TY - CHAP A1 - Kisser, Lea A1 - Busch, Matthias A1 - Siegert, Ingo ED - Baumann, Timo T1 - Review of Usage and Potentials of Conversational Interfaces at Universities and in Students Daily Lifes T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - The continuous advancement of digitization extends beyond educational institutions, giving rise to numerous innovations, particularly in the realm of study information [1]. One avenue for incorporating digital methodologies involves leveraging conversational agents (CAs) [2], serving as interactive interfaces bridging the gap between humans and computers. In the broader context, conversational agents are gaining prominence, offering several benefits to their users. The overarching goal is to comprehensively assist users through these intelligent systems. Consequently, exploring existing university chatbots becomes imperative to discern the areas where they excel. This research aims to scrutinize diverse chatbot systems, delving into their use cases and the challenges they encounter, employing a systematic review. Here it turns out that chatbots support universities the most in the fields of administration, e-learning and mental health. Furthermore, the study will investigate practical experiences on the potential applications and implementation of these systems in university settings, incorporating insights from an online survey and interviews, both made with experts. Here it comes to conclusion that preparation in relation to a chatbot implementation is the key factor to success. Otherwise, a failed system is nearly impossible to be saved, once users lost trust in the system. Therefore, carefully made preparations in the technical and organisational field are necessary to provide a helpful assistant. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70789 SN - 978-3-95908-325-6 SP - 38 EP - 45 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Walther, Mathias A1 - Zeuner, Elisabeth A1 - Rykova, Eugenia ED - Baumann, Timo T1 - Interaktionsverhalten eines Avatars im digitalen sprachtherapeutischen Setting T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - Die Therapie-App aphaDIGITAL wird im Rahmen eines Forschungsprojekts entwickelt, um Menschen mit Aphasie im häuslichen Umfeld zu unterstützen. Das Projekt kombiniert bewährte Therapiemethoden mit digitalen Technologien, einschließlich künstlicher Intelligenz und einem interaktiven Avatar namens Eva. Dieser Artikel betrachtet die Analyse und Entwicklung der Interaktionsmechanismen, die für eine digitale Assistenz von Aphasietherapie den größten Einfluss haben. Es wurden dazu reale Therapiesitzungen zwischen sprachgeschädigten Menschen und ihren Therapeuten konversationsanalytisch nach spezifischen Merkmalen untersucht. Darauf aufbauend wurde durch manuelle Animation ein prototypisches Mundbild modelliert und ein eigenes Artikulationssystem konzipiert, um ein entsprechend authentisches Modell der deutschen Artikulations- und Koartikulationsmuster abzubilden. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70774 SN - 978-3-95908-325-6 SP - 30 EP - 37 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Kany, Valentin A1 - Trouvain, Jürgen ED - Baumann, Timo T1 - Computergestützte Bestimmung des Sprechflusses bei Vorschulkindern T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - Die vorliegende Studie untersucht, inwiefern sich die in der Phonetik verbreiteten Skripte zur automatisierten Feststellung von verschiedenen Aspekten des Sprechflusses von de Jong et al. zur Beurteilung des Sprachstands bei Kindern eignen und in welcher Art und Weise die Methodik angepasst werden könnte. Dazu wurden Sprachdaten von Vorschulkindern mit Deutsch als Muttersprache bzw. als Zweitsprache mithilfe eines Serious Game zur Sprachstandserhebung elizitiert. Die Audiodaten wurden bezüglich Artikulationsrate, Pausen und Füllpartikeln sowohl automatisiert durch die Skripte als auch manuell annotiert. Die Ergebnisse zeigen, dass sich die Skripte zur Ermittlung der Artikulationsrate mit einer relativ hohen Übereinstimmung mit der manuellen Ermittlung zur Verwendung in Sprachstandserhebungsverfahren eignen. Auch die automatische Erkennung von Sprechpausen weist einen hohen Precision-Wert auf und könnte als Instrument in Sprachstandserhebungen verwendet werden. Eine solche Verwendung würde mit einer Erweiterung um die hier vorgestellte manuelle Methode zum Annotieren von disfluenten und nicht disfluenten Pausen profitieren. Bei den Füllpartikeln stellte sich die automatisierte Klassifizierung hingegen als weniger geeignet heraus. Hier wurde keine hohe Übereinstimmung mit der menschlichen Annotation festgestellt. Um in der Praxis Verwendung finden zu können, muss diese Methode noch erweitert werden, zum Beispiel durch Miteinbeziehen der Pausenerkennung. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70819 SN - 978-3-95908-325-6 SP - 62 EP - 69 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Eliseeva, Uliana A1 - Yuen, Ivan A1 - Möbius, Bernd ED - Baumann, Timo T1 - Perception of Formant Distortion in German Words and Non-words T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - Concatenative text-to-speech (TTS) systems remain a widely used cheaper alternative to neural TTS systems. Yet concatenation of prerecorded units entails some drawbacks, such as spectral distortion, the perceptual consequences of which remain unclear. In an attempt to bridge this gap, our study focused on the effect of spectral distortion in vowel formants on perceived speech quality in naturally-read manipulated German words as well as non-words. More specifically, we explored the distortion effect on a varying number of affected formants, at different magnitude and directionality in two corner vowels /a:/ and /i:/. The results indicate that single formant manipulations have a less pronounced effect on the listeners’ perception compared to multiple formant perturbations. The threshold at which the distortion became generally audible was estimated to lie between 0.4 and 1.0 bandwidth. The directionality of the distortion was not found to be significant. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70793 SN - 978-3-95908-325-6 SP - 46 EP - 53 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Kuhn, Johannes A1 - Wolff, Matthias A1 - Borislavov, Borislav ED - Baumann, Timo T1 - Epsilon-Verarbeitung bei minimalistischen Grammatiken für Zahlen T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - Um bei Minimalistischen Grammatiken (MG) Übergenerierung zu vermeiden, kann man Einträge mit leeren Exponenten (ε-Einträge) verwenden. Ein Eintrag besteht aus einem Exponenten, der die Äußerung oder Schrift eines Wortes repräsentiert, einer Merkmalsliste, welche die Syntax kodiert und einem λ-Ausdruck, der die Semantik repräsentiert. Leere Einträge führen allerdings zu einer schlechteren Verwendbarkeit der Grammatik für das Parsen. Die vorliegende Arbeit wird ein Umformungsalgorithmus für MGs vorstellen, sodass die Anzahl der ε-Einträge verringert werden kann, um sie wieder für Parser verwendbar zu machen. Hierzu werden die ε-Einträge mit den anderen Einträgen vorverarbeitet und dadurch neue Einträge geschaffen. Die nun überflüssigen ε-Einträge können dann problemlos entfernt werden. Der Algorithmus wurde anhand von über 260 Zahlwortgrammatiken getestet. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70830 SN - 978-3-95908-325-6 SP - 78 EP - 85 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Höge, Harald ED - Baumann, Timo T1 - The Use of Temporal Features in Cortical Segmentation of Syllables T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - There is high confidence for the hypothesis that in speech perception the cycles of a θ-oscillation segment the auditory signal into syllables [8]. Yet the functionality of the oscillator generating the θ-oscillation is unknown. We follow the finding that, within an auditory scene, speech is perceived as a stream given by temporal coherence [12]. We work with the hypotheses that the θ-oscillator is driven by temporal features providing this coherence. We propose a new temporal feature called O-distance, which detects the onset of a syllable - the starting point to of a θ-cycle–triggered by the temporal distance from to to the instance of the maximal rise of the loudness curve of the vowel. To extract to from the auditory signal, we use the statistical properties of this distance based on the C-center hypothesis [25], which predicts a close temporal relation of the onset consonants to the onset of a vowel. The statistics are derived from reference O-distance extracted from an articulatory database, where the minima and maxima of the loudness are related to maxima and minima of the lower incisor and tongue tip. To judge the quality of the O-distance extracted from the auditory signal, we regard the temporal deviation of the O-distance to the reference O-distance. Currently we achieve a mean deviation of 34ms. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70823 SN - 978-3-95908-325-6 SP - 70 EP - 77 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Schaffer, Stefan A1 - Schwaetzer, Eva A1 - Ruß, Aaron A1 - Gustke, Oliver ED - Baumann, Timo T1 - Chatbot in the Museum – A Field Study of User Experience and Modality Usage T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - This paper describes a field study conducted with a museum chatbot at the Städel Museum Frankfurt. The chatbot uses the BERT language model for natural language processing and can be operated via touchscreen as well as via speech input. Prior to the study, hypotheses regarding the user experience of the system were formulated and a system-specific questionnaire was designed, which was used to inquire (among other things) about the perceived quality of the speech output and the frequency of audio guide use in museums. During the interaction with the chatbot, log data was collected and stored in the back-end system. The results show a significant correlation between perceived speech quality and user experience. An exploratory data analysis revealed that participants who used only speech input rated the system as significantly more stimulating than participants who used only touch input. Touch input turned out to be the most efficient input modality in terms of answer correctness and was rated highest regarding pragmatic quality. Interestingly touch input was preferred by younger participants. We discuss our findings and conclude that speech interaction should be seriously considered to create engaging conversational user experiences in museums. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70758 SN - 978-3-95908-325-6 SP - 14 EP - 21 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Possamai de Menezes, João Vítor A1 - Kleiner, Christian A1 - Kainz, Marie-Anne A1 - Echternach, Matthias A1 - Birkholz, Peter ED - Baumann, Timo T1 - Synchrony of Glottal Area Waveform Parameters During the Production of Obstruents in Vowel Context T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - Obstruents are phonemes which require partial or total obstruction of airflow through the vocal tract. Their articulation also requires adjustments of the laryngeal settings, e. g., an abduction gesture to stop vocal fold vibration for voiceless obstruents. This study investigated the laryngeal settings during the production of voiced and voiceless obstruents in vowel context to analyze the degree of synchrony of the involved glottal gestures. High-speed laryngoscopy images were used to determine the glottal area waveform, from which the time functions of the parameters open quotient (OQ), fundamental frequency (f0), and AC and DC amplitude (ACA and DCA) were calculated and analyzed. Significant correlations were found between all pairs of parameters, with strong correlations between some of them, e.g. Open Quotient and AC Amplitude. Correlations were also either consistently positive or negative for specific pairs of parameters across all investigated phonemes. These results could point to consistent patterns in laryngeal gestures that could enhance articulatory speech synthesis. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70808 SN - 978-3-95908-325-6 SP - 54 EP - 61 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Hillmann, Stefan A1 - Kowol, Philine A1 - Ahmad, Adnan A1 - Tang, Ruochen A1 - Möller, Sebastian ED - Baumann, Timo T1 - Usability and User Experience of a Chatbot for Student Support T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - This paper describes the usability evaluation of the parts of the CHATU chatbot. The evaluation was conducted with 21 participants. A focus of this paper is the description of the carefully designed evaluation procedure, which aims to avoid textual priming of the participants. The general evaluation procedure can be applied to other speech- or text-based conversational systems, and additional material is provided. The evaluation results show that the usability and user experience of CHATU are positively rated. However, the naturalness and novelty of the interaction are not optimal, and the potential influence of users’ experience with LLMs on the evaluation is discussed. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70760 SN - 978-3-95908-325-6 SP - 22 EP - 29 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Kruspe, Anna ED - Baumann, Timo T1 - More than words: Advancements and Challenges in Speech Recognition for Singing T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - This paper addresses the challenges and advancements in speech recognition for singing, a domain distinctly different from standard speech recognition. Singing encompasses unique challenges, including extensive pitch variations, diverse vocal styles, and background music interference. We explore key areas such as phoneme recognition, language identification in songs, keyword spotting, and full lyrics transcription. I will describe some of my own experiences when performing research on these tasks just as they were starting to gain traction, but will also show how recent developments in deep learning and large-scale datasets have propelled progress in this field. My goal is to illuminate the complexities of applying speech recognition to singing, evaluate current capabilities, and outline future research directions. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70748 SN - 978-3-95908-325-6 SP - 1 EP - 10 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Schuler, Christian A1 - Nayak, Shravan A1 - Saha, Debjoy A1 - Baumann, Timo ED - Baumann, Timo T1 - Can We See Your Response Before You Speak? Exploring Linguistic Information Found in Inter-Utterance Pauses T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - In this work we assess whether there is information in pauses in-between utterances of the same or different speakers that are predictive of the following speaker’s utterance. We present models that connect a person’s visual features before they speak to their upcoming utterance. In our experiments we find that outof-the-box pre-trained models can already reach a better-than-chance performance in correlating video embeddings to utterance embeddings. In contrast, models that attempt to predict the first word after the pause do not outperform a unigram model, indicating that our models do not read lips (based e.g. on co-articulation effects) but rather capture more fundamental aspects of the upcoming utterance. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70949 SN - 978-3-95908-325-6 SP - 165 EP - 172 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Schubert, Martha A1 - Sinha, Yamini A1 - Krüger, Julia A1 - Siegert, Ingo ED - Baumann, Timo T1 - Speech Recognition Errors in ASR Engines and Their Impact on Linguistic Analysis in Psychotherapies T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - Modern intervention planning in psychotherapies may benefit from predicting process relevant psychotherapy constructs by automated speech analysis. One essential step is the extraction of relevant linguistic speech markers by ASR engines, which because of highly sensible data, work offline. We analyze transcription errors from NeMo, Whisper, and Wav2Vec2.0, focusing on their impact on linguistic markers usually requiring high quality transcripts. By utilizing part-of-speech tagging, we examine error occurrences among different word types. The Linguistic Inquiry and Word Count (LIWC) software aids in extracting markers. We highlight challenges in transcribing spontaneous speech, prevalent in therapy, and compare results with the Mozilla CommonVoice dataset, which features read speech. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70999 SN - 978-3-95908-325-6 SP - 203 EP - 210 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Harnisch, Philipp L. A1 - Hillmann, Stefan ED - Baumann, Timo T1 - Empirical Evaluation of ASR and NLU in a Multimodal Dialogue System for Survey Answering T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - PROM surveys, used to measure the effect of rehabilitation treatments, are typically filled out on paper, and often suffer from low response rates. Replacing it with a multimodal survey system, supporting touch and speech interaction, could lead to lower hurdles and therefore more data quantity. To do this, it requires task-specific training samples for the Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) to classify spoken answers into one of the standardized PROM answer options. Due to the lack of training data for medical PROM surveys, we created augmented text samples with each answer option description, combined with different templates. To improve training capabilities, introduce a proper test set, and evaluate the ASR, we also collected 1,797 real voice samples within an empirical study. Further, we incorporate the contextual knowledge of the current question into our NLU architecture by implementing one classifier for every question scale. Our results reveal that training with empirical data leads to better results than augmented data from templates and original answer option descriptions. Because of participant mislabeling of 33% due to the ambiguity of the task, we receive overall low NLU performances with up to 51.1% accuracy, and rank-1-accuracy up to 79.3%. We also find that our implementation of many scale-specific NLU classifiers significantly outperforms one NLU classifier for all labels, that incorporates the same contextual knowledge after the prediction, by 8 percent points. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-71007 SN - 978-3-95908-325-6 SP - 211 EP - 218 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Venkateswaran, Siddarth A1 - Al Foysal, Abdullah A1 - Shaik, Nazeer Basha A1 - Böck, Ronald ED - Baumann, Timo T1 - Is there Text in Wine? – S+U Learning-based Named Entity Recognition and Triplet Extraction from Wine Aroma Descriptors T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - Wine making is usually considered a domain being far off the processing of speech and language. But in a particular aspect, the domains of speech processing and wine making are related, namely, in the description of wine aromas. These descriptors are used for creating wine expertise as well as more general (advertisement-like) textual representations. In the current paper, we use Natural Language Processing techniques, especially Named Entity Recognition, to identify Aspects and Opinions, reflecting wine characteristics. These are combined with analyses of respective relations (triplet extraction) building Aspect-Opinion-Pairs to establish indicative aroma descriptors, also trying to approach the complex interplay amongst these individual statements. In our experiments, we rely on the Falstaff corpus comprising a huge set of wine descriptions. This results in an average F1 score of around 0.85 for Aspect-Opinion classification. For triplet generation multiple strategies were compared, resulting in an average F1 score of 0.67 in this challenging task. For both tasks we rely only on a handful of manually annotated samples, applying pseudo-labeling methods from seed data to achieve automatic labeling. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70931 SN - 978-3-95908-325-6 SP - 157 EP - 164 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Bauer, Judith A1 - Zalkow, Frank A1 - Müller, Meinard A1 - Dittmar, Christian ED - Baumann, Timo T1 - Evaluating the Impact of Prosody Feature Normalization on the Controllability of Pitch in Speech Synthesis T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - Recent neural text-to-speech (TTS) models are able to synthesize highly natural speech signals using deep learning techniques. In practical applications, it can be desirable to have explicit control over the prosody (speech rate, fundamental frequency, and energy) of the synthesized speech. Such controllability can be achieved by adding prosody prediction modules, whose main purpose is to estimate plausible prosody features for each phoneme in the text input. This explicit modeling also allows for changing prosody features at inference time, consequently enabling the adjustment of the prosody in the synthesized audio. In this paper, we evaluate to which extent deliberate manipulation of such prosody features is reflected in the resulting speech audio. We focus particularly on changing the pitch (i.e., fundamental frequency) while applying different normalization strategies. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70976 SN - 978-3-95908-325-6 SP - 188 EP - 195 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Sinha, Yamini A1 - Hintz, Jan A1 - Siegert, Ingo ED - Baumann, Timo T1 - Evaluation of Audio Deepfakes – Systematic Review T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - Generative models for audio are commonly used for music composition, sound effects generation for video game development, audio restoration, voice cloning, etc. The ease of generating indistinguishable fake audio with deep learning poses a major threat to personal privacy, online security, and political discourse. Evaluating the quality and realism of these synthetic utterances is crucial for mitigating the potential for misinformation and harm. To assess this threat, this paper conducts a systematic review, using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), on how these deepfake models are currently evaluated. The analysis of 86 papers shows that the majority of the evaluation is conducted on a machine level and highlights a research gap regarding the human perception of deepfakes. This paper explores various methods and perceptual measures employed in assessing audio deepfakes and evaluating their strengths, limitations, and future directions. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70960 SN - 978-3-95908-325-6 SP - 181 EP - 187 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Sering, Konstantin ED - Baumann, Timo T1 - Speech/Non-Speech Classification Slightly Improves Synthesis Quality in PAULE T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - One of the tasks PAULE[1, 2] solves is finding suitable control parameter (cp-)trajectories for a given target acoustic. These cp-trajectories can be used to synthesize speech with the articulatory speech synthesizer of the VocalTractLab (VTL) [3]. If the target acoustic contains substantial microphone noise or other background noises, occasionally PAULE optimizes not for the speech in the target, but for this background noises. By adding a speech/non-speech classifier to the feedback and planning-loop in PAULE this resynthesis of background noises should be mitigated. Unfortunately, the improvements were minor, which might be due to uninformative gradients of the classifier. The importance of informative gradients and the use classifiers to adapt PAULE to different tasks are explained and discussed. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-70955 SN - 978-3-95908-325-6 SP - 173 EP - 180 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Mousavi, Neda A1 - Grawunder, Sven ED - Baumann, Timo T1 - The influence of signal segmentation methods on rhythm-bassed speaker recognition T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 N2 - This study investigates the effects of speech segmentation methods on speaker recognition models, particularly with regard to the use of rhythmic feature sets. Using three automatic methods and one manual method on the German database of Kiel corpus, segmentation was performed based on the identification of vowel onsets. Subsequently rhythmic variability indices derived from these intervals were calculated and used for principal component analysis and support vector machine model in order to investigate the variation among speakers. The results underline the influence of signal segmentation methods on speaker recognition models. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-71014 SN - 978-3-95908-325-6 SP - 225 EP - 232 PB - TUDpress CY - Dresden ER - TY - JOUR A1 - Westner, Markus T1 - Low-Code/No-Code: Citizen Developers and the Surprising Future of Business Applications JF - HMD Praxis der Wirtschaftsinformatik Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-74906 SN - 1436-3011 SP - 1067 EP - 1069 PB - Springer Fachmedien CY - Wiesbaden ER - TY - CHAP A1 - Haug, Sonja A1 - Raptis, Georgios A1 - Weber, Karsten ED - Weber, Karsten ED - Haug, Sonja ED - Lauer, Norina ED - Mohr, Christa T1 - Einstellung zu Datenschutz und Wahrnehmung von Datensicherheit im Gesundheitsbereich BT - Die Sicht der Stakeholder*innen und der Bevölkerung T2 - Digitale Technik für ambulante Pflege und Therapie III : Nutzung Akzeptanz Wirkung und Lebensqualität T3 - Regensburger Beiträge zur Digitalisierung des Gesundheitswesens - 4 Y1 - 2024 SN - 978-3-8376-6728-8 U6 - https://doi.org/10.14361/9783839467282-003 SP - 13 EP - 28 PB - transcript CY - Bielefeld ER - TY - CHAP A1 - Weber, Karsten A1 - Kleine, Nadine ED - Heinlein, Michael ED - Huchler, Norbert T1 - Normierung, Regulierung, Governance: Wie, von wem und mit welchen Mitteln kann der Einsatz Künstlicher Intelligenz gesellschaftlich gestaltet werden? T2 - Künstliche Intelligenz, Mensch und Gesellschaft: Soziale Dynamiken und gesellschaftliche Folgen einer technologischen Innovation N2 - Künstliche Intelligenz (KI) stellt eine Schlüsseltechnologie des gesellschaftlichen Wandels im 21. Jahrhundert dar. Mittlerweile werden zahlreiche technologische Anwendungen genutzt, die auf maschinellem Lernen und den damit verbundenen Möglichkeiten der Datensamm¬lung, -nutzung und -verwertung aufbauen. Indem KI große Datenmengen beherrschbar und verborgene Muster und Zusammenhänge sichtbar macht, wird vieles schneller, einfacher und effizienter – sei es im Alltag, in der Arbeit oder in Organisationen. Offen bleibt jedoch nach wie vor die Frage, welche tiefgreifenden und teilweise latenten Folgen für den Menschen als soziales Wesen und das gesellschaftliche Zusammenleben mit dem Einsatz und der Entwick¬lung von KI verbunden sind. Wie wandelt sich das Verhältnis von Mensch und Technik durch KI und wie ist dieser Wandel zu bewerten? Welche Chancen, aber auch Risiken eröffnen sich durch den Einsatz und die Entwicklung von KI für Mensch und Gesellschaft? Welchen Grenzen unterliegt der Wandel und welche Gestaltungsmöglichkeiten bieten sich? Und nicht zuletzt: Was und wer bestimmt die Entwicklungspfade, die KI nimmt – mit welchen Folgen und für wen? KW - Digital Sociology KW - Techniksoziologie KW - STS KW - Künstliche intelligenz KW - Sicherheitsforschung KW - Technikphilosophie KW - Methoden der KI-Forschung KW - Technisierung von Arbeit KW - Governance KW - Soziale Dynamik von Künstlicher Intelligenz KW - Akteure im KI-Diskurs KW - Theorie sozialen Handelns KW - Social Inequality KW - KI und gesellschaftlicher Wandel Y1 - 2024 SN - 978-3-658-43521-9 U6 - https://doi.org/10.1007/978-3-658-43521-9_8 SP - 179 EP - 198 PB - Springer ER - TY - CHAP A1 - Weber, Karsten A1 - Kleine, Nadine ED - Heinlein, Michael ED - Huchler, Norbert T1 - Norms, Regulation, Governance: How, by Whom, and by What Means Can the Use of Artificial Intelligence Be Shaped by Society? T2 - Artificial Intelligence in Society N2 - AI regulation, defining norms, and governance regarding AI are not only difficult endeavors due to rapid development of AI technology; the complexity of the issue at stake alone and its social, economic, societal, and political aspects raise far-reaching and interdependent challenges. Given globalized research and development as well as the worldwide use of AI, national regulations are probably doomed to fail; supranational norms, regulation, and governance, in turn, pose the problem of enforceability. Not least for this reason, current regulatory approaches differ greatly in terms of their sophistication and effectiveness, because, among other things, the stakeholders involved have rather different interests as well as exert influence in different ways and varying degrees; simultaneously those stakeholders vie for imposing their view and interpretation regarding the discourse on defining norms, regulation, and governance of AI. The complexity of the situation is also increased because AI can be directly and indirectly regulated, and norms can be directly and indirectly imposed, but there is also regulation of humans and their behavior by AI. This paper aims to illustrate the complexity of the field, introduces types of actors, describes various regulatory approaches, and provides a preliminary assessment of the possibilities of defining norms, regulation, and governance of AI. Y1 - 2024 SN - 978-3-658-45707-5 SN - 978-3-658-45708-2 U6 - https://doi.org/10.1007/978-3-658-45708-2_13 SP - 331 EP - 349 PB - Springer Fachmedien Wiesbaden CY - Wiesbaden ER - TY - GEN A1 - Weber, Karsten A1 - Kann, Peter T1 - Paradigmenwechsel? Karsten Weber über KI in den Geistes- und Sozialwissenschaften N2 - In dieser Folge begrüßen wir ein weiteres Mal Karsten Weber von der OTH Regensburg zu Gast, Professor für Technikfolgenabschätzung und Technikbewertung an der Fakultät für Informatik und Mathematik. Gemeinsam mit unserem Moderator Peter Kann spricht er über Herausforderungen und Potenziale, die das verstärkte Aufkommen von Künstlicher Intelligenz in den Geistes- und Sozialwissenschaften hervorruft, sowie über die damit verbundenen philosophischen Fragen nach Bewusstsein, Denken und Emotionen von Maschinen. Erfahren Sie außerdem, warum Grenzen zwischen quantitativen und qualitativen Forschungsarbeiten zunehmend schwinden und wie eine enge interdisziplinäre Zusammenarbeit neue Impulse zur Bewältigung des Spannungsfeldes globaler Wettbewerbsfähigkeit und der Regulierung von KI geben kann. Y1 - 2024 UR - https://open.spotify.com/show/2SHSE2Bu0gKlVYYPYHeyOf ER - TY - CHAP A1 - Frommeld, Debora A1 - Weber, Karsten ED - Weber, Karsten ED - Haug, Sonja ED - Lauer, Norina ED - Mohr, Christa T1 - Aufklärung, Risiko, Datennutzung: Ergebnisse einer MEESTAR-Befragung zu Telepräsenzrobotern T2 - Digitale Technik für ambulante Pflege und Therapie III - Nutzung Akzeptanz Wirkung und Lebensqualität T3 - Regensburger Beiträge zur Digitalisierung des Gesundheitswesens - 4 Y1 - 2024 SN - 978-3-8376-6728-8 U6 - https://doi.org/10.14361/9783839467282-011 SP - 241 EP - 272 PB - transcript CY - Bielefeld ER - TY - GEN ED - Weber, Karsten ED - Zoglauer, Thomas T1 - Gesundheit und Krankheit im Zeitalter der Digitalisierung N2 - Wie verändert sich das individuelle und gesellschaftliche Verständnis von Gesundheit und Krankheit durch die Einführung neuer digitaler Technologien? Die Beiträger*innen berücksichtigen technische Aspekte, fokussieren jedoch vor allem darauf, dass die Bestimmung und Grenze zwischen Gesundheit und Krankheit immer stärker auf Quantifizierung oder Daten beruht. Das zieht Veränderungen im Verhältnis von Patient*innen und Ärzt*innen nach sich, betrifft aber auch das Selbstverhältnis zum eigenen Körper und wirft die Frage auf, wie gesundheitsbezogene Ressourcen zukünftig zugeteilt werden. Der interdisziplinäre Blick auf diese Themen bietet sowohl für Gesundheitstheorie als auch -praxis wertvolle Anschlussmöglichkeiten und legt gemeinsame Bezugspunkte offen. T3 - Regensburger Beiträge zur Digitalisierung des Gesundheitswesens - 5 Y1 - 2024 SN - 978-3-8376-7394-4 U6 - https://doi.org/10.14361/9783839473948 N1 - Enthaltene Beiträge sind einzeln erfasst. PB - transcript CY - Bielefeld ER - TY - CHAP A1 - Frommeld, Debora A1 - Weber, Karsten ED - Weber, Karsten ED - Haug, Sonja ED - Lauer, Norina ED - Mohr, Christa T1 - Potenziale von Telepräsenzrobotern für die Pflege älterer Menschen BT - eine systematische Literaturanalyse T2 - Digitale Technik für ambulante Pflege und Therapie III : Nutzung Akzeptanz Wirkung und Lebensqualität T3 - Regensburger Beiträge zur Digitalisierung des Gesundheitswesens - 4 Y1 - 2024 SN - 978-3-8376-6728-8 U6 - https://doi.org/10.14361/9783839467282-012 SP - 273 EP - 306 PB - transcript CY - Bielefeld ER - TY - CHAP A1 - Frommeld, Debora A1 - Weber, Karsten ED - Weber, Karsten ED - Haug, Sonja ED - Lauer, Norina ED - Mohr, Christa T1 - Telepräsenzroboter zur Unterstützung von Pflege und Therapie BT - Eine qualitative Interviewstudie zu Nutzung und Ablehnung T2 - Digitale Technik für ambulante Pflege und Therapie III: Nutzung Akzeptanz Wirkung und Lebensqualität T3 - Regensburger Beiträge zur Digitalisierung des Gesundheitswesens - 4 Y1 - 2024 SN - 978-3-8376-6728-8 U6 - https://doi.org/10.14361/9783839467282-013 SP - 307 EP - 328 PB - transcript CY - Bielefeld ER - TY - CHAP A1 - Weber, Karsten ED - Weber, Karsten ED - Zoglauer, Thomas T1 - Szenarien des KI-Einsatzes zur Sterbevorhersage T2 - Gesundheit und Krankheit im Zeitalter der Digitalisierung T3 - Regensburger Beiträge zur Digitalisierung des Gesundheitswesens - 5 Y1 - 2024 SN - 978-3-8376-7394-4 U6 - https://doi.org/10.14361/9783839473948-007 SP - 155 EP - 188 PB - transcript CY - Bielefeld ER - TY - CHAP A1 - Weber, Karsten A1 - Zoglauer, Thomas ED - Weber, Karsten ED - Zoglauer, Thomas T1 - Gesundheit und Krankheit im Zeitalter der Digitalisierung BT - Markierung, Verschiebung oder Überwindung einer umstrittenen Grenzziehung T2 - Gesundheit und Krankheit im Zeitalter der Digitalisierung T3 - Regensburger Beiträge zur Digitalisierung des Gesundheitswesens - 5 Y1 - 2024 SN - 978-3-8376-7394-4 U6 - https://doi.org/10.14361/9783839473948-001 SP - 7 EP - 20 PB - transcript CY - Bielefeld ER - TY - JOUR A1 - Schneider, Diana A1 - Weber, Karsten T1 - AI for decision support: What are possible futures, social impacts, regulatory options, ethical conundrums and agency constellations? JF - TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis N2 - Although artificial intelligence (AI) and automated decision-making systems have been around for some time, they have only recently gained in importance as they are now actually being used and are no longer just the subject of research. AI to support decision-making is thus affecting ever larger parts of society, creating technical, but above all ethical, legal, and societal challenges, as decisions can now be made by machines that were previously the responsibility of humans. This introduction provides an overview of attempts to regulate AI and addresses key challenges that arise when integrating AI systems into human decision-making. The Special topic brings together research articles that present societal challenges, ethical issues, stakeholders, and possible futures of AI use for decision support in healthcare, the legal system, and border control. N2 - Obwohl künstliche Intelligenz (KI) und automa‑tisierte Entscheidungssysteme schon länger existieren, haben sie erst in jüngster Zeit stark an Bedeutung gewonnen, da sie nun tatsäch‑lich eingesetzt werden und nicht mehr nur Gegenstand der Forschung sind. KI zur Unterstützung von Entscheidungen betrifft somit immer grö‑ßere Teile der Gesellschaft, wodurch technische, vor allem aber ethi‑sche, rechtliche und soziale Herausforderungen entstehen, da nun Ent‑scheidungen von Maschinen getroffen werden können, die bisher in der Verantwortung von Menschen lagen. Diese Einführung gibt einen Über‑blick über die Versuche, KI zu regulieren, und geht auf zentrale Heraus‑forderungen ein, die sich aus der Integration von KI‑Systemen in die menschliche Entscheidungsfindung ergeben. Das Special topic versammelt Forschungsartikel, die gesellschaftliche Herausforderungen, ethi‑sche Fragen, Akteur*innen sowie mögliche Zukünfte des KI‑Einsatzes zur Entscheidungsunterstützung in der Gesundheitsversorgung, dem Rechtssystem und bei der Grenzkontrolle präsentieren. T2 - KI zur Entscheidungsunterstützung: Was sind mögliche Zukünfte, soziale Auswirkungen, regulatorische Optionen, ethische Fragen und Akteurskonstellationen? KW - artificial intelligence (AI) KW - decision support KW - socio-technical systems KW - regulation KW - social impacts Y1 - 2024 U6 - https://doi.org/10.14512/tatup.33.1.08 SN - 2567-8833 SN - 2568-020X VL - 33 IS - 1 SP - 8 EP - 13 PB - oekom verlag CY - München ER - TY - JOUR A1 - Schneider, Diana A1 - Weber, Karsten T1 - AI‑based decision support systems and society: An opening statement JF - TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis N2 - Although artificial intelligence (AI) and automated decision-making systems have been around for some time, they have only recently gained in importance as they are now actually being used and are no longer just the subject of research. AI to support decision-making is thus affecting ever larger parts of society, creating technical, but above all ethical, legal, and societal challenges, as decisions can now be made by machines that were previously the responsibility of humans. This introduction provides an overview of attempts to regulate AI and addresses key challenges that arise when integrating AI systems into human decision-making. The Special topic brings together research articles that present societal challenges, ethical issues, stakeholders, and possible futures of AI use for decision support in healthcare, the legal system, and border control. KW - artificial intelligence (AI) KW - decision support KW - socio-technical systems KW - regulation KW - social impacts Y1 - 2024 U6 - https://doi.org/10.14512/tatup.33.1.9 VL - 33 IS - 1 SP - 9 EP - 13 PB - Oekom ER - TY - INPR A1 - Dotter, Caroline A1 - Vetter, Miriam A1 - Haug, Sonja A1 - Weber, Karsten T1 - Determinants of Electricity Expenditure by Private Households. Analysis of the 2018 Survey of Income and Expenditure for Germany N2 - Determinants of household electricity consumption measured by smart meters found by the authors in a scoping review were analyzed for the example of Germany utilizing the 2018 Survey of Income and Expenditure. All variables identified in the scoping review were covered in the survey (number and type of appliances, sociodemographic, and dwelling-related aspects). One can therefore use this large representative data set to test these relationships for German households. Expenditure on electricity is considered an indicator of household electricity consumption. The determinants show weak to moderate correlations with energy expenditure in bivariate analyses. The multivariate analysis shows effects of household-specific, dwelling-related, and appliance-specific factors. Models considering only one aspect overestimate this effect. Thus, all three aspects should be considered simultaneously when explaining residential electricity consumption. The largest effects are found for electricity as the main energy source for heating, the number of household members, as well as their presence at home. While household structure plays an important part in explaining residential energy consumption, dwelling and appliance-related aspects influence it as well. The latter aspects may be influenced by appropriate policy measures. KW - Electricity consumption KW - private household KW - expenditure survey KW - residential electricity consumption KW - household structure Y1 - 2024 U6 - https://doi.org/10.2139/ssrn.4815428 PB - SSRN - Elsevier ER - TY - CHAP A1 - Haug, Sonja A1 - Weber, Karsten ED - Weber, Karsten ED - Zoglauer, Thomas T1 - Ungewollte Kinderlosigkeit in Zeiten digitaler Informations-, Kommunikationsund Interaktionsangebote T2 - Gesundheit und Krankheit im Zeitalter der Digitalisierung T3 - Regensburger Beiträge zur Digitalisierung des Gesundheitswesens - 5 Y1 - 2024 SN - 978-3-8376-7394-4 U6 - https://doi.org/10.14361/9783839473948-009 SP - 211 EP - 236 PB - transcript CY - Bielefeld ER - TY - JOUR A1 - Göppel, Simon A1 - Frikel, Jürgen A1 - Haltmeier, Markus T1 - Data-Proximal Complementary ℓ1-TV Reconstruction for Limited Data Computed Tomography JF - Mathematics N2 - In a number of tomographic applications, data cannot be fully acquired, resulting in severely underdetermined image reconstruction. Conventional methods in such cases lead to reconstructions with significant artifacts. To overcome these artifacts, regularization methods are applied that incorporate additional information. An important example is TV reconstruction, which is known to be efficient in compensating for missing data and reducing reconstruction artifacts. On the other hand, tomographic data are also contaminated by noise, which poses an additional challenge. The use of a single regularizer must therefore account for both the missing data and the noise. A particular regularizer may not be ideal for both tasks. For example, the TV regularizer is a poor choice for noise reduction over multiple scales, in which case ℓ1 curvelet regularization methods are well suited. To address this issue, in this paper, we present a novel variational regularization framework that combines the advantages of different regularizers. The basic idea of our framework is to perform reconstruction in two stages. The first stage is mainly aimed at accurate reconstruction in the presence of noise, and the second stage is aimed at artifact reduction. Both reconstruction stages are connected by a data proximity condition. The proposed method is implemented and tested for limited-view CT using a combined curvelet–TV approach. We define and implement a curvelet transform adapted to the limited-view problem and illustrate the advantages of our approach in numerical experiments. KW - image reconstruction KW - limited data KW - artifact reduction KW - sparse regularization KW - total variation KW - wedge-adapted curvelets Y1 - 2024 U6 - https://doi.org/10.3390/math12101606 SN - 2227-7390 N1 - Corresponding author der OTH Regensburg: Jürgen Frikel (und Markus Haltmeier) VL - 12 IS - 10 PB - MDPI ER - TY - JOUR A1 - Malovanij, Julian A1 - Herrmann, Frank T1 - Implementierung eines Treibers zur Anbindung von Mikrocontroller-basierten Maschinen über OPC-UA an das Konfigurations- und Inbetriebnahme-Tool von SSI Schäfer JF - Anwendungen und Konzepte der Wirtschaftsinformatik N2 - Das Thema „Implementierung eines Treibers zur Anbindung von Mikrocontroller-basierten Maschinen über OPC-UA an das Konfigurations- und Inbetriebnahme-Tool von SSI Schäfer“ soll zu einem Gerätetreiber für das Konfigurations- und Inbetriebnahme-Tool CPM führen, welcher den Anschluss von neuen Maschinen an ebendieses ermöglicht. Aktuell befinden sich diese noch in Entwicklung, jedoch sollen sie, von den Vorteilen des CPM-Tools profitieren, welches unter anderem den Inbetriebnahmeprozess einfacher und schneller gestalten kann. Ziel ist somit die Anbindung dieser Maschinen durch die Spezifikation einer Schnittstelle und der Implementierung dieser auf Basis der Schnittstellen des CPM-Tools, in welches sich der Gerätetreiber nahtlos einfügen soll. KW - Gerätetreiber KW - Mikrokontroller-basierte Maschinen KW - SPS KW - OPC-UA Y1 - 2024 U6 - https://doi.org/10.26034/lu.akwi.2024.6210 SN - 2296-4592 IS - 20 SP - 54 EP - 66 PB - AKWI ER - TY - CHAP A1 - Stadler, Sebastian A1 - Chardonnet, Jean-Rémy ED - Singh, Sunpreet ED - Subburaj, Karupppasamy ED - Ćuković, Saša ED - Sandhu, Kamalpreet ED - Meixner, Gerrit ED - Petruse, Radu Emanuil T1 - Embracing virtual reality T2 - SMART VR/AR/MR SYSTEMS FOR PROFESSIONALS N2 - This chapter investigates the potential impacts of virtual reality (VR) technology on the design process, particularly in engineering and design fields. VR, defined as a computer-generated simulation, has already found applications in various professional domains such as engineering, training, marketing, and ergonomics. However, its potential influence on the design process remains to be explored. The aim of this investigation is to assess the impacts of VR on professionals, users, technology, and the design profession as a whole. The chapter proposes a set of general guidelines for incorporating VR in the design process and emphasizes the need for human-centered approaches to enhance the acceptability and acceptance of VR. While VR offers tangible advantages and benefits, it also presents limitations and challenges that must be addressed for it to be established as a strategic design tool. The chapter concludes by suggesting the development of a taxonomy for evaluating and utilizing VR and emphasizes the importance of considering human-centered approaches and integrating artificial intelligence tools to enhance design activities further. VR has the potential to foster divergent and convergent thinking, facilitate co-creative activities, improve prototyping and concept evaluation, and enhance immersive product presentations, thereby transforming the roles of designers and the design profession as a whole. Y1 - 2024 SN - 978-1-032-30651-3 SN - 978-1-032-30652-0 SN - 978-1-003-30607-8 U6 - https://doi.org/10.1201/9781003306078-2 SP - 3 EP - 25 PB - CRC Press CY - BOCA RATON ET - 1. edition ER - TY - CHAP A1 - Stadler, Sebastian A1 - Braun, Carmen A1 - Frenkler, Fritz ED - Dieck, M. Claudia tom ED - Jung, Timothy ED - Kim, Yen-Soon T1 - The Usage of Mixed Reality for Presentations: A Comparative Evaluation T2 - XR and Metaverse : Proceedings of the 8th International XR-Metaverse Conference 2023, Las Vegas, USA Y1 - 2024 SN - 978-3-031-50558-4 U6 - https://doi.org/10.1007/978-3-031-50559-1_6 SP - 77 EP - 86 PB - Springer Nature ER - TY - INPR A1 - Thelen, Simon A1 - Safi, Hila A1 - Mauerer, Wolfgang T1 - Approximating under the Influence of Quantum Noise and Compute Power T2 - Proceedings of WIHPQC@IEEE QCE N2 - The quantum approximate optimisation algorithm (QAOA) is at the core of many scenarios that aim to combine the power of quantum computers and classical high-performance computing appliances for combinatorial optimisation. Several obstacles challenge concrete benefits now and in the foreseeable future: Imperfections quickly degrade algorithmic performance below practical utility; overheads arising from alternating between classical and quantum primitives can counter any advantage; and the choice of parameters or algorithmic variant can substantially influence runtime and result quality. Selecting the optimal combination is a non-trivial issue, as it not only depends on user requirements, but also on details of the hardware and software stack. Appropriate automation can lift the burden of choosing optimal combinations for end-users: They should not be required to understand technicalities like differences between QAOA variants, required number of QAOA layers, or necessary measurement samples. Yet, they should receive best-possible satisfaction of their non-functional requirements, be it performance or other. We determine factors that affect solution quality and temporal behaviour of four QAOA variants using comprehensive density-matrix-based simulations targeting three widely studied optimisation problems. Our simulations consider ideal quantum computation, and a continuum of scenarios troubled by realistic imperfections. Our quantitative results, accompanied by a comprehensive reproduction package, show strong differences between QAOA variants that can be pinpointed to narrow and specific effects. We identify influential co-variables and relevant non-functional quality goals that, we argue, mark the relevant ingredients for designing appropriate software engineering abstraction mechanisms and automated tool-chains for devising quantum solutions from high-level problem specifications. Y1 - 2024 ER - TY - INPR A1 - Periyasamy, Maniraman A1 - Plinge, Axel A1 - Mutschler, Christopher A1 - Scherer, Daniel D. A1 - Mauerer, Wolfgang T1 - Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule N2 - The study of variational quantum algorithms (VQCs) has received significant attention from the quantum computing community in recent years. These hybrid algorithms, utilizing both classical and quantum components, are well-suited for noisy intermediate-scale quantum devices. Though estimating exact gradients using the parameter-shift rule to optimize the VQCs is realizable in NISQ devices, they do not scale well for larger problem sizes. The computational complexity, in terms of the number of circuit evaluations required for gradient estimation by the parameter-shift rule, scales linearly with the number of parameters in VQCs. On the other hand, techniques that approximate the gradients of the VQCs, such as the simultaneous perturbation stochastic approximation (SPSA), do not scale with the number of parameters but struggle with instability and often attain suboptimal solutions. In this work, we introduce a novel gradient estimation approach called Guided-SPSA, which meaningfully combines the parameter-shift rule and SPSA-based gradient approximation. The Guided-SPSA results in a 15% to 25% reduction in the number of circuit evaluations required during training for a similar or better optimality of the solution found compared to the parameter-shift rule. The Guided-SPSA outperforms standard SPSA in all scenarios and outperforms the parameter-shift rule in scenarios such as suboptimal initialization of the parameters. We demonstrate numerically the performance of Guided-SPSA on different paradigms of quantum machine learning, such as regression, classification, and reinforcement learning. Y1 - 2024 ER - TY - CHAP A1 - Hassmann, Tobias A1 - Westner, Markus ED - Marcinkowski, Bartosz ED - Przybyłek, Adam ED - Jarzębowicz, Aleksander ED - Iivari, Netta ED - Insfran, Emilio ED - Lang, Michael ED - Linger, Henry ED - Schneider, Christoph T1 - Enhancing Expert Interviews: Insights from Information Systems and Digital Transformation Research T2 - 32nd International conference on information systems development (ISD 2024), August 26-28, 2024, Gdańsk, Poland T2 - Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era N2 - Expert interviews, a commonly employed qualitative data collection procedure in information systems (IS) research, lack consistent conceptualization. This paper aims to address this gap by providing a conceptual framework and comprehensive guidelines for a rigorous implementation of expert interviews, supported by real-world examples. After a systematic selection of method-relevant literature, a thematic analysis of twenty-eight articles, books, and book chapters is conducted to elicit the distinctive characteristics and rigorous conduct of expert interviews. Validation is provided by analyzing nineteen studies published in important IS outlets that use expert interviews. A particular focus is on a subset of five studies that cover digital transformation topics. The analysis reveals expert interviews’ flexibility as data collection procedure and shows the wide range of application opportunities for IS researchers. Lastly, we discuss theoretical and practical implications of our findings to enhance the rigor, systematic use, and relevance of expert interviews in IS research. KW - digital transformation KW - expert interviews KW - qualitative IS research KW - research methodology Y1 - 2024 SN - 978-83-972632-0-8 U6 - https://doi.org/10.62036/ISD.2024.48 PB - AIS eLibrary ER - TY - CHAP A1 - Abo Khamis, Mahmoud A1 - Kara, Ahmet A1 - Olteanu, Dan A1 - Suciu, Dan T1 - Insert-Only versus Insert-Delete in Dynamic Query Evaluation T2 - Proceedings of the ACM on Management of Data N2 - We study the dynamic query evaluation problem: Given a full conjunctive query 𝑄 and a sequence of updates to the input database, we construct a data structure that supports constant-delay enumeration of the tuples in the query output after each update.We show that a sequence of 𝑁 insert-only updates to an initially empty database can be executed in total time O(𝑁 w(𝑄 ) ), where w(𝑄) is the fractional hypertree width of 𝑄. This matches the complexity of the static query evaluation problem for 𝑄 and a database of size 𝑁 . One corollary is that the amortized time per single-tuple insert is constant for 𝛼-acyclic full conjunctive queries. In contrast, we show that a sequence of 𝑁 inserts and deletes can be executed in total time eO(𝑁 w( b𝑄 ) ), where b𝑄 is obtained from 𝑄 by extending every relational atom with extra variables that represent the “lifespans” of tuples in the database. We show that this reduction is optimal in the sense that the static evaluation runtime of b𝑄 provides a lower bound on the total update time for the output of 𝑄. Our approach achieves amortized optimal update times for the hierarchical and Loomis-Whitney join queries. Y1 - 2024 U6 - https://doi.org/10.1145/3695837 VL - 2 IS - 5 SP - 1 EP - 26 PB - ACM ER - TY - JOUR A1 - Schiering, Nadine A1 - Eichstädt, Sascha A1 - Heizmann, Michael A1 - Koch, Wolfgang A1 - Schneider, Linda-Sophie A1 - Scheele, Stephan A1 - Sommer, Klaus-Dieter T1 - Modelling of measuring systems – From white box models to cognitive approaches JF - Measurement: Sensors N2 - Mathematical models of measuring systems and processes play an essential role in metrology and practical measurements. They form the basis for understanding and evaluating measurements, their results and their trustworthiness. Classic analytical parametric modelling is based on largely complete knowledge of measurement technology and the measurement process. But due to digital transformation towards the Internet of Things (IIoT) with an increasing number of intensively and flexibly networked measurement systems and consequently ever larger amounts of data to be processed, data-based modelling approaches have gained enormous importance. This has led to new approaches in measurement technology and industry like Digital Twins, Self-X Approaches, Soft Sensor Technology and Data and Information Fusion. In the future, data-based modelling will be increasingly dominated by intelligent, cognitive systems. Evaluating of the accuracy, trustworthiness and the functional uncertainty of the corresponding models is required. This paper provides a concise overview of modelling in metrology from classical white box models to intelligent, cognitive data-driven solutions identifying advantages and limitations. Additionally, the approaches to merge trustworthiness and metrological uncertainty will be discussed. Y1 - 2024 U6 - https://doi.org/10.1016/j.measen.2024.101503 SN - 2665-9174 PB - Elsevier BV ER - TY - CHAP A1 - Amling, Jonas A1 - Scheele, Stephan A1 - Slany, Emanuel A1 - Lang, Moritz A1 - Schmid, Ute T1 - Explainable AI for Mixed Data Clustering T2 - Explainable AI for Mixed Data Clustering:Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part II N2 - Clustering, an unsupervised machine learning approach, aims to find groups of similar instances. Mixed data clustering is of particular interest since real-life data often consists of diverse data types. The unsupervised nature of clustering emphasizes the need to understand the criteria for defining and distinguishing clusters. Current explainable AI (XAI) methods for clustering focus on intrinsically explainable clustering techniques, surrogate model-based explanations utilizing established XAI frameworks, and explanations generated from inter-instance distances. However, there exists a research gap in developing post-hoc methods that directly explain clusterings without resorting to surrogate models or requiring prior knowledge about the clustering algorithm. Addressing this gap, our work introduces a model-agnostic, entropy-based Feature Importance Score for continuous and discrete data, offering direct and comprehensible explanations by highlighting key features, deriving rules, and identifying cluster prototypes. The comparison with existing XAI frameworks like SHAP and ClAMP shows that we achieve similar fidelity and simplicity, proving that mixed data clusterings can be effectively explained solely from the distributions of the features and assigned clusters, making complex clusterings comprehensible to humans. Y1 - 2024 SN - 9783031637964 U6 - https://doi.org/10.1007/978-3-031-63797-1_3 SN - 1865-0929 SP - 42 EP - 62 PB - Springer Nature Switzerland CY - Cham ER - TY - CHAP A1 - Wissing, Julio A1 - Scholz, Teresa A1 - Saloman, Stefan A1 - Fargueta, Lidia A1 - Junger, Stephan A1 - Stefani, Alessio A1 - Tschekalinskij, Wladimir A1 - Scheele, Stephan A1 - Schmid, Ute T1 - SPECTRE: A Dataset for Spectral Reconstruction on Chip-Size Spectrometers with a Physics-Informed Augmentation Method T2 - 2024 IEEE SENSORS, 20-23 October 2024, Kobe, Japan N2 - Reconstructing usable spectra from an array of optical filters has been central to miniature spectrometers for many years. However, as optical sensors become more suitable for low-cost applications by exploiting sub-par filter characteristics, creating high-quality reconstructions has become increasingly challenging. There has been growing interest in data-driven reconstruction methods within the scientific community to address this issue. The main obstacle to progress in this area is the lack of publicly available and comprehensive datasets for spectral reconstruction. In our research, we propose a physics-informed data augmentation technique to significantly increase the size of datasets for spectral reconstruction and make our augmented dataset, containing 10117 samples, publicly available. Furthermore, we demonstrate the potential performance improvements achieved by training complex neural networks for spectral reconstruction using the augmented dataset. Our short benchmark indicates a performance increase of up to four times over the baseline. Y1 - 2024 U6 - https://doi.org/10.1109/SENSORS60989.2024.10784898 SP - 1 EP - 4 PB - IEEE ER - TY - CHAP A1 - Gogeißl, Martin A1 - Safi, Hila A1 - Mauerer, Wolfgang T1 - Quantum Data Encoding Patterns and their Consequences T2 - Q-Data '24: Proceedings of the 1st Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, June 9 - 15, 2024, Santiago AA Chile N2 - The use of quantum processing units (QPUs) promises speed-ups for solving computational problems, in particular for discrete optimisation. While a few groundbreaking algorithmic approaches are known that can provably outperform classical computers, we observe a scarcity of programming abstractions for constructing efficient quantum algorithms. A good fraction of the literature that addresses solving concrete problems related to database management concentrates on casting them as quadratic unconstrained binary optimisation problems (QUBOs), which can then, among others, be processed on gate-based machines (using the quantum approximate optimisation algorithm), or quantum annealers. A critical aspect that affects efficiency and scalability of either of these approaches is how classical data are loaded into qubits, respectively how problems are encoded into QUBO representation. The effectiveness of encodings is known to be of crucial importance for quantum computers, especially since the amount of available qubits is strongly limited in the era of noisy, intermediate-size quantum computers. In this paper, we present three encoding patterns, discuss their impact on scalability, and their ease of use. We consider the recreational (yet computationally challenging) Sudoku problem and its reduction to graph colouring as an illustrative example to discuss their individual benefits and disadvantages. Our aim is enable database researchers to choose an appropriate encoding scheme for their purpose without having to acquire in-depth knowledge on quantum peculiarities, thus easing the path towards applying quantum acceleration on data management systems. Y1 - 2024 SN - 979-8-4007-0553-3 U6 - https://doi.org/10.1145/3665225.3665446 SP - 27 EP - 37 PB - ACM ER - TY - INPR A1 - Jung, Matthias A1 - Krumke, Sven O. A1 - Schroth, Christof A1 - Lobe, Elisabeth A1 - Mauerer, Wolfgang T1 - QCEDA: Using Quantum Computers for EDA N2 - The field of Electronic Design Automation (EDA) is crucial for microelectronics, but the increasing complexity of Integrated Circuits (ICs) poses challenges for conventional EDA: Corresponding problems are often NP-hard and are therefore in general solved by heuristics, not guaranteeing optimal solutions. Quantum computers may offer better solutions due to their potential for optimization through entanglement, superposition, and interference. Most of the works in the area of EDA and quantum computers focus on how to use EDA for building quantum circuits. However, almost no research focuses on exploiting quantum computers for solving EDA problems. Therefore, this paper investigates the feasibility and potential of quantum computing for a typical EDA optimization problem broken down to the Min-k-Union problem. The problem is mathematically transformed into a Quadratic Unconstrained Binary Optimization (QUBO) problem, which was successfully solved on an IBM quantum computer and a D-Wave quantum annealer. Y1 - 2024 ER - TY - CHAP A1 - Mauerer, Wolfgang ED - Exman, Iaakov ED - Perez-Castillo, Ricardo ED - Piattini, Mario ED - Felderer, Michael T1 - Superoperators for Quantum Software Engineering T2 - Quantum Software: Aspects of Theory and System Design N2 - As implementations of quantum computers grow in size and maturity, the question of how to program this new class of machines is attracting increasing attention in the software engineering domain. Yet, many questions from how to design expressible quantum languages augmented with formal semantics via implementing appropriate optimizing compilers to abstracting details of machine properties in software systems remain challenging. Performing research at this intersection of quantum computing and software engineering requires sufficient knowledge of the physical processes underlying quantum computations, and how to model these. In this chapter, we review a superoperator-based approach to quantum dynamics, as it can provide means that are sufficiently abstract, yet concrete enough to be useful in quantum software and systems engineering, and outline how it is used in several important applications in the field. KW - quantum computing KW - quantum software engineering KW - software development KW - software engineering Y1 - 2024 U6 - https://doi.org/10.1007/978-3-031-64136-7_3 SN - 978-3-031-64136-7 PB - Springer Nature ER - TY - CHAP A1 - Falter, Sandro A1 - Brunkh, Gerald A1 - Wess, Max A1 - Fischer, Sebastian T1 - Automated Vulnerability Scanner for the Cyber Resilience Act T2 - CLOUD COMPUTING 2024 : The Fifteenth International Conference on Cloud Computing, GRIDs, and Virtualization, 15, 2024, Venice N2 - This paper explores the mitigation of the compliance burdens faced by manufacturers of digital products under the Cyber Resilience Act. After providing a concise overview of the Cyber Resilience Act and pinpointing pivotal areas where tool-based interventions could reduce the regulatory strain on manufacturers, we introduce two prototypes: a digital checklist for product classification and a prototype to streamline the analysis and monitoring of the security state of software along the software development life cycle. As the second prototype is based on Static Application Software Testing and Software Component Analysis, we validate the approach through benchmark tests. While Static Application Software Testing tools show promise in identifying vulnerabilities, additional tests are needed for full compliance with the Cyber Resilience Act. In general, the prototypes serve as an entry point for identifying possible automation potential to alleviate the compliance burdens of manufacturers. KW - cra KW - cyber resilience act KW - vulnerability scanner KW - reporting KW - iot KW - cloud Y1 - 2024 UR - https://www.thinkmind.org/library/CLOUD_COMPUTING/CLOUD_COMPUTING_2024/cloud_computing_2024_1_40_28004.html SN - 978-1-68558-156-5 SP - 13 EP - 18 PB - IARIA ER - TY - CHAP A1 - Buchmann, Thomas A1 - Peinl, René A1 - Schwägerl, Felix T1 - White-box LLM-supported Low-code Engineering: A Vision and First Insights T2 - Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems N2 - Low-code development (LCD) platforms promise to empower citizen developers to define core domain models and rules for business applications. However, as domain rules grow complex, LCD platforms may fail to do so effectively. Generative AI, driven by large language models (LLMs), offers source code generation from natural language but suffers from its non-deterministic black-box nature and limited explainability. Therefore, rather than having LLMs generate entire applications from single prompts, we advocate for a white-box approach allowing citizen developers to specify domain models semi-formally, attaching constraints and operations as natural language annotations. These annotations are fed incrementally into an LLM contextualized with the generated application stub. This results in deterministic and better explainable generation of static application components, while offering citizen developers an appropriate level of abstraction. We report on a case study in manufacturing execution systems, where the implementation of the approach provides first insights. KW - Model-driven engineering KW - large language models KW - low-code KW - semiformal KW - artificial intelligence Y1 - 2024 U6 - https://doi.org/10.1145/3652620.368780 SP - 556 EP - 560 PB - ACM CY - New York, NY, USA ER - TY - INPR A1 - Pagel, Johannes A1 - Vogl, Stefanie A1 - Israel, Laura T1 - Analyzing the Impact of Redaction on Document Classification Performance of Deep CNN Models N2 - Many companies are facing growing data archives leading to an increasing focus on the automated classification of documents in corporate processes. Due to data protection guidelines, development with clear data is often difficult. One way to overcome this difficulty is to desensitize documents using document redaction. The following study, therefore, examines the impact of redaction on the document classification performance of a deep CNN model by analyzing how the classifica- tion performance deteriorates when the model is trained on unredacted documents and evaluated on redacted data (unredacted model) or trained on redacted data and applied to unredacted documents (redacted model). For the former condition, a loss in accuracy of 2.56%P was found and a loss of 2.08%P for the latter. We were also able to show that the loss in performance differed greatly between document classes and was influenced by their proportion of redacted area (unredacted model: r=0.31; redacted model: r=0.87). For the model trained with redacted and evaluated on unredacted data, we also determined that the decrease in classification accu- racy was affected by the intra-class variability of the redacted area (r=0.74). From these results, recommendations for dealing with redacted data in document classification systems are derived. Y1 - 2024 U6 - https://doi.org/10.31219/osf.io/sntb3 PB - OSFPreprints ER -