@inproceedings{WoltersKindsmuellerHeineckeetal.2019, author = {Wolters, Christian and Kindsm{\"u}ller, Martin Christof and Heinecke, Andreas M. and Rakow, Thomas C. and Dahm, Markus and Jent, Sophie and Rumpler, Martin}, title = {Medieninformatik 2019: Kompetenzorientierte Lehr-Lernszenarien in der Medieninformatik}, series = {Mensch und Computer 2019 - Workshopband. Bonn: Gesellschaft f{\"u}r Informatik e.V.}, booktitle = {Mensch und Computer 2019 - Workshopband. Bonn: Gesellschaft f{\"u}r Informatik e.V.}, publisher = {Deutsche Gesellschaft f{\"u}r Informatik e.V.}, doi = {10.18420/muc2019-ws-305}, pages = {512 -- 517}, year = {2019}, abstract = {Die Fachgruppe Medieninformatik (FG MI) im Fachbereich Mensch-Computer-Interaktion (FB MCI) der Gesellschaft f{\"u}r Informatik (GI) setzt im Workshop Medieninformatik 2019 die Arbeit an der Curriculums-Empfehlung f{\"u}r Medieninformatik (MI)-Studieng{\"a}nge fort. Die Identifikation grundlegender medieninformatik-spezifischer Kompetenzen steht zurzeit im Fokus der Arbeit des AK Curriculum der FG MI. Das besondere fachliche Spektrum in der Medieninformatik und Spezialisierungen einzelner MI- sowie MI-verwandter Studieng{\"a}nge stellt den Arbeitskreis immer wieder vor die Herausforderung zwischen grundlegenden Kompetenzen, die jede*r Medi-eninformatiker*in erwerben soll und fachlichen Vertiefungen zu differenzieren. Um die bisherige Curriculumsarbeit mit der Praxis in den Studieng{\"a}ngen abzugleichen bietet der Workshop der Fachcommunity ein Forum, um sowohl die bisher aufgestellten Kompetenzen zu diskutieren, gegebenenfalls zu erg{\"a}nzen, als auch MI-spezifische Lehr- und Lernformate vorzustellen, die die Erlangung dieser MI-Kompetenzen f{\"o}rdern. Der vorliegende Beitrag stellt den aktuellen Diskussionsstand dar.}, language = {de} } @inproceedings{WeilerStruzekMuelleretal.2024, author = {Weiler, Tim and Struzek, David and M{\"u}ller, Claudia and Huldtgren, Alina and Klapperich, Holger and Grosskopp, Sabrina and Fischer, Florian and Osterheider, Angela and Gaertner, Wanda}, title = {2nd International Workshop on Co-Creation of Hybrid Interactive Systems for Healthcare: Integrating Interdisciplinary and Interprofessional Perspectives in Healthcare Innovation}, series = {Mensch und Computer 2024 - Workshopband}, booktitle = {Mensch und Computer 2024 - Workshopband}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, doi = {10.18420/muc2024-mci-ws03-120}, pages = {5}, year = {2024}, abstract = {Recent advancements in data science and AI-driven healthcare technologies are bringing up novel opportunities for innovations, such as personalized medicine, self diagnostic tools for everyday use, or hybrid healthcare models. However, the development of these technologies often overlooks the perspectives of patients and their families and socio-cultural surroundings, posing significant social, technological, and ethical challenges related to data bias, empowerment or surveillance, respectively. Bringing together interdisciplinary, interprofessional, and intersectoral collaboration in a systematic way seems to be a crucial element for adressing these issues and ensuring the meaningful integration of sensitive data and AI technologies into patient-centred healthcare arrangements. In this workshop, researchers and practitioners from diverse related disciplines, including HCI, AI, social and cultural sciences, healthcare, gerontology, etc., are invited to share their case studies on innovative health technologies and medical AI. Drawing from contextual best practices, as well as challenges and failures, the workshop organizers aim to collectively devise a systematic approach for co-designing and implementing telemedical innovations in real-world healthcare settings.}, subject = {K{\"u}nstliche Intelligenz}, language = {en} } @inproceedings{vonLauerMuenchhofenvonBergSteffens2025, author = {von Lauer-M{\"u}nchhofen, Jakob and von Berg, Markus and Steffens, Jochen}, title = {Applicability of Common Room Acoustic Parameters for Music Recording Spaces in Recording Studios}, series = {Proceedings of DAS|DAGA 2025: 51st Annual Meeting on Acoustics March 17-20, 2025, Copenhagen}, booktitle = {Proceedings of DAS|DAGA 2025: 51st Annual Meeting on Acoustics March 17-20, 2025, Copenhagen}, editor = {Dau, Torsten and Epp, Bastian}, publisher = {Deutsche Gesellschaft f{\"u}r Akustik e.V.}, address = {Berlin}, isbn = {978-3-939296-23-2}, pages = {1224 -- 1227}, year = {2025}, subject = {Raumakustik}, language = {de} } @inproceedings{VersuemerBlaettermannSteffens2025, author = {Vers{\"u}mer, Siegbert and Bl{\"a}ttermann, Patrick and Steffens, Jochen}, title = {Nonlinearities in generalized models based on different soundscape datasets [Abstract]}, series = {DAS|DAGA 2025: 51st Annual Meeting on Acoustics, March 17-20, 2025, Copenhagen}, booktitle = {DAS|DAGA 2025: 51st Annual Meeting on Acoustics, March 17-20, 2025, Copenhagen}, publisher = {Deutsche Gesellschaft f{\"u}r Akustik e.V.}, address = {Berlin}, year = {2025}, subject = {Soundscape}, language = {en} } @phdthesis{Versuemer2025, author = {Vers{\"u}mer, Siegbert}, title = {Generalized prediction of quiet indoor soundscapes based on retrospective and in-situ judgements}, publisher = {Berlin}, address = {Technische Universit{\"a}t Berlin}, doi = {10.14279/depositonce-23962}, pages = {199}, year = {2025}, abstract = {This dissertation aims to enhance the understanding of how people perceive and react to everyday sounds, particularly in their homes. The focus is laid on indoor soundscapes and the interplay between acoustic measures, individual differences, and contextual factors. A retrospective online study and a field study at peoples' homes based on the Experience Sampling Method were the ecologically valid ground truth for four key publications. These address significant gaps in soundscape research by providing insights into the factors influencing sound perception in real-life contexts, the evaluation of low-level (i.e., quiet) sounds, and the consequences of (in)appropriate statistical analysis of imbalanced hierarchical soundscape data. The studies reveal that the sound source category is a critical predictor of annoyance and the pleasantness of soundscapes, with different types of sounds (e.g., natural, human, technical) having distinct impacts. Contrary, the effect of acoustic measures like perceived and calculated loudness on sound perception was expected to be high but was masked by contextual factors. These were the perceived control over the acoustic situation and the affective state of a person in the specific situation, proving context-related perceptual measures to be more important than the sound itself. The research consequently highlights the need for automatic sound source identification in complex polyphony everyday sound environments and suggests that individual preferences and liking of sounds could be potential factors in predicting individual sound perception. The dissertation also emphasizes the importance of using appropriate statistical methods, including mixed-effects models and nonlinear regression techniques, to generate more generalizable and more valid results based on hierarchical and imbalanced soundscape data. The findings underscore the limitations of traditional acoustic metrics and advocate for the use of time-series data to better capture the dynamic nature of everyday sound environments in contrast to stimuli typically used in laboratory studies. The author further developed a multi-objective function for avoiding both over- and underfitting during hyperparameter tuning, significantly improving generalized model fitting in soundscape research. Overall, this work contributes to the field of soundscape research by providing a comprehensive analysis of sound perception in indoor environments, highlighting the importance of context, individual differences, and advanced statistical methods in understanding and modeling soundscapes. Finally, future perspectives were discussed, such as the focus on individual preferences, experiences, and expectations for the improved prediction of individual sound perception.}, subject = {Psychoakustik}, language = {en} } @techreport{TuncerRumplerHeineckeetal.2024, author = {Tuncer, Zeynep and Rumpler, Martin and Heinecke, Andreas and Rakow, Thomas C. and Jent, Sophie and Kindsm{\"u}ller, Martin Christof}, title = {Empfehlung zum Curriculum f{\"u}r Bachelorstudieng{\"a}nge Medieninformatik}, volume = {Empfehlungen der Gesellschaft f{\"u}r Informatik e.V., Bd. 65}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, doi = {10.18420/rec2024_065}, pages = {38}, year = {2024}, subject = {Informatikstudium}, language = {de} } @inproceedings{SteffensJoschkoGiangetal.2025, author = {Steffens, Jochen and Joschko, Marcel and Giang, Hien and Huber, Florian}, title = {Using machine learning to identify acoustic fingerprints of concert halls in classical audio recordings [Abstract]}, series = {DAS|DAGA 2025: 51st Annual Meeting on Acoustics, March 17-20, 2025, Copenhagen}, booktitle = {DAS|DAGA 2025: 51st Annual Meeting on Acoustics, March 17-20, 2025, Copenhagen}, publisher = {Deutsche Gesellschaft f{\"u}r Akustik e.V.}, address = {Berlin}, year = {2025}, subject = {Datenanalyse}, language = {en} } @inproceedings{SerditovaTangSteffens2025, author = {Serditova, Dana and Tang, Kevin and Steffens, Jochen}, title = {Automatic Speech Recognition Biases in Newcastle English: an Error Analysis}, series = {Interspeech 2025, 17 - 21 August in Rotterdam}, booktitle = {Interspeech 2025, 17 - 21 August in Rotterdam}, publisher = {ISCA}, doi = {10.21437/Interspeech.2025-1973}, pages = {3204 -- 3208}, year = {2025}, subject = {Automatische Spracherkennung}, language = {en} } @inproceedings{SalgertRakow2017, author = {Salgert, Bj{\"o}rn and Rakow, Thomas C.}, title = {Modellierung von relationalen Datenbanken mit UML im Round-Trip-Engineering}, series = {Lecture Notes in Informatics (LNI), 17. Fachtagung Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW) der Gesellschaft f{\"u}r Informatik (GI), M{\"a}rz 2017}, volume = {BTW (Workshops) 2017}, booktitle = {Lecture Notes in Informatics (LNI), 17. Fachtagung Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW) der Gesellschaft f{\"u}r Informatik (GI), M{\"a}rz 2017}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, pages = {355 -- 364}, year = {2017}, abstract = {Die Unified Modeling Language (UML) wird mithilfe eines Profils erweitert, um den Entwurf relationaler Datenbanken zu unterst{\"u}tzen. Elemente von UML wie Vererbung k{\"o}nnen zur Datenbankmodellierung genutzt werden, und datenbankspezifische Elemente wie beispielweise Indizes lassen sich in UML modellieren. Es wird eine automatisierte Abbildung vom UML-Klassendiagramm zum Datenbankschema erkl{\"a}rt und das Round-Trip-Engineering zwischen UML und einem Datenbankschema dargestellt. Schließlich wird der Nutzen dieser Modellierungsmethode verdeutlicht.}, language = {de} } @article{RyskeldievCohenHerder2018, author = {Ryskeldiev, Bektur and Cohen, Michael and Herder, Jens}, title = {StreamSpace: Pervasive Mixed Reality Telepresence for Remote Collaboration on Mobile Devices}, series = {Journal of Information Processing}, volume = {26}, journal = {Journal of Information Processing}, publisher = {J-STAGE}, doi = {10.2197/ipsjjip.26.177}, pages = {177 -- 185}, year = {2018}, abstract = {We present a system that exploits mobile rotational tracking and photospherical imagery to allow users to share their environment with remotely connected peers "on the go." We surveyed related interfaces and developed a unique groupware application that shares a mixed reality space with spatially-oriented live video feeds. Users can collaborate through realtime audio, video, and drawings in a virtual space. The developed system was tested in a preliminary user study, which confirmed an increase in spatial and situational awareness among viewers as well as reduction in cognitive workload. Believing that our system provides a novel style of collaboration in mixed reality environments, we discuss future applications and extensions of our prototype.}, subject = {Ubiquitous Computing}, language = {en} }