@article{LippertRudolphPoltermannetal.2024, author = {Lippert, Carolyn and Rudolph, Eric and Poltermann, Aleksandra and Engert, Natalie and Lehmann, Robert and Albrecht, Jens}, title = {Generative KI in der beraterischen Ausbildung}, series = {e-beratungsjournal.net - Zeitschrift f{\"u}r Online-Beratung und computervermittelte Kommunikation}, volume = {20}, journal = {e-beratungsjournal.net - Zeitschrift f{\"u}r Online-Beratung und computervermittelte Kommunikation}, number = {1}, issn = {1816-7632}, doi = {10.48341/tcgc-st69}, pages = {41 - 60}, year = {2024}, abstract = {Der Beitrag beleuchtet das Projekt "Virtuelle*r Klient*in (ViKl)" am Institut f{\"u}r E-Beratung der Technischen Hochschule N{\"u}rnberg Georg Simon Ohm, das sich mit der Nutzung eines KI-basierten Chatbots f{\"u}r die Simulation von Klient*innen in der Lehrveranstaltung "Querschnitt Onlineberatung" im Bachelor-Studiengang Soziale Arbeit befasst. Ziel ist es, praxisnahe Erfahrungen zu vermitteln und die F{\"a}higkeiten der Studierenden im digitalen Beratungsgespr{\"a}ch zu verbessern. Durch den Einsatz verschiedener maschineller Lernarchitekturen werden passende Antworten generiert, die zum Gespr{\"a}chsverlauf und zur psychosozialen Problemstellung passen. Die Nutzung einer umfangreichen Datenbasis aus dem Zertifikatskurs "Onlineberatung" sowie ein zielgruppenad{\"a}quates didaktisches Konzept tragen zur Qualit{\"a}t des*der ViKl bei. Die Diskussion umfasst auch zuk{\"u}nftige Entwicklungen in der Onlineberatung, die didaktische Gestaltung von KI-basierten Lehr-Lern-Formaten, sowie Herausforderungen und Vorteile dieser Ans{\"a}tze.}, subject = {Generative KI}, language = {de} } @incollection{SteigerwaldAlbrecht2025, author = {Steigerwald, Philipp and Albrecht, Jens}, title = {Enhancing Psychosocial Counselling with AI: A Multifaceted Support System for Professionals}, series = {Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications}, booktitle = {Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications}, publisher = {Springer Nature}, address = {Singapore}, isbn = {9789819679447}, issn = {2731-8125}, doi = {10.1007/978-981-96-7945-4_35}, pages = {597 -- 611}, year = {2025}, abstract = {The expanding field of psychosocial online email counselling has created a demand for advanced tools to support counsellors in managing diverse client interactions. This paper introduces CAIA (Counsellor Artificial Intelligence Assistant), a comprehensive AI-driven system currently under active development, designed to condense and present information to counsellors in a structured manner. CAIA integrates several AI-based features, including Automatic Subject Generation, Case Summarisation, Timeline Management, Social Network Graph creation, and Case Classification. The features are designed to assist the counsellors, allowing them to engage more deeply with each case while ensuring that the client's needs remain paramount. Each feature presented in the paper addresses a specific problem in psychosocial online counselling, proposes a solution, discusses a technical implementation approach, and highlights the challenges encountered. Additionally, the paper discusses ethical considerations associated with an AI integration.}, language = {en} } @inproceedings{SteigerwaldAlbrecht2025, author = {Steigerwald, Philipp and Albrecht, Jens}, title = {Comparing Large Language Models for Automated Subject Line Generation in e-Mental Health: A Performance Study}, series = {Proceedings of the 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health}, volume = {2025}, booktitle = {Proceedings of the 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health}, publisher = {SCITEPRESS - Science and Technology Publications}, doi = {10.5220/0013294100003938}, pages = {70 -- 77}, year = {2025}, abstract = {Large Language Models (LLMs) have the potential to enhance e-mental health and psychosocial e-mail counselling by automating tasks such as generating concise and relevant subject lines for client communications. However, concerns regarding accuracy, reliability, data privacy and resource efficiency persist. This study investigates the performance of several LLMs in generating subject lines for e-mail threads, yielding a total of 253 generated subjects. Each subject line was assessed by six raters, including five counselling professionals and one AI system, using a three-category quality scale (Good, Fair, Poor). The results show that LLMs can generally produce concise subject lines considered helpful by experts. While GPT-4o and GPT-3.5 Turbo outperformed other models, their use is restricted in mental health settings due to data protection concerns, making the evaluation of open-source models crucial. Among open-source models, SauerkrautLM LLama 3 70b (4-bit) and SauerkrautLM Mixtral 8x7b (both 8-bit and 4-bit versions) delivered promising results with potential for further development. In contrast, models with lower parameter counts produced predominantly poor outputs.}, language = {en} } @inproceedings{SteigerwaldBienleinBurghardtetal.2025, author = {Steigerwald, Philipp and Bienlein, Nico and Burghardt, Jennifer and Stieler, Mara and Lehmann, Robert and Albrecht, Jens}, title = {CAIA in Practice: Field Evaluation of an AI-Assisted Support System for Text-Based Online Counselling}, series = {2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)}, booktitle = {2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)}, publisher = {IEEE}, doi = {10.1109/ICTAI66417.2025.00214}, pages = {1476 -- 1483}, year = {2025}, abstract = {Rising global demand for mental health support creates significant service delivery challenges, with asynchronous email counselling serving as a crucial low-threshold channel for accessing care. This paper presents CAIA, a co-designed AIbased tool suite that demonstrates responsible AI integration into counselling practice through seven LLM-driven functions enhanced by retrieval-augmented generation. A field evaluation involved 34 professional counsellors conducting authentic sessions with trained student counsellees (36 threads, 321 messages, 1,257 AI outputs). User behaviour analysis confirms substantial adoption, revealing that professional autonomy and information accuracy are decisive for sustained acceptance, with counsellors particularly valuing interpretive functionalities that provide new perspectives and stimulate professional reflection.}, language = {en} } @inproceedings{BurghardtStielerSteigerwaldetal.2026, author = {Burghardt, Jennifer and Stieler, Mara and Steigerwald, Philipp and Albrecht, Jens and Lehmann, Robert}, title = {KI-Assistenz in der psychosozialen Onlineberatung - Erkenntnisse zur Akzeptanz bei Fachkr{\"a}ften}, year = {2026}, subject = {Soziale Arbeit}, language = {de} } @inproceedings{BurghardtStielerSteigerwaldetal.2025, author = {Burghardt, Jennifer and Stieler, Mara and Steigerwald, Philipp and Rudolph, Eric and Albrecht, Jens and Lehmann, Robert}, title = {KI-gest{\"u}tzte Beratung - Assistenzsysteme f{\"u}r Ratsuchende und Fachkr{\"a}fte in der digitalen Beratung}, series = {Deutscher Suchtkongress (DSK)}, volume = {2}, booktitle = {Deutscher Suchtkongress (DSK)}, number = {1}, doi = {10.18416/DSK.2025.2259}, year = {2025}, language = {de} }