TY - JOUR A1 - Lippert, Carolyn A1 - Rudolph, Eric A1 - Poltermann, Aleksandra A1 - Engert, Natalie A1 - Lehmann, Robert A1 - Albrecht, Jens T1 - Generative KI in der beraterischen Ausbildung BT - Der Einsatz eines*r virtuellen Klient*in als Übungstool für angehende Onlineberater*innen JF - e-beratungsjournal.net – Zeitschrift für Online-Beratung und computervermittelte Kommunikation N2 - Der Beitrag beleuchtet das Projekt "Virtuelle*r Klient*in (ViKl)" am Institut für E-Beratung der Technischen Hochschule Nürnberg Georg Simon Ohm, das sich mit der Nutzung eines KI-basierten Chatbots für 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 Fähigkeiten der Studierenden im digitalen Beratungsgespräch zu verbessern. Durch den Einsatz verschiedener maschineller Lernarchitekturen werden passende Antworten generiert, die zum Gesprächsverlauf und zur psychosozialen Problemstellung passen. Die Nutzung einer umfangreichen Datenbasis aus dem Zertifikatskurs "Onlineberatung" sowie ein zielgruppenadäquates didaktisches Konzept tragen zur Qualität des*der ViKl bei. Die Diskussion umfasst auch zukünftige Entwicklungen in der Onlineberatung, die didaktische Gestaltung von KI-basierten Lehr-Lern-Formaten, sowie Herausforderungen und Vorteile dieser Ansätze. KW - Generative KI KW - Hochschule KW - Lehre KW - Computerunterstützte Kommunikation KW - Psychosoziale Beratung KW - Onlinekommunikation KW - digitale Kommunikation KW - Generative KI KW - Onlineberatung KW - Chatberatung Y1 - 2024 U6 - https://doi.org/10.48341/tcgc-st69 SN - 1816-7632 VL - 20 IS - 1 ER - TY - CHAP A1 - Steigerwald, Philipp A1 - Albrecht, Jens T1 - Enhancing Psychosocial Counselling with AI: A Multifaceted Support System for Professionals T2 - Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications N2 - 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. Y1 - 2025 SN - 9789819679447 U6 - https://doi.org/10.1007/978-981-96-7945-4_35 SN - 2731-8125 SP - 597 EP - 611 PB - Springer Nature CY - Singapore ER - TY - CHAP A1 - Steigerwald, Philipp A1 - Albrecht, Jens T1 - Comparing Large Language Models for Automated Subject Line Generation in e-Mental Health: A Performance Study T2 - Proceedings of the 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health N2 - 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. Y1 - 2025 U6 - https://doi.org/10.5220/0013294100003938 VL - 2025 SP - 70 EP - 77 PB - SCITEPRESS - Science and Technology Publications ER - TY - CHAP A1 - Steigerwald, Philipp A1 - Bienlein, Nico A1 - Burghardt, Jennifer A1 - Stieler, Mara A1 - Lehmann, Robert A1 - Albrecht, Jens T1 - CAIA in Practice: Field Evaluation of an AI-Assisted Support System for Text-Based Online Counselling T2 - 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI) N2 - 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. KW - AI-Assisted Counselling KW - Email Counselling KW - Large Language Models KW - Retrieval-Augmented Generation KW - User KW - Adoption Study KW - Human-AI Collaboration Y1 - 2025 U6 - https://doi.org/10.1109/ICTAI66417.2025.00214 SP - 1476 EP - 1483 PB - IEEE ER - TY - CHAP A1 - Burghardt, Jennifer A1 - Stieler, Mara A1 - Steigerwald, Philipp A1 - Albrecht, Jens A1 - Lehmann, Robert T1 - KI-Assistenz in der psychosozialen Onlineberatung – Erkenntnisse zur Akzeptanz bei Fachkräften KW - Soziale Arbeit Y1 - 2026 UR - https://www.eventclass.it/dgpm2026/scientific/online-program/session?s=Symposium+56#e479 ER - TY - CHAP A1 - Burghardt, Jennifer A1 - Stieler, Mara A1 - Steigerwald, Philipp A1 - Rudolph, Eric A1 - Albrecht, Jens A1 - Lehmann, Robert T1 - KI-gestützte Beratung – Assistenzsysteme für Ratsuchende und Fachkräfte in der digitalen Beratung T2 - Deutscher Suchtkongress (DSK) Y1 - 2025 U6 - https://doi.org/10.18416/DSK.2025.2259 VL - 2 IS - 1 ER -