A high prevalence of mental health disorders among students combined with a lack of sufficient psychological counseling and treatment options makes new approaches to mental health support necessary. One possibility to strengthen the resilience and mental well-being of students in a scalable, low-threshold approach is the use of chatbots. While numerous work exists on chatbot-based cognitive behavioral therapy (CBT), the acceptance and usability of a resource-oriented approach to chatbot-based CBT has thus far not been investigated. Moreover, existing chatbot-based systems use a categorical model for the tracking of emotional states, thereby limiting the complexity of tracked emotions. This paper presents a chatbot-based approach for the tracking of dimensional emotional states and activities in the scope of resource-oriented CBT support for students. The developed concept and system are presented and investigated in a single-arm user study focusing on the usability and acceptance of the system with the primary target group (N=9). Results indicate excellent usability and good acceptance with some room for improvement for future iterations of the system.
Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management - 15th International Conference, DHM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
%0 Conference Paper
%1 22a51fe3f97747e4887b5eef48b78d59
%A Striegl, Julian
%A Fekih, Farah
%A Weber, Gerhard
%A Loitsch, Claudia
%B Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management - 15th International Conference, DHM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
%D 2024
%E Duffy, Vincent G.
%I Springer, Berlin u. a.
%K area_responsibleai Agents, Behavioral Chatbots, Cognitive Conversational FIS_scads Psychotherapy, Resource-oriented Salutogenesis, Therapy
%P 177--188
%R 10.1007/978-3-031-61063-9_12
%T Chatbot-Based Mood and Activity Journaling for Resource-Oriented CBT Support of Students
%X A high prevalence of mental health disorders among students combined with a lack of sufficient psychological counseling and treatment options makes new approaches to mental health support necessary. One possibility to strengthen the resilience and mental well-being of students in a scalable, low-threshold approach is the use of chatbots. While numerous work exists on chatbot-based cognitive behavioral therapy (CBT), the acceptance and usability of a resource-oriented approach to chatbot-based CBT has thus far not been investigated. Moreover, existing chatbot-based systems use a categorical model for the tracking of emotional states, thereby limiting the complexity of tracked emotions. This paper presents a chatbot-based approach for the tracking of dimensional emotional states and activities in the scope of resource-oriented CBT support for students. The developed concept and system are presented and investigated in a single-arm user study focusing on the usability and acceptance of the system with the primary target group (N=9). Results indicate excellent usability and good acceptance with some room for improvement for future iterations of the system.
%@ 978-3-031-61062-2
@inproceedings{22a51fe3f97747e4887b5eef48b78d59,
abstract = {A high prevalence of mental health disorders among students combined with a lack of sufficient psychological counseling and treatment options makes new approaches to mental health support necessary. One possibility to strengthen the resilience and mental well-being of students in a scalable, low-threshold approach is the use of chatbots. While numerous work exists on chatbot-based cognitive behavioral therapy (CBT), the acceptance and usability of a resource-oriented approach to chatbot-based CBT has thus far not been investigated. Moreover, existing chatbot-based systems use a categorical model for the tracking of emotional states, thereby limiting the complexity of tracked emotions. This paper presents a chatbot-based approach for the tracking of dimensional emotional states and activities in the scope of resource-oriented CBT support for students. The developed concept and system are presented and investigated in a single-arm user study focusing on the usability and acceptance of the system with the primary target group (N=9). Results indicate excellent usability and good acceptance with some room for improvement for future iterations of the system.},
added-at = {2024-11-28T16:27:18.000+0100},
author = {Striegl, Julian and Fekih, Farah and Weber, Gerhard and Loitsch, Claudia},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/24cd6041c849019a03385f69dc48620c4/scadsfct},
booktitle = {Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management - 15th International Conference, DHM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings},
doi = {10.1007/978-3-031-61063-9_12},
editor = {Duffy, {Vincent G.}},
interhash = {6a032a6c9f93ed8e8c7633875466cf0e},
intrahash = {4cd6041c849019a03385f69dc48620c4},
isbn = {978-3-031-61062-2},
keywords = {area_responsibleai Agents, Behavioral Chatbots, Cognitive Conversational FIS_scads Psychotherapy, Resource-oriented Salutogenesis, Therapy},
language = {English},
note = {Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.},
pages = {177--188},
publisher = {Springer, Berlin [u. a.]},
series = {Lecture Notes in Computer Science},
timestamp = {2024-11-28T17:40:55.000+0100},
title = {Chatbot-Based Mood and Activity Journaling for Resource-Oriented CBT Support of Students},
year = 2024
}