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Exploring User Experience with a Conversational Agent to Treat Depression in Youth: A Think-Aloud Study

Onur Kuhlmeier, Florian; Gnewuch, Ulrich; Metelmann, Lilli; Bauch, Luise; Lüttke, Stefan

Abstract:

Conversational agents are a promising digital health intervention that can mitigate help-seeking barriers for youth with depression to receive treatment. Although studies have shown sufficient acceptance, feasibility, and promising effectiveness for adults, not much is known about how youth experience interacting with conversational agents to improve mental health. Therefore, we conducted an exploratory study with 15 youth with to collect data on their interaction with a conversational agent prototype using the think-aloud protocol. We coded the material from the think-aloud sessions using an inductive approach. Our findings provide insights into how youth with depression interacted with the prototype. Participants frequently and controversially discussed the conversational agent’s (1) personality and interaction style, (2) its functionality, and (3) the dialogue content with implications for the design of conversational agents to treat depression and future research.


Verlagsausgabe §
DOI: 10.5445/IR/1000175413
Veröffentlicht am 22.10.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Wirtschaftswissenschaften – Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2022
Sprache Englisch
Identifikator KITopen-ID: 1000175413
Erschienen in Proceedings of the Twenty-First Annual Pre-ICIS Workshop on HCI Research in MIS, Copenhagen, Denmark, 11th December 2022
Veranstaltung Special Interest Group on Human-Computer Interaction (2022), Kopenhagen, Dänemark, 11.12.2022
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