End Users' Perception on an AI Chatbot in a Snus Cessation Mobile Application
Saved in:
| Title: | End Users' Perception on an AI Chatbot in a Snus Cessation Mobile Application |
|---|---|
| Authors: | Citoler, Alba Puyuelo, Lee, Eunji, 1980 |
| Source: | 20th World Congress on Medical and Health Informatics, MEDINFO 2025, Taipei, Taiwan Studies in Health Technology and Informatics. 329:1271-1275 |
| Subject Terms: | mobile health application, artificial intelligence chatbot, conversational artificial intelligence, mental health, Snus cessation, virtual therapist, addiction |
| Description: | This study examines end-user perceptions of an AI chatbot as a virtual therapist through a design study of ExSnus, a prototype of a mobile health application designed to assist users in quitting snus. ExSnus includes features such as a forum to share experiences of the users' quitting journeys, and an AI chatbot that offers personalized advice and support. An interview study conducted after a usability test with university students revealed mixed opinions on the chatbot's role. While some participants valued its privacy and tailored interactions, others preferred the forum for its human connection. The findings also highlighted a preference for text over voice. These results show the challenges and opportunities of integrating AI chatbots in mental healthcare, highlighting the importance of considering users' opinions when implementing AI in therapeutic contexts. |
| File Description: | electronic |
| Access URL: | https://research.chalmers.se/publication/547955 https://research.chalmers.se/publication/547955/file/547955_Fulltext.pdf |
| Database: | SwePub |
Nájsť tento článok vo Web of Science | Abstract: | This study examines end-user perceptions of an AI chatbot as a virtual therapist through a design study of ExSnus, a prototype of a mobile health application designed to assist users in quitting snus. ExSnus includes features such as a forum to share experiences of the users' quitting journeys, and an AI chatbot that offers personalized advice and support. An interview study conducted after a usability test with university students revealed mixed opinions on the chatbot's role. While some participants valued its privacy and tailored interactions, others preferred the forum for its human connection. The findings also highlighted a preference for text over voice. These results show the challenges and opportunities of integrating AI chatbots in mental healthcare, highlighting the importance of considering users' opinions when implementing AI in therapeutic contexts. |
|---|---|
| ISSN: | 09269630 18798365 |
| DOI: | 10.3233/SHTI251043 |