Abstract
Mental health and mental wellbeing have become an important factor to many citizens navigating their way through their environment and in the work place. New technology solutions such as chatbots are potential channels for supporting and coaching users to maintain a good state of mental wellbeing. Chatbots have the added value of providing social conversations and coaching 24/7 outside from conventional mental health services. However, little is known about the acceptability and user led requirements of this technology. This paper uses a living lab approach to elicit requirements, opinions and attitudes towards the use of chatbots for supporting mental health. The data collected was acquired from people living with anxiety or mild depression in a workshop setting. The audio of the workshop was recorded and a thematic analysis was carried out. The results are the co-created functional requirements and a number of use case scenarios that can be of interest to guide future development of chatbots in the mental health domain.
Original language | English |
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Title of host publication | Conversational Dialogue Systems for the Next Decade, IWSDS 2020 |
Subtitle of host publication | IWSDS 2020 |
Editors | Luis Fernando D’Haro, Zoraida Callejas, Satoshi Nakamura |
Publisher | Springer Cham |
Pages | 201-212 |
Number of pages | 12 |
ISBN (Electronic) | 978-981-15-8395-7 |
ISBN (Print) | 978-981-15-8394-0 |
DOIs | |
Publication status | Published online - 25 Oct 2020 |
Publication series
Name | Lecture Notes in Electrical Engineering |
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Volume | 704 |
ISSN (Print) | 1876-1100 |
ISSN (Electronic) | 1876-1119 |
Bibliographical note
Funding Information:Acknowledgements This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 823907 (MENHIR: Mental health monitoring through interactive conversations https://menhir-project.eu).
Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.