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2021 | OriginalPaper | Buchkapitel

Towards the Development of a Trustworthy Chatbot for Mental Health Applications

verfasst von : Matthias Kraus, Philip Seldschopf, Wolfgang Minker

Erschienen in: MultiMedia Modeling

Verlag: Springer International Publishing

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Abstract

Research on conversational chatbots for mental health applications is an emerging topic. Current work focuses primarily on the usability and acceptance of such systems. However, the human-computer trust relationship is often overlooked, even though being highly important for the acceptance of chatbots in a clinical environment. This paper presents the creation and evaluation of a trustworthy agent using relational and proactive dialogue. A pilot study with non-clinical subjects showed that a relational strategy using empathetic reactions and small-talk failed to foster human-computer trust. However, changing the initiative to be more proactive seems to be welcomed as it is perceived more reliable and understandable by users.

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Vorheriges Kapitel Multimodal Sensor Data Analysis for Detection of Risk Situations of Fragile People in @home Environments
Nächstes Kapitel Fusion of Multimodal Sensor Data for Effective Human Action Recognition in the Service of Medical Platforms
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Metadaten
Titel
Towards the Development of a Trustworthy Chatbot for Mental Health Applications
verfasst von
Matthias Kraus
Philip Seldschopf
Wolfgang Minker
Copyright-Jahr
2021
Buch
MultiMedia Modeling

Print ISBN: 978-3-030-67834-0

Electronic ISBN: 978-3-030-67835-7

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-67835-7_30

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