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The Benefits and Caveats of Personality-Adaptive Conversational Agents in Mental Health Care

Ahmad, Rangina; Siemon, Dominik; Gnewuch, Ulrich; Robra-Bissantz, Susanne

Abstract (englisch):
Artificial intelligence (AI) technologies enable conversational agents (CAs) to perform highly complex tasks in a human-like manner. For example, CAs may help people cope with anxiety and thus can improve mental health and well-being. In order to achieve this and support patients in an authentic way, it is needed to imbue CAs with human-like behavior, such as personality. However, with today's powerful AI capabilities, critical voices regarding AI ethics are becoming increasingly loud to carefully consider potential consequences of designing CAs that appear too human-like. Personality adaptive conversational agents (PACAs) that automatically infer users' personality traits and adapt accordingly to their personality, fall into this category and need to be investigated regarding their benefits and caveats in mental health care. The results of our conducted qualitative study show that PACAs can be beneficial for mental health support, however it also raises concerns among participants about trust and privacy issues.


Scopus
Zitationen: 1
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2021
Sprache Englisch
Identifikator ISBN: 978-1733632584
KITopen-ID: 1000133410
Erschienen in Proceedings of the 27th Americas Conference on Information Systems - Digital Innovation and Entrepreneurship, Virtual Conference, August 9-13, 2021 (AMCIS 2021)
Veranstaltung 27th Americas Conference on Information Systems - Digital Innovation and Entrepreneurship (AMCIS 2021), Online, 09.08.2021 – 13.08.2021
Verlag AIS eLibrary (AISeL)
Nachgewiesen in Scopus
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