AI-human Hybrid for Depression Treatment : The Moderating Role of Social Stigma

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationICIS 2021 Proceedings
PublisherAssociation for Information Systems
ISBN (Print)978-1-7336325-9-1
Publication statusPublished - Dec 2021

Conference

Title42nd International Conference on Information Systems (ICIS 2021)
PlaceUnited States
CityAustin
Period12 - 15 December 2021

Abstract

Depression has become a global medical crisis. Barriers for effective depression treatment include shortage of medical professionals, inaccurate assessment, and social stigma towards depression. Leveraging artificial intelligence (AI) system in depression treatment is a possible way to remove these barriers. However, AI system has its limitations such as assessment bias. Hence, in this short paper, we propose integrating AI and human intelligence to create a task assembly AI-human hybrid for depression treatment. We then develop a research model to assess users’ preference with three service agents (i.e., human physicians, AI system, and AI-human hybrid) in terms of privacy concern and trust. We also argue that social stigma plays a moderating role in users’ service agent preference. Further, we examine the underlying mechanisms that form the users’ intention to use a certain service agent. This paper can have significant theoretical and practical implications for AI implementation in mental healthcare setting.

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

AI-human Hybrid for Depression Treatment : The Moderating Role of Social Stigma. / Yan, Aihua; Xu, David.

ICIS 2021 Proceedings. Association for Information Systems, 2021. 1928.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review