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

Aihua Yan; David Xu

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

Department of Information Systems

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	ICIS 2021 Proceedings
Publisher	Association for Information Systems
ISBN (Print)	978-1-7336325-9-1
Publication status	Published - 2021
Event	42nd International Conference on Information Systems (ICIS 2021): Building Sustainability and Resilience with IS: A Call for Action - Austin, United States Duration: 12 Dec 2021 → 15 Dec 2021 https://icis2021.aisconferences.org/

Publication series

Name	International Conference on Information Systems, ICIS

Conference

Conference	42nd International Conference on Information Systems (ICIS 2021)
Country/Territory	United States
City	Austin
Period	12/12/21 → 15/12/21
Internet address	https://icis2021.aisconferences.org/

Bibliographical 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).

Research Keywords

AI-human hybrid
artificial intelligence
depression treatment
privacy concern
trust

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title = "AI-human Hybrid for Depression Treatment: The Moderating Role of Social Stigma",

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{\textquoteright} 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{\textquoteright} service agent preference. Further, we examine the underlying mechanisms that form the users{\textquoteright} intention to use a certain service agent. This paper can have significant theoretical and practical implications for AI implementation in mental healthcare setting.",

keywords = "AI-human hybrid, artificial intelligence, depression treatment, privacy concern, trust",

author = "Aihua Yan and David Xu",

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).; 42nd International Conference on Information Systems (ICIS 2021) : Building Sustainability and Resilience with IS: A Call for Action ; Conference date: 12-12-2021 Through 15-12-2021",

year = "2021",

language = "English",

isbn = "978-1-7336325-9-1",

series = "International Conference on Information Systems, ICIS",

publisher = "Association for Information Systems",

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url = "https://icis2021.aisconferences.org/",

}

Yan, A & Xu, D 2021, AI-human Hybrid for Depression Treatment: The Moderating Role of Social Stigma. in ICIS 2021 Proceedings. International Conference on Information Systems, ICIS, Association for Information Systems, 42nd International Conference on Information Systems (ICIS 2021), Austin, Texas, United States, 12/12/21. <https://aisel.aisnet.org/icis2021/is_implement/is_implement/8/>

AI-human Hybrid for Depression Treatment: The Moderating Role of Social Stigma. / Yan, Aihua ; Xu, David.
ICIS 2021 Proceedings. Association for Information Systems, 2021. (International Conference on Information Systems, ICIS).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - AI-human Hybrid for Depression Treatment

T2 - 42nd International Conference on Information Systems (ICIS 2021)

AU - Yan, Aihua

AU - Xu, David

N1 - 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).

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - AI-human hybrid

KW - artificial intelligence

KW - depression treatment

KW - privacy concern

KW - trust

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85189791810&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-7336325-9-1

T3 - International Conference on Information Systems, ICIS

BT - ICIS 2021 Proceedings

PB - Association for Information Systems

Y2 - 12 December 2021 through 15 December 2021

ER -

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

Abstract

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