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Requirements and Solution Approaches to Personality-Adaptive Conversational Agents in Mental Health Care

Author

Listed:
  • Dominik Siemon

    (Department of Software Engineering, School of Engineering Science, LUT University, 53850 Lappeenranta, Finland)

  • Rangina Ahmad

    (Chair of Information Management, Institute of Business Information Systems, Technische Universität Braunschweig, 38106 Braunschweig, Germany)

  • Henrik Harms

    (Chair of Information Management, Institute of Business Information Systems, Technische Universität Braunschweig, 38106 Braunschweig, Germany)

  • Triparna de Vreede

    (School of Information Systems and Management, Muma College of Business, University of South Florida, Tampa, FL 33620, USA)

Abstract

Artificial intelligence (AI) technologies enable Conversational Agents (CAs) to perform highly complex tasks in a human-like manner and may help people cope with anxiety to improve their mental health and well-being. To support patients with their mental well-being in an authentic way, CAs need to be imbued with human-like behavior, such as personality. In this paper we cover an innovative form of CA, so-called Personality-Adaptive Conversational Agents (PACAs) that automatically infer users’ personality traits and adapt accordingly to their personality. We empirically investigate their benefits and caveats in mental health care. The results of our study show that PACAs can be beneficial for mental health support, but they also raise concerns about trust and privacy issues. We present a set of relevant requirements for designing PACAs and provide solution approaches that can be followed when designing and implementing PACAs for mental health care.

Suggested Citation

  • Dominik Siemon & Rangina Ahmad & Henrik Harms & Triparna de Vreede, 2022. "Requirements and Solution Approaches to Personality-Adaptive Conversational Agents in Mental Health Care," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3832-:d:778582
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    References listed on IDEAS

    as
    1. Rangina Ahmad & Dominik Siemon & Ulrich Gnewuch & Susanne Robra-Bissantz, 2022. "Designing Personality-Adaptive Conversational Agents for Mental Health Care," Information Systems Frontiers, Springer, vol. 24(3), pages 923-943, June.
    2. Fotis Kitsios & Maria Kamariotou, 2021. "Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    3. Montserrat Mateos-Sanchez & Amparo Casado Melo & Laura Sánchez Blanco & Ana M. Fermoso García, 2022. "Chatbot, as Educational and Inclusive Tool for People with Intellectual Disabilities," Sustainability, MDPI, vol. 14(3), pages 1-14, January.
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    Cited by:

    1. Daniel Teodorescu & Kamer-Ainur Aivaz & Diane Paula Corine Vancea & Elena Condrea & Cristian Dragan & Ana Cornelia Olteanu, 2023. "Consumer Trust in AI Algorithms Used in E-Commerce: A Case Study of College Students at a Romanian Public University," Sustainability, MDPI, vol. 15(15), pages 1-15, August.
    2. Ming-Ching Hsu, 2023. "The Construction of Critical Factors for Successfully Introducing Chatbots into Mental Health Services in the Army: Using a Hybrid MCDM Approach," Sustainability, MDPI, vol. 15(10), pages 1-22, May.

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