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Modeling the Human-Robot Trust Phenomenon: A Conceptual Framework based on Risk

Published: 16 November 2018 Publication History

Abstract

This article presents a conceptual framework for human-robot trust which uses computational representations inspired by game theory to represent a definition of trust, derived from social psychology. This conceptual framework generates several testable hypotheses related to human-robot trust. This article examines these hypotheses and a series of experiments we have conducted which both provide support for and also conflict with our framework for trust. We also discuss the methodological challenges associated with investigating trust. The article concludes with a description of the important areas for future research on the topic of human-robot trust.

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    Published In

    cover image ACM Transactions on Interactive Intelligent Systems
    ACM Transactions on Interactive Intelligent Systems  Volume 8, Issue 4
    December 2018
    159 pages
    ISSN:2160-6455
    EISSN:2160-6463
    DOI:10.1145/3292532
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 16 November 2018
    Accepted: 01 September 2018
    Revised: 01 November 2017
    Received: 01 December 2016
    Published in TIIS Volume 8, Issue 4

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    Author Tags

    1. Human-robot trust
    2. risk
    3. social robotics
    4. trust

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