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Trust Violations in Human-Human and Human-Robot Interactions: The Influence of Ability, Benevolence and Integrity Violations

Gene M. Alarcon, August Capiola, Izz Aldin Hamdan, Michael A. Lee

发表年份
2022
引用次数
8

摘要

The present work investigated the effects of trust violations on perceptions and risk-taking behaviors, and how those effects differ in human-human versus human-machine collaborations. Participants were paired with either a human or machine teammate in a derivation of a well-known trust game. Therein, the teammate committed one of three qualitatively different trust violations (i.e., an ability-, benevolence-, or integrity-based violation of trust). The results showed that ability-based trust violations had the largest impact on perceptions of ability; the other trust violations did not have differential impacts on self-reported ability, benevolence, or integrity, or risk-taking behaviors, and none of these effects were qualified by being partnered with a human versus a robot. Additionally, humans engaged in more risk-taking behaviors when paired with a robotic partner compared to a human over time.

关键词

Human–robot interactionRobotComputer scienceHuman–computer interactionPsychologyArtificial intelligence

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