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Trusting Robocop: Gender-Based Effects on Trust of an Autonomous Robot

Darci Gallimore, Joseph B. Lyons, Thy Vo, Sean Mahoney, Kevin T. Wynne

Year
2019
Citations
83
Access
Open access

Abstract

Little is known regarding public opinion of autonomous robots. Trust of these robots is a pertinent topic as this construct relates to one’s willingness to be vulnerable to such systems. The current research examined gender-based effects of trust in the context of an autonomous security robot. Participants (N = 200; 63% male) viewed a video depicting an autonomous guard robot interacting with humans using Amazon’s Mechanical Turk. The robot was equipped with a non-lethal device to deter non-authorized visitors and the video depicted the robot using this non-lethal device on one of the three humans in the video. However, the scenario was designed to create uncertainty regarding who was at fault – the robot or the human. Following the video, participants rated their trust in the robot, perceived trustworthiness of the robot, and their desire to utilize similar autonomous robots in several different contexts that varied from military use to commercial use to home use. The results of the study demonstrated that females reported higher trust and perceived trustworthiness of the robot relative to males. Implications for the role of individual differences in trust of robots is discussed.

Keywords

PsychologyRobotSocial psychologyCognitive psychologyHuman–computer interactionArtificial intelligenceComputer science

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