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  • 标题:Trusting Robocop: Gender-Based Effects on Trust of an Autonomous Robot
  • 本地全文:下载
  • 作者:Gallimore, Darci ; Lyons, Joseph B. ; Vo, Thy
  • 期刊名称:Frontiers in Psychology
  • 电子版ISSN:1664-1078
  • 出版年度:2019
  • 卷号:10
  • 页码:1-9
  • DOI:10.3389/fpsyg.2019.00482
  • 出版社:Frontiers Media
  • 摘要: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.
  • 关键词:individual differences; gender; gender-based effects; Trust; Autonomous Robots; Trust in automation; security robots
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