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An Agent-Based Intervention to Assist Drivers Under Stereotype Threat: Effects of In-Vehicle Agents' Attributional Error Feedback

机译:基于座席的干预以协助驾驶员在刻板印象威胁下:车载座席归因错误反馈的影响

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摘要

For members of a group negatively stereotyped in a domain, making mistakes can aggravate the influence of stereotype threat because negative stereotypes often blame target individuals and attribute the outcome to their lack of ability. Virtual agents offering real-time error feedback may influence performance under stereotype threat by shaping the performers' attributional perception of errors they commit. We explored this possibility with female drivers, considering the prevalence of the women-are-bad-drivers stereotype. Specifically, we investigated how in-vehicle voice agents offering error feedback based on responsibility attribution (internal vs. external) and outcome attribution (ability vs. effort) influence female drivers' performance under stereotype threat. In addressing this question, we conducted an experiment in a virtual driving simulation environment that provided moment-to-moment error feedback messages. Participants performed a challenging driving task and made mistakes preprogrammed to occur. Results showed that the agent's error feedback with outcome attribution moderated the stereotype threat effect on driving performance. Participants under stereotype threat had a smaller number of collisions when the errors were attributed to effort than to ability. In addition, outcome attribution feedback moderated the effect of responsibility attribution on driving performance. Implications of these findings are discussed.
机译:对于在域中被负面刻板印象的群体成员而言,犯错误会加剧刻板印象威胁的影响,因为负面刻板印象通常会指责目标个人并将结果归因于他们缺乏能力。提供实时错误反馈的虚拟代理可以通过塑造表演者对他们所犯错误的归因感来影响刻板印象威胁下的性能。考虑到女性是不良驾驶员的刻板印象,我们与女性驾驶员探讨了这种可能性。具体而言,我们研究了基于责任归因(内部与外部)和结果归因(能力与工作量)提供错误反馈的车载语音代理如何在刻板印象威胁下影响女性驾驶员的表现。为了解决这个问题,我们在虚拟驾驶模拟环境中进行了一项实验,该环境提供了瞬间的错误反馈消息。参与者执行了具有挑战性的驾驶任务,并犯下了预先设定的错误。结果表明,特工的错误反馈和结果归因减轻了刻板印象对驾驶表现的威胁作用。当错误归因于努力而不是能力时,受到刻板印象威胁的参与者发生的碰撞次数更少。此外,结果归因反馈缓解了责任归因对驾驶绩效的影响。讨论了这些发现的含义。

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