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Being watched over by a conversation robot may enhance safety in simulated driving

机译:由对话机器人监视可能会提高模拟驾驶的安全性

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Introduction: In an aging society that is more and more information-oriented, being able to replace human passengers' protective effects on vehicle drivers with those of social robots is both essential and promising. However, the effects of a social robot's presence on drivers have not yet been fully explored. Thus, using a driving simulator and a conversation robot, this experimental study had two main goals: (a) to find out whether social robots' anthropomorphic qualities (i.e., not the practical information the robot provides drivers) have protective effects by promoting attentive driving and alleviating crash risks; and (b) by what psychological processes such effects emerge. Method: Participants were recruited from young (n = 38), the middle-aged (n = 39), and the elderly (n = 49) age groups. They were assigned to either the treatment group (simulated driving in a conversation robot's presence) or the control group (simulated driving alone), and their driving performance was measured. Mental states (peaceful, concentrating, and reflective) also were assessed in a post-driving questionnaire using our original scales. Results: Although the group of older participants did not experience protective effects (perhaps due to motion sickness), the young participants drove attentively, with the robot enhancing peace of mind. The protective effect was also observed among the middle-aged participants, and the verbal data analysis ascribed this to the robot's role of expressing sympathy, especially when the middle-aged drivers nearly had not-at-fault crashes, which caused them to be stressed. In conclusion, we discuss the practical implications of the results. (C) 2019 National Safety Council and Elsevier Ltd. All rights reserved.
机译:简介:在一个越来越以信息为导向的老龄化社会中,能够用社交机器人替代人类乘客对车辆驾驶员的保护作用是必不可少且有希望的。然而,尚未充分探讨社交机器人的存在对驾驶员的影响。因此,通过使用驾驶模拟器和对话机器人,该实验研究具有两个主要目标:(a)通过促进专心驾驶来发现社交机器人的拟人素质(即,不是机器人提供给驾驶员的实用信息)是否具有保护作用。并减轻坠机风险; (b)这种影响是通过什么心理过程出现的。方法:从年轻(n = 38),中年(n = 39)和老年人(n = 49)年龄组中招募参与者。将他们分配给治疗组(在对话机器人在场的情况下模拟驾驶)或对照组(单独的模拟驾驶),并测量其驾驶性能。精神状态(和平,专心和反思)也用我们的原始量表在驾驶后问卷中进行了评估。结果:尽管年龄较大的参与者组没有受到保护作用(可能是由于晕车引起的),但年轻的参与者专心驾驶,机器人增强了内心的平静。在中年参与者中还观察到了保护作用,言语数据分析将其归因于机器人表达同情的作用,特别是当中年驾驶员几乎没有发生过错事故时,这使他们感到压力重重。 。总之,我们讨论了结果的实际含义。 (C)2019国家安全委员会和Elsevier Ltd.保留所有权利。

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