友好的机器人更受信任吗？机器人社交性与信任分析

IF 2.9 Q2 ROBOTICS

Robotics Pub Date : 2023-11-29 DOI:10.3390/robotics12060162

T. Kadylak, M. Bayles, Wendy A. Rogers

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引用次数: 0

摘要

老年人更愿意在保持自主性的同时，与家人、同龄人和社区保持社会联系和接触。虽然个人在实现这些目标时可能会遇到障碍，但社交辅助机器人（SAR）在促进居家养老和独立性方面具有潜力。这种家用机器人必须值得信赖、易于使用，并且能够在公认的社会规范范围内行事，才能被成功地大规模采用。我们调查了机器人的社交性与对家用机器人支持日常生活工具性活动（IADLs）的信任之间的感知关联。在我们的多重研究方法中，我们通过两个独立的在线调查收集了 65 岁及以上成年人的反馈（研究 1，N = 51；研究 2，N = 43）。我们评估了感知到的机器人社交性与机器人信任之间的关系。我们的结果一致表明，在 IADL 任务中，感知到的机器人社交性与机器人信任度之间存在很强的正相关关系。这些数据对促进老年人对机器人的信任和接受在家中使用机器人具有设计意义。

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Are Friendly Robots Trusted More? An Analysis of Robot Sociability and Trust

Older individuals prefer to maintain their autonomy while maintaining social connection and engagement with their family, peers, and community. Though individuals can encounter barriers to these goals, socially assistive robots (SARs) hold the potential for promoting aging in place and independence. Such domestic robots must be trusted, easy to use, and capable of behaving within the scope of accepted social norms for successful adoption to scale. We investigated perceived associations between robot sociability and trust in domestic robot support for instrumental activities of daily living (IADLs). In our multi-study approach, we collected responses from adults aged 65 years and older using two separate online surveys (Study 1, N = 51; Study 2, N = 43). We assessed the relationship between perceived robot sociability and robot trust. Our results consistently demonstrated a strong positive relationship between perceived robot sociability and robot trust for IADL tasks. These data have design implications for promoting robot trust and acceptance of SARs for use in the home by older adults.

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来源期刊

Robotics Mathematics-Control and Optimization

CiteScore

6.70

自引率

8.10%

发文量

114

审稿时长

11 weeks

期刊介绍： Robotics publishes original papers, technical reports, case studies, review papers and tutorials in all the aspects of robotics. Special Issues devoted to important topics in advanced robotics will be published from time to time. It particularly welcomes those emerging methodologies and techniques which bridge theoretical studies and applications and have significant potential for real-world applications. It provides a forum for information exchange between professionals, academicians and engineers who are working in the area of robotics, helping them to disseminate research findings and to learn from each other’s work. Suitable topics include, but are not limited to: -intelligent robotics, mechatronics, and biomimetics -novel and biologically-inspired robotics -modelling, identification and control of robotic systems -biomedical, rehabilitation and surgical robotics -exoskeletons, prosthetics and artificial organs -AI, neural networks and fuzzy logic in robotics -multimodality human-machine interaction -wireless sensor networks for robot navigation -multi-sensor data fusion and SLAM