期刊
HUMAN FACTORS
卷 64, 期 6, 页码 1027-1050出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/0018720820966433
关键词
design features; interface; adaptability; autonomy; human likeness
资金
- North-Rhine Westfalian graduate school Design of flexible working environments - Human Centered Cyber-Physical Systems in Industry 4.0 (NRW Fortschrittskolleg: Gestaltung von flexiblen Arbeitswelten - Menschenzentrierte Nutzung von Cyber-Physical Systems
This meta-analysis reviews the design features of interface, controller, and appearance in robots and summarizes their effects on successful human-robot interaction. The features of the interface and controller have an impact on task performance and satisfaction, while appearance does not. Adaptability affects cooperation and acceptance, while autonomy affects mental workload.
Objective This meta-analysis reviews robot design features of interface, controller, and appearance and statistically summarizes their effect on successful human-robot interaction (HRI) at work (that is, task performance, cooperation, satisfaction, acceptance, trust, mental workload, and situation awareness). Background Robots are becoming an integral part of many workplaces. As interactions with employees increase, ensuring success becomes ever more vital. Even though many studies investigated robot design features, an overview on general and specific effects is missing. Method Systematic selection of literature and structured coding led to 81 included experimental studies containing 380 effect sizes. Mean effects were calculated using a three-level meta-analysis to handle dependencies of multiple effect sizes in one study. Results Sufficient feedback through the interface, clear visibility of affordances, and adaptability and autonomy of the controller significantly affect successful HRI, whereas appearance does not. The features of the interface and controller affect performance and satisfaction but do not affect situation awareness and trust. Specific effects of adaptability on cooperation and acceptance, as well as autonomy on mental workload, could be shown. Conclusion Robot design at work needs to cover multiple features of interface and controller to achieve successful HRI that covers not only performance and satisfaction, but also cooperation, acceptance, and mental workload. More empirical research is needed to investigate mediating mechanisms and underrepresented design features' effects. Application Robot designers should carefully choose design features to balance specific effects and implementation costs with regard to tasks, work design aims, and employee needs in the specific work context.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据