人机交互
知识管理
计算机科学
斯科普斯
决策支持系统
领域(数学分析)
人机交互
机器人
工程类
人工智能
数学分析
数学
梅德林
政治学
法学
作者
Yuan Liu,Glenda Amayo Caldwell,Markus Rittenbruch,Muge Fialho Leandro Alves Teixeira,Alan Burden,Matthias R. Guertler
出处
期刊:Robotics
[MDPI AG]
日期:2024-02-09
卷期号:13 (2): 30-30
被引量:3
标识
DOI:10.3390/robotics13020030
摘要
The advent of Industry 4.0 has heralded advancements in Human–robot Collaboration (HRC), necessitating a deeper understanding of the factors influencing human decision making within this domain. This scoping review examines the breadth of research conducted on HRC, with a particular focus on identifying factors that affect human decision making during collaborative tasks and finding potential solutions to improve human decision making. We conducted a comprehensive search across databases including Scopus, IEEE Xplore and ACM Digital Library, employing a snowballing technique to ensure the inclusion of all pertinent studies, and adopting the PRISMA Extension for Scoping Reviews (PRISMA-ScR) for the reviewing process. Some of the important aspects were identified: (i) studies’ design and setting; (ii) types of human–robot interaction, types of cobots and types of tasks; (iii) factors related to human decision making; and (iv) types of user interfaces for human–robot interaction. Results indicate that cognitive workload and user interface are key in influencing decision making in HRC. Future research should consider social dynamics and psychological safety, use mixed methods for deeper insights and consider diverse cobots and tasks to expand decision-making studies. Emerging XR technologies offer the potential to enhance interaction and thus improve decision making, underscoring the need for intuitive communication and human-centred design.
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