Impact of Robot Design Features on Worker-Robot Interaction: A Meta-Analysis and Systematic Review

With the advent of Industry 5.0 and the widespread use of robots, worker-robot interaction (WRI) became crucial. However, there was a lack of systematic reviews on the impact of robot design features on WRI. This study aimed to conduct a meta-analysis and systematic review, searching the relevant literature published from 2015 to 2024 in Google Scholar, Taylor & Francis, Scopus, and ScienceDirect. The data collection from 22 studies that totally recruited 1,254 participants provided 113 effect sizes. The total of 1,254 participants reflects the sum of unique samples across all included studies, with no double-counting of overlapping participants. The 113 effect sizes stemmed from the standard meta-analysis practice of extracting multiple effect sizes per study when appropriate. Robot design features included interaction, appearance, and function. WRI was categorized into subjective evaluation, mental workload, task performance, and situation awareness. Results showed all three types of features had a positive impact on WRI after adjustment for publication bias (overall adjusted effect size g = 0.425), among which functional features had the largest effect (adjusted effect size g = 0.605), while interaction features (adjusted effect size g = 0.341) and appearance features (effect size g = 0.427, no publication bias) had smaller effects. Meta-regression showed that participant type and robot design features were significant moderators of the effect size, while age and automation level had no significant moderating effect. This study revealed the core role of functional features in the WRI and suggested that targeted robot design features should be selected based on workers’ needs to enhance satisfaction with WRI in practical applications.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-07-01
DOI
https://doi.org/10.1080/10447318.2026.2693612
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Impact of Robot Design Features on Worker-Robot Interaction: A Meta-Analysis and Systematic Review

Siu Shing Man, Alan H. S. Chan, Xin Zhang, Zhen Qin et al.
International Journal of Human-Computer Interaction
Human-Automation Interaction and Safety
article

Impact of Robot Design Features on Worker-Robot Interaction: A Meta-Analysis and Systematic Review

Siu Shing Man, Alan H. S. Chan, Xin Zhang, Zhen Qin, Mu Tong
article en

Abstract

With the advent of Industry 5.0 and the widespread use of robots, worker-robot interaction (WRI) became crucial. However, there was a lack of systematic reviews on the impact of robot design features on WRI. This study aimed to conduct a meta-analysis and systematic review, searching the relevant literature published from 2015 to 2024 in Google Scholar, Taylor & Francis, Scopus, and ScienceDirect. The data collection from 22 studies that totally recruited 1,254 participants provided 113 effect sizes. The total of 1,254 participants reflects the sum of unique samples across all included studies, with no double-counting of overlapping participants. The 113 effect sizes stemmed from the standard meta-analysis practice of extracting multiple effect sizes per study when appropriate. Robot design features included interaction, appearance, and function. WRI was categorized into subjective evaluation, mental workload, task performance, and situation awareness. Results showed all three types of features had a positive impact on WRI after adjustment for publication bias (overall adjusted effect size g = 0.425), among which functional features had the largest effect (adjusted effect size g = 0.605), while interaction features (adjusted effect size g = 0.341) and appearance features (effect size g = 0.427, no publication bias) had smaller effects. Meta-regression showed that participant type and robot design features were significant moderators of the effect size, while age and automation level had no significant moderating effect. This study revealed the core role of functional features in the WRI and suggested that targeted robot design features should be selected based on workers’ needs to enhance satisfaction with WRI in practical applications.

International Journal of Human-Computer Interaction
City University of Hong Kong (HK), City College of Dongguan University of Technology (CN), South China Institute of Collaborative Innovation (CN), South China University of Technology (CN)
National Natural Science Foundation of China, Guangzhou Municipal Science and Technology Bureau, Fundamental Research Funds for the Central Universities, Ministry of Education Key Projects of Philosophy and Social Sciences Research
Decent work and economic growth
Openalex Percentile: Top 5%
Human-Automation Interaction and Safety
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