Effects of Anthropomorphic Design and Motion on Human Perception of Industrial Robotic Arms

Industrial robots are increasingly deployed in human-centered settings, where appearance and motion critically shape worker trust and acceptance. This study employed a 2 × 2 factorial design manipulating robot appearance (Sleek vs. Industrial) and motion (Adaptive vs. Rigid) to examine effects on perceived lifelikeness, intelligence, engagement, trust, and predictability. Participants rated each measure using Likert scales, and data were analyzed using descriptive statistics, two-way ANOVA, and Pearson correlations. Results revealed significant main effects of appearance and movement across multiple perceptual dimensions, with a significant interaction effect observed for trust. Findings suggest that anthropomorphic cues, both visual and behavioral, may enhance perceptions of intelligence, relatability, and trust. This work contributes to the limited literature on anthropomorphism in industrial contexts and provides empirical evidence to guide the design of human-centered collaborative robotic systems.

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Publication Details

Journal
Robotics
Published
2026-05-28
DOI
https://doi.org/10.3390/robotics15060107
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
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article

Effects of Anthropomorphic Design and Motion on Human Perception of Industrial Robotic Arms

Abas Sabouni, Yong Zhu, Sushma Nln
Robotics
Social Robot Interaction and HRI
article

Effects of Anthropomorphic Design and Motion on Human Perception of Industrial Robotic Arms

Abas Sabouni, Yong Zhu, Sushma Nln
article en

Abstract

Industrial robots are increasingly deployed in human-centered settings, where appearance and motion critically shape worker trust and acceptance. This study employed a 2 × 2 factorial design manipulating robot appearance (Sleek vs. Industrial) and motion (Adaptive vs. Rigid) to examine effects on perceived lifelikeness, intelligence, engagement, trust, and predictability. Participants rated each measure using Likert scales, and data were analyzed using descriptive statistics, two-way ANOVA, and Pearson correlations. Results revealed significant main effects of appearance and movement across multiple perceptual dimensions, with a significant interaction effect observed for trust. Findings suggest that anthropomorphic cues, both visual and behavioral, may enhance perceptions of intelligence, relatability, and trust. This work contributes to the limited literature on anthropomorphism in industrial contexts and provides empirical evidence to guide the design of human-centered collaborative robotic systems.

RoboticsVol. 15(6)
Wilkes University (US)
Decent work and economic growth
Openalex Percentile: Top 3%
Social Robot Interaction and HRI
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