Effort and Multidimensional Ability in Robot Services: How Human-Like Movement Increases Perceived Product Quality

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Authors: Ye Eun Jeon, Hee Sun Park
Cited by: 0
References: 63

Abstract

This research systematically investigates the roles of effort and ability exhibited by robots during service encounters. Although both are essential to successful service delivery, effort has traditionally been regarded as a uniquely human attribute, and robot ability has often been treated as a single construct. To address this limitation, the current research conceptualizes ability as a multidimensional construct comprising absolute and relative abilities, which may operate through distinct evaluative mechanisms. Across two studies, the findings show that human-like movement serves as a behavioral cue that simultaneously evokes perceptions of effort as well as absolute and relative abilities. Importantly, even for non-humanoid robots lacking human appearance, movement patterns resembling human actions during task execution can elicit inferences about effort and ability. These perceptions increase perceived product quality, such as the expected taste of coffee prepared by a robot server, with two ability types playing distinct roles depending on prior experience.

Fields of Study & Subjects

AI in Service Interactions Social Robot Interaction and HRI Customer Service Quality and Loyalty

Publication details

Journal / source
International Journal of Human-Computer Interaction
Pages
1–18
Publication date
9 March 2026
Language
EN