Taking candy from a robot: Attitudes toward an autonomous non-humanoid service robot at real-life events

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Authors: Melitta Csepregi, Beáta Korcsok, Judit Abdai, Ádám Miklósi, Bence Ferdinandy, Tímea Kovács, Sára Roszik, Márta Gácsi
Cited by: 1
References: 46

Abstract

As the presence of social service robots in everyday settings is increasing, it is important to understand how they shape human behaviour in real-world interactions. We aimed to investigate the behavioural differences shown by visitors towards an autonomously operating non-humanoid service robot and a human server performing the same task—offering candies. Additionally, we compared the behavioural responses to the robot with and without candies and evaluated the efficiency of the robot compared to the human server. Our findings confirmed most of our predictions: visitors were more likely to orient at the robot than the human server, but they were not more likely to withdraw from the approaching robot than from the human server. Visitors showed similar frequencies of orienting, giving way, touching, pointing, and waving toward the robot, regardless of whether it was carrying candies. The robot’s tray ran out of candies faster than the human server’s in all nine rounds, indicating a high level of robot efficiency and differences in interaction dynamics shown towards the robot and the human server. Together, these findings demonstrate that service robots may elicit distinctive patterns of attention and engagement in public settings, underscoring their capacity to influence human behaviour without inducing avoidance. The results represent a first step towards a more nuanced understanding of human–robot interaction in service contexts and inform the responsible integration of robots into human environments.

Fields of Study & Subjects

Social Robot Interaction and HRI AI in Service Interactions Human-Automation Interaction and Safety

Publication details

Journal / source
Computers in Human Behavior Reports
Publisher
Elsevier BV
Volume
23
Pages
101204–101204
Publication date
9 July 2026
Language
EN