Mirror Eyes: Explainable Human-Robot Interaction at a Glance

Fuente: arXiv
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Main Authors: Krüger, Matti, Tanneberg, Daniel, Wang, Chao, Hasler, Stephan, Gienger, Michael
Format: Preprint
Published: 2025
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author Krüger, Matti
Tanneberg, Daniel
Wang, Chao
Hasler, Stephan
Gienger, Michael
author_facet Krüger, Matti
Tanneberg, Daniel
Wang, Chao
Hasler, Stephan
Gienger, Michael
contents The gaze of a person tends to reflect their interest. This work explores what happens when this statement is taken literally and applied to robots. Here we present a robot system that employs a moving robot head with a screen-based eye model that can direct the robot's gaze to points in physical space and present a reflection-like mirror image of the attended region on top of each eye. We conducted a user study with 33 participants, who were asked to instruct the robot to perform pick-and-place tasks, monitor the robot's task execution, and interrupt it in case of erroneous actions. Despite a deliberate lack of instructions about the role of the eyes and a very brief system exposure, participants felt more aware about the robot's information processing, detected erroneous actions earlier, and rated the user experience higher when eye-based mirroring was enabled compared to non-reflective eyes. These results suggest a beneficial and intuitive utilization of the introduced method in cooperative human-robot interaction.
format Preprint
id arxiv_https___arxiv_org_abs_2506_18466
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Mirror Eyes: Explainable Human-Robot Interaction at a Glance
Krüger, Matti
Tanneberg, Daniel
Wang, Chao
Hasler, Stephan
Gienger, Michael
Robotics
Human-Computer Interaction
The gaze of a person tends to reflect their interest. This work explores what happens when this statement is taken literally and applied to robots. Here we present a robot system that employs a moving robot head with a screen-based eye model that can direct the robot's gaze to points in physical space and present a reflection-like mirror image of the attended region on top of each eye. We conducted a user study with 33 participants, who were asked to instruct the robot to perform pick-and-place tasks, monitor the robot's task execution, and interrupt it in case of erroneous actions. Despite a deliberate lack of instructions about the role of the eyes and a very brief system exposure, participants felt more aware about the robot's information processing, detected erroneous actions earlier, and rated the user experience higher when eye-based mirroring was enabled compared to non-reflective eyes. These results suggest a beneficial and intuitive utilization of the introduced method in cooperative human-robot interaction.
title Mirror Eyes: Explainable Human-Robot Interaction at a Glance
topic Robotics
Human-Computer Interaction
url https://arxiv.org/abs/2506.18466