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Related Experiment Video

Updated: Jun 11, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Mentalistic attention orienting triggered by android eyes.

Wataru Sato¹, Koh Shimokawa², Shota Uono³

¹Psychological Process Research Team, Guardian Robot Project, RIKEN, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0288, Japan. wataru.sato.ya@riken.jp.

Scientific Reports

|October 4, 2024

Summary

This summary is machine-generated.

Robot eyes can capture human attention, similar to human eyes, by triggering reflexive attention orienting. This study shows that android gaze automatically influences human attention, even when considering mental state attribution.

Keywords:

Android Attention orienting Eyes Gaze cueing paradigm Mentalizing/theory of mind.

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Area of Science:

Cognitive Psychology
Human-Robot Interaction
Social Robotics

Background:

Human eyes are crucial for social communication and trigger reflexive attention orienting.
Robots are increasingly integrated into social settings, necessitating an understanding of their interaction capabilities.
It is unclear if artificial eyes, like those on androids, can elicit similar attention orienting responses in humans based on mental attribution.

Purpose of the Study:

To investigate whether an android's eyes can induce attention orienting in humans.
To determine if this effect relies on mental state attribution, similar to human-human interactions.
To explore the influence of gaze cues from an android in a live gaze-cueing paradigm.

Main Methods:

A live gaze-cueing paradigm was employed using an android and human participants.
Experiments involved presenting peripheral targets (lights or sounds) following android gaze cues.
Barriers were used in some experiments to manipulate the android's potential to attend to targets, testing the role of mental attribution.

Main Results:

Participants showed faster reaction times (RTs) to validly cued targets compared to invalidly cued targets, indicating attention orienting.
This effect was observed when android gaze cues were presented without barriers.
Attention orienting occurred regardless of barriers when targets were sounds, suggesting a reliance on perceived mental state.

Conclusions:

Android eyes can automatically induce attention orienting in humans.
This phenomenon appears to be driven by mental state attribution, mirroring human-human interactions.
Findings suggest that robots with eye-like features can leverage social cues for more effective human-robot collaboration.