Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

251
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
251
Association Areas of the Cortex01:21

Association Areas of the Cortex

5.1K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
5.1K
Vision01:24

Vision

53.0K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
53.0K
  1. Home
  2. Research Domains
  3. Information And Computing Sciences
  4. Artificial Intelligence
  5. Intelligent Robotics
  6. Mentalistic Attention Orienting Triggered By Android Eyes.
  1. Home
  2. Research Domains
  3. Information And Computing Sciences
  4. Artificial Intelligence
  5. Intelligent Robotics
  6. Mentalistic Attention Orienting Triggered By Android Eyes.

Related Experiment Video

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

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

Published on: January 18, 2020

7.6K

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

View abstract on PubMed

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:
AndroidAttention orientingEyesGaze cueing paradigm

More Related Videos

VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

12.7K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

187

Related Experiment Videos

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

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

Published on: January 18, 2020

7.6K
VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

12.7K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

187

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.
Mentalizing/theory of mind.
  • 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.