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

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

How Perceptions of Caller Honesty Vary During Vishing Attacks That Include Highly Sensitive or Seemingly Innocuous Requests.

Human factors·2021
Same author

Does lacking information about your affordances impact your perception of others' affordances? A test of the embodied simulation hypothesis.

Psychonomic bulletin & review·2020
Same author

Do exploratory arm movements contribute to maximum reach distance judgements?

Quarterly journal of experimental psychology (2006)·2020
Same author

The effects of prism adaptation on egocentric metric distance estimation.

Human factors·2014
Same author

An investigation of the prevalence of replication research in human factors.

Human factors·2010
Same author

Can metric feedback training hinder actions involving distance?

Human factors·2009

Related Experiment Video

Updated: Mar 28, 2026

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.6K

Do Tele-Operators Learn to Better Judge Whether a Robot Can Pass Through an Aperture?

Elizabeth A Schmidlin1, Keith S Jones2

  • 1Sony Computer Entertainment America, San Mateo, California.

Human Factors
|January 2, 2016
PubMed
Summary

Tele-operators improved their ability to judge if a robot could pass through an aperture. Analysis using percentage correct, not absolute thresholds, revealed this learning, particularly for impassable openings.

Keywords:
human-robot interactionperception-actionperceptual-motor performancetele-operationvision

More Related Videos

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

14.5K
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

13.6K

Related Experiment Videos

Last Updated: Mar 28, 2026

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.6K
An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

14.5K
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

13.6K

Area of Science:

  • Human-robot interaction
  • Robotics
  • Cognitive psychology

Background:

  • Previous research indicated tele-operators' judgments of robot aperture pass-ability did not improve.
  • This lack of improvement was unexpected and warranted further investigation.

Purpose of the Study:

  • To determine if tele-operators learn to better judge a robot's pass-ability through apertures.
  • To characterize the nature of any observed learning in pass-ability judgments.

Main Methods:

  • Tele-operators performed pass-ability judgments on apertures of varying widths across seven blocks.
  • Participants drove a robot towards an aperture, made a yes/no judgment, and then attempted passage.
  • Judgments were analyzed using percentage correct and absolute thresholds.

Main Results:

  • Learning was evident when analyzing data by percentage correct, but not by absolute thresholds.
  • Tele-operators significantly improved judgments for impassable apertures.
  • Perceptual sensitivity and response bias evolved during the experiment.

Conclusions:

  • Tele-operators demonstrably learn to improve pass-ability judgments, contrary to prior findings.
  • The choice of analytical method (percentage correct vs. absolute thresholds) critically impacts the detection of learning.
  • Future research and training should prioritize the percentage correct metric and focus on judging impassable apertures.