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Do You See what I See? Tracking the Perceptual Beliefs of Robots

Keeping track of others' perceptual beliefs—what they perceive and know about the current situation—is imperative in many social contexts. In a series of experiments, we set out to investigate people's ability to keep track of what robots know or believe about objects and events in the env...

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Detalles Bibliográficos
Autores principales: Thellman, Sam, Ziemke, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567989/
https://www.ncbi.nlm.nih.gov/pubmed/33089112
http://dx.doi.org/10.1016/j.isci.2020.101625
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author Thellman, Sam
Ziemke, Tom
author_facet Thellman, Sam
Ziemke, Tom
author_sort Thellman, Sam
collection PubMed
description Keeping track of others' perceptual beliefs—what they perceive and know about the current situation—is imperative in many social contexts. In a series of experiments, we set out to investigate people's ability to keep track of what robots know or believe about objects and events in the environment. To this end, we subjected 155 experimental participants to an anticipatory-looking false-belief task where they had to reason about a robot's perceptual capability in order to predict its behavior. We conclude that (1) it is difficult for people to track the perceptual beliefs of a robot whose perceptual capability potentially differs significantly from human perception, (2) people can gradually “tune in” to the unique perceptual capabilities of a robot over time by observing it interact with the environment, and (3) providing people with verbal information about a robot's perceptual capability might not significantly help them predict its behavior.
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spelling pubmed-75679892020-10-20 Do You See what I See? Tracking the Perceptual Beliefs of Robots Thellman, Sam Ziemke, Tom iScience Article Keeping track of others' perceptual beliefs—what they perceive and know about the current situation—is imperative in many social contexts. In a series of experiments, we set out to investigate people's ability to keep track of what robots know or believe about objects and events in the environment. To this end, we subjected 155 experimental participants to an anticipatory-looking false-belief task where they had to reason about a robot's perceptual capability in order to predict its behavior. We conclude that (1) it is difficult for people to track the perceptual beliefs of a robot whose perceptual capability potentially differs significantly from human perception, (2) people can gradually “tune in” to the unique perceptual capabilities of a robot over time by observing it interact with the environment, and (3) providing people with verbal information about a robot's perceptual capability might not significantly help them predict its behavior. Elsevier 2020-09-29 /pmc/articles/PMC7567989/ /pubmed/33089112 http://dx.doi.org/10.1016/j.isci.2020.101625 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Thellman, Sam
Ziemke, Tom
Do You See what I See? Tracking the Perceptual Beliefs of Robots
title Do You See what I See? Tracking the Perceptual Beliefs of Robots
title_full Do You See what I See? Tracking the Perceptual Beliefs of Robots
title_fullStr Do You See what I See? Tracking the Perceptual Beliefs of Robots
title_full_unstemmed Do You See what I See? Tracking the Perceptual Beliefs of Robots
title_short Do You See what I See? Tracking the Perceptual Beliefs of Robots
title_sort do you see what i see? tracking the perceptual beliefs of robots
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567989/
https://www.ncbi.nlm.nih.gov/pubmed/33089112
http://dx.doi.org/10.1016/j.isci.2020.101625
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