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Expressing uncertainty in Human-Robot interaction

Most people struggle to understand probability which is an issue for Human-Robot Interaction (HRI) researchers who need to communicate risks and uncertainties to the participants in their studies, the media and policy makers. Previous work showed that even the use of numerical values to express prob...

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Detalles Bibliográficos
Autores principales: Bartneck, Christoph, Moltchanova, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365469/
https://www.ncbi.nlm.nih.gov/pubmed/32673326
http://dx.doi.org/10.1371/journal.pone.0235361
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author Bartneck, Christoph
Moltchanova, Elena
author_facet Bartneck, Christoph
Moltchanova, Elena
author_sort Bartneck, Christoph
collection PubMed
description Most people struggle to understand probability which is an issue for Human-Robot Interaction (HRI) researchers who need to communicate risks and uncertainties to the participants in their studies, the media and policy makers. Previous work showed that even the use of numerical values to express probabilities does not guarantee an accurate understanding by laypeople. We therefore investigate if words can be used to communicate probability, such as “likely” and “almost certainly not”. We embedded these phrases in the context of the usage of autonomous vehicles. The results show that the association of phrases to percentages is not random and there is a preferred order of phrases. The association is, however, not as consistent as hoped for. Hence, it would be advisable to complement the use of words with numerical expression of uncertainty. This study provides an empirically verified list of probabilities phrases that HRI researchers can use to complement the numerical values.
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spelling pubmed-73654692020-08-05 Expressing uncertainty in Human-Robot interaction Bartneck, Christoph Moltchanova, Elena PLoS One Research Article Most people struggle to understand probability which is an issue for Human-Robot Interaction (HRI) researchers who need to communicate risks and uncertainties to the participants in their studies, the media and policy makers. Previous work showed that even the use of numerical values to express probabilities does not guarantee an accurate understanding by laypeople. We therefore investigate if words can be used to communicate probability, such as “likely” and “almost certainly not”. We embedded these phrases in the context of the usage of autonomous vehicles. The results show that the association of phrases to percentages is not random and there is a preferred order of phrases. The association is, however, not as consistent as hoped for. Hence, it would be advisable to complement the use of words with numerical expression of uncertainty. This study provides an empirically verified list of probabilities phrases that HRI researchers can use to complement the numerical values. Public Library of Science 2020-07-16 /pmc/articles/PMC7365469/ /pubmed/32673326 http://dx.doi.org/10.1371/journal.pone.0235361 Text en © 2020 Bartneck, Moltchanova http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bartneck, Christoph
Moltchanova, Elena
Expressing uncertainty in Human-Robot interaction
title Expressing uncertainty in Human-Robot interaction
title_full Expressing uncertainty in Human-Robot interaction
title_fullStr Expressing uncertainty in Human-Robot interaction
title_full_unstemmed Expressing uncertainty in Human-Robot interaction
title_short Expressing uncertainty in Human-Robot interaction
title_sort expressing uncertainty in human-robot interaction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365469/
https://www.ncbi.nlm.nih.gov/pubmed/32673326
http://dx.doi.org/10.1371/journal.pone.0235361
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