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Detecting communicative intent in a computerised test of joint attention

The successful navigation of social interactions depends on a range of cognitive faculties—including the ability to achieve joint attention with others to share information and experiences. We investigated the influence that intention monitoring processes have on gaze-following response times during...

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Autores principales: Caruana, Nathan, McArthur, Genevieve, Woolgar, Alexandra, Brock, Jon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5244879/
https://www.ncbi.nlm.nih.gov/pubmed/28123912
http://dx.doi.org/10.7717/peerj.2899
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author Caruana, Nathan
McArthur, Genevieve
Woolgar, Alexandra
Brock, Jon
author_facet Caruana, Nathan
McArthur, Genevieve
Woolgar, Alexandra
Brock, Jon
author_sort Caruana, Nathan
collection PubMed
description The successful navigation of social interactions depends on a range of cognitive faculties—including the ability to achieve joint attention with others to share information and experiences. We investigated the influence that intention monitoring processes have on gaze-following response times during joint attention. We employed a virtual reality task in which 16 healthy adults engaged in a collaborative game with a virtual partner to locate a target in a visual array. In the Search task, the virtual partner was programmed to engage in non-communicative gaze shifts in search of the target, establish eye contact, and then display a communicative gaze shift to guide the participant to the target. In the NoSearch task, the virtual partner simply established eye contact and then made a single communicative gaze shift towards the target (i.e., there were no non-communicative gaze shifts in search of the target). Thus, only the Search task required participants to monitor their partner’s communicative intent before responding to joint attention bids. We found that gaze following was significantly slower in the Search task than the NoSearch task. However, the same effect on response times was not observed when participants completed non-social control versions of the Search and NoSearch tasks, in which the avatar’s gaze was replaced by arrow cues. These data demonstrate that the intention monitoring processes involved in differentiating communicative and non-communicative gaze shifts during the Search task had a measurable influence on subsequent joint attention behaviour. The empirical and methodological implications of these findings for the fields of autism and social neuroscience will be discussed.
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spelling pubmed-52448792017-01-25 Detecting communicative intent in a computerised test of joint attention Caruana, Nathan McArthur, Genevieve Woolgar, Alexandra Brock, Jon PeerJ Neuroscience The successful navigation of social interactions depends on a range of cognitive faculties—including the ability to achieve joint attention with others to share information and experiences. We investigated the influence that intention monitoring processes have on gaze-following response times during joint attention. We employed a virtual reality task in which 16 healthy adults engaged in a collaborative game with a virtual partner to locate a target in a visual array. In the Search task, the virtual partner was programmed to engage in non-communicative gaze shifts in search of the target, establish eye contact, and then display a communicative gaze shift to guide the participant to the target. In the NoSearch task, the virtual partner simply established eye contact and then made a single communicative gaze shift towards the target (i.e., there were no non-communicative gaze shifts in search of the target). Thus, only the Search task required participants to monitor their partner’s communicative intent before responding to joint attention bids. We found that gaze following was significantly slower in the Search task than the NoSearch task. However, the same effect on response times was not observed when participants completed non-social control versions of the Search and NoSearch tasks, in which the avatar’s gaze was replaced by arrow cues. These data demonstrate that the intention monitoring processes involved in differentiating communicative and non-communicative gaze shifts during the Search task had a measurable influence on subsequent joint attention behaviour. The empirical and methodological implications of these findings for the fields of autism and social neuroscience will be discussed. PeerJ Inc. 2017-01-17 /pmc/articles/PMC5244879/ /pubmed/28123912 http://dx.doi.org/10.7717/peerj.2899 Text en ©2017 Caruana et al. 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, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Neuroscience
Caruana, Nathan
McArthur, Genevieve
Woolgar, Alexandra
Brock, Jon
Detecting communicative intent in a computerised test of joint attention
title Detecting communicative intent in a computerised test of joint attention
title_full Detecting communicative intent in a computerised test of joint attention
title_fullStr Detecting communicative intent in a computerised test of joint attention
title_full_unstemmed Detecting communicative intent in a computerised test of joint attention
title_short Detecting communicative intent in a computerised test of joint attention
title_sort detecting communicative intent in a computerised test of joint attention
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5244879/
https://www.ncbi.nlm.nih.gov/pubmed/28123912
http://dx.doi.org/10.7717/peerj.2899
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