Goals and means in action observation : a computational approach

Detalhes bibliográficos
Autor(a) principal: Cuijpers, Raymond H.
Data de Publicação: 2006
Outros Autores: Schie, Hein T. van, Koppen, Mathieu, Erlhagen, Wolfram, Bekkering, Harold
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/10951
Resumo: Many of our daily activities are supported by behavioural goals that guide the selection of actions, which allow us to reach these goals effectively. Goals are considered to be important for action observation since they allow the observer to copy the goal of the action without the need to use the exact same means. The importance of being able to use different action means becomes evident when the observer and observed actor have different bodies (robots and humans) or bodily measurements (parents and children), or when the environments of actor and observer differ substantially (when an obstacle is present or absent in either environment). A selective focus on the action goals instead of the action means furthermore circumvents the need to consider the vantage point of the actor, which is consistent with recent findings that people prefer to represent the actions of others from their own individual perspective. In this paper, we use a computational approach to investigate how knowledge about action goals and means are used in action observation. We hypothesise that in action observation human agents are primarily interested in identifying the goals of the observed actor’s behaviour. Behavioural cues (e.g. the way an object is grasped) may help to disambiguate the goal of the actor (e.g. whether a cup is grasped for drinking or handing it over). Recent advances in cognitive neuroscience are cited in support of the model’s architecture.
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spelling Goals and means in action observation : a computational approachAction observationAction planningAction goalsGoal inferenceDecision makingPerception and actionHuman agentsScience & TechnologyMany of our daily activities are supported by behavioural goals that guide the selection of actions, which allow us to reach these goals effectively. Goals are considered to be important for action observation since they allow the observer to copy the goal of the action without the need to use the exact same means. The importance of being able to use different action means becomes evident when the observer and observed actor have different bodies (robots and humans) or bodily measurements (parents and children), or when the environments of actor and observer differ substantially (when an obstacle is present or absent in either environment). A selective focus on the action goals instead of the action means furthermore circumvents the need to consider the vantage point of the actor, which is consistent with recent findings that people prefer to represent the actions of others from their own individual perspective. In this paper, we use a computational approach to investigate how knowledge about action goals and means are used in action observation. We hypothesise that in action observation human agents are primarily interested in identifying the goals of the observed actor’s behaviour. Behavioural cues (e.g. the way an object is grasped) may help to disambiguate the goal of the actor (e.g. whether a cup is grasped for drinking or handing it over). Recent advances in cognitive neuroscience are cited in support of the model’s architecture.ElsevierUniversidade do MinhoCuijpers, Raymond H.Schie, Hein T. vanKoppen, MathieuErlhagen, WolframBekkering, Harold20062006-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/10951eng“Neural Networks”. ISSN 0893-6080. 19:3 (2006) 311-322.0893-608010.1016/j.neunet.2006.02.00416618535www.elsevier.com/locate/neunetinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:25:37Zoai:repositorium.sdum.uminho.pt:1822/10951Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:19:55.256517Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Goals and means in action observation : a computational approach
title Goals and means in action observation : a computational approach
spellingShingle Goals and means in action observation : a computational approach
Cuijpers, Raymond H.
Action observation
Action planning
Action goals
Goal inference
Decision making
Perception and action
Human agents
Science & Technology
title_short Goals and means in action observation : a computational approach
title_full Goals and means in action observation : a computational approach
title_fullStr Goals and means in action observation : a computational approach
title_full_unstemmed Goals and means in action observation : a computational approach
title_sort Goals and means in action observation : a computational approach
author Cuijpers, Raymond H.
author_facet Cuijpers, Raymond H.
Schie, Hein T. van
Koppen, Mathieu
Erlhagen, Wolfram
Bekkering, Harold
author_role author
author2 Schie, Hein T. van
Koppen, Mathieu
Erlhagen, Wolfram
Bekkering, Harold
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Cuijpers, Raymond H.
Schie, Hein T. van
Koppen, Mathieu
Erlhagen, Wolfram
Bekkering, Harold
dc.subject.por.fl_str_mv Action observation
Action planning
Action goals
Goal inference
Decision making
Perception and action
Human agents
Science & Technology
topic Action observation
Action planning
Action goals
Goal inference
Decision making
Perception and action
Human agents
Science & Technology
description Many of our daily activities are supported by behavioural goals that guide the selection of actions, which allow us to reach these goals effectively. Goals are considered to be important for action observation since they allow the observer to copy the goal of the action without the need to use the exact same means. The importance of being able to use different action means becomes evident when the observer and observed actor have different bodies (robots and humans) or bodily measurements (parents and children), or when the environments of actor and observer differ substantially (when an obstacle is present or absent in either environment). A selective focus on the action goals instead of the action means furthermore circumvents the need to consider the vantage point of the actor, which is consistent with recent findings that people prefer to represent the actions of others from their own individual perspective. In this paper, we use a computational approach to investigate how knowledge about action goals and means are used in action observation. We hypothesise that in action observation human agents are primarily interested in identifying the goals of the observed actor’s behaviour. Behavioural cues (e.g. the way an object is grasped) may help to disambiguate the goal of the actor (e.g. whether a cup is grasped for drinking or handing it over). Recent advances in cognitive neuroscience are cited in support of the model’s architecture.
publishDate 2006
dc.date.none.fl_str_mv 2006
2006-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/10951
url http://hdl.handle.net/1822/10951
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv “Neural Networks”. ISSN 0893-6080. 19:3 (2006) 311-322.
0893-6080
10.1016/j.neunet.2006.02.004
16618535
www.elsevier.com/locate/neunet
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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