Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/10951

TitleGoals and means in action observation : a computational approach
Author(s)Cuijpers, Raymond H.
Schie, Hein T. van
Koppen, Mathieu
Erlhagen, Wolfram
Bekkering, Harold
KeywordsAction observation
Action planning
Action goals
Goal inference
Decision making
Perception and action
Human agents
Issue date2006
PublisherElsevier
JournalNeural Networks
Citation“Neural Networks”. ISSN 0893-6080. 19:3 (2006) 311-322.
Abstract(s)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.
TypeArticle
URIhttp://hdl.handle.net/1822/10951
DOI10.1016/j.neunet.2006.02.004
ISSN0893-6080
Publisher versionwww.elsevier.com/locate/neunet
Peer-Reviewedyes
AccessOpen access
Appears in Collections:Offmath - Artigos (Papers)

Files in This Item:
File Description SizeFormat 
CujpersEtAl-NN2006.pdfDocumento principal676,33 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID