The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Prediction in Joint Action: What, When, and Where
Open accessAbstract
Drawing on recent findings in the cognitive and neurosciences, this article discusses how people manage to predict each other’s actions, which is fundamental for joint action. We explore how a common coding of perceived and performed actions may allow actors to predict the what, when, and where of others’ actions. The “what” aspect refers to predictions about the kind of action the other will perform and to the intention that drives the action. The “when” aspect is critical for all joint actions requiring close temporal coordination. The “where” aspect is important for the online coordination of actions because actors need to effectively distribute a common space. We argue that although common coding of perceived and performed actions alone is not sufficient to enable one to engage in joint action, it provides a representational platform for integrating the actions of self and other. The final part of the paper considers links between lower‐level processes like action simulation and higher‐level processes like verbal communication and mental state attribution that have previously been at the focus of joint action research.
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Cites
Rizzolatti, G., & Craighero, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144230 · Cited by 7,433
Gumperz, J. J. (1982) · doi:10.1017/cbo9780511611834 · Cited by 5,861
Cattaneo, L., & Rizzolatti, G. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.41 · Cited by 3,137
Perception and Action Planning
Prinz, W. (1997) · European Journal of Cognitive Psychology · doi:10.1080/713752551 · Cited by 2,013
How a Cockpit Remembers Its Speeds
Hutchins, E. (1995) · Cognitive Science · doi:10.1207/s15516709cog1903_1 · Cited by 1,880
Hearing Sounds, Understanding Actions: Action Representation in Mirror Neurons
Kohler, E., Keysers, C., Umiltà, M. A., Fogassi, L., Gallese, V., & Rizzolatti, G. (2002) · Science · doi:10.1126/science.1070311 · Cited by 1,801
Rocking together: Dynamics of intentional and unintentional interpersonal coordination
Richardson, M. J., Marsh, K. L., Isenhower, R. W., Goodman, J. R. L., & Schmidt, R. C. (2007) · Human Movement Science · doi:10.1016/j.humov.2007.07.002 · Cited by 796
A Common Coding Approach to Perception and Action
Prinz, W. (1990) · Relationships Between Perception and Action · doi:10.1007/978-3-642-75348-0_7 · Cited by 751
Motor activation prior to observation of a predicted movement
Kilner, J. M., Vargas, C., Duval, S., Blakemore, S.-J., & Sirigu, A. (2004) · Nature Neuroscience · doi:10.1038/nn1355 · Cited by 406
Social coordination dynamics: measuring human bonding.
Oullier, O., de Guzman, G. C., Jantzen, K. J., Lagarde, J., & Scott Kelso, J. A. (2008) · Social Neuroscience · doi:10.1080/17470910701563392 · Cited by 404
Cited by
An integrated theory of language production and comprehension
Pickering, M. J., & Garrod, S. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12001495 · Cited by 1,569
The Antecedents and Consequences of Human Behavioral Mimicry
Chartrand, T. L., & Lakin, J. L. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143754 · Cited by 662
Embodied attention and word learning by toddlers
Yu, C., & Smith, L. B. (2012) · Cognition · doi:10.1016/j.cognition.2012.06.016 · Cited by 502
Cooke, N. J., Gorman, J. C., Myers, C. W., & Duran, J. L. (2013) · Cognitive Science · doi:10.1111/cogs.12009 · Cited by 522
Four central questions about prediction in language processing
Huettig, F. (2015) · Brain Research · doi:10.1016/j.brainres.2015.02.014 · Cited by 405
Metadata
- Authors
- Sebanz, N., & Knoblich, G.
- Venue
- Topics in Cognitive Science
- Publisher
- Wiley
- Published
- 2009-04
- Volume
- 1
- Issue
- 2
- Pages
- 353-367
- ISSN
- 1756-8757 (ISSN-L)
- 1756-8765
- OpenAlex
- W2117843795
- Cited by
- 569
- References
- 11
- FWCI
- 34.13
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
