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Data-driven approaches in the investigation of social perception

Adolphs, Ralph and Nummenmaa, Lauri and Todorov, Alexander and Haxby, James V. (2016) Data-driven approaches in the investigation of social perception. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 371 (1693). Art. No. 20150367. ISSN 0962-8436. PMCID PMC4843606. https://resolver.caltech.edu/CaltechAUTHORS:20160418-112316678

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Abstract

The complexity of social perception poses a challenge to traditional approaches to understand its psychological and neurobiological underpinnings. Data-driven methods are particularly well suited to tackling the often high-dimensional nature of stimulus spaces and of neural representations that characterize social perception. Such methods are more exploratory, capitalize on rich and large datasets, and attempt to discover patterns often without strict hypothesis testing. We present four case studies here: behavioural studies on face judgements, two neuroimaging studies of movies, and eyetracking studies in autism. We conclude with suggestions for particular topics that seem ripe for data-driven approaches, as well as caveats and limitations.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1098/rstb.2015.0367DOIArticle
http://rstb.royalsocietypublishing.org/content/371/1693/20150367PublisherArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843606/PubMed CentralArticle
ORCID:
AuthorORCID
Adolphs, Ralph0000-0002-8053-9692
Additional Information:© 2016 The Author(s). Published by the Royal Society. Accepted: 25 January 2016; Published 11 April 2016. One contribution of 15 to a theme issue ‘Attending to and neglecting people. L.N. is supported by The Academy of Finland (MIND program grant 265917) and European Research Council (starting grant no. 313000). R.A. is supported by the National Institute of Mental Health (Conte Center grant). We thank Riitta Hari, local students in Finland, and the Attention and Performance series board for helping organize the conference on which this paper is based. Authors’ contributions. All authors contributed equally. We have no competing interests.
Funders:
Funding AgencyGrant Number
Academy of Finland265917
European Research Council (ERC)313000
National Institute of Mental Health (NIMH)UNSPECIFIED
NIHUNSPECIFIED
Subject Keywords:social neuroscience, social perception, ecological validity, intersubject brain correlation, face space
Issue or Number:1693
PubMed Central ID:PMC4843606
Record Number:CaltechAUTHORS:20160418-112316678
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160418-112316678
Official Citation:Adolphs R, Nummenmaa L, Todorov A, Haxby JV. 2016 Data-driven approaches in the investigation of social perception. Phil. Trans. R. Soc. B 371:20150367. http://dx.doi.org/10.1098/rstb.2015.0367
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:66243
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:18 Apr 2016 18:41
Last Modified:03 Oct 2019 09:54

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