Data-driven approaches in the investigation of social perception

Ralph Adolphs*, Lauri Nummenmaa, Alexander Todorov, James V. Haxby

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

33 Sitaatiot (Scopus)

Abstrakti

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 eye tracking studies in autism. We conclude with suggestions for particular topics that seem ripe for data-driven approaches, as well as caveats and limitations.

AlkuperäiskieliEnglanti
JulkaisuPHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B: BIOLOGICAL SCIENCES
Vuosikerta371
Numero1693
DOI - pysyväislinkit
TilaJulkaistu - toukokuuta 2016
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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