A2 Refereed review article in a scientific journal
Data-driven approaches in the investigation of social perception
Authors: Adolphs R, Nummenmaa L, Todorov A, Haxby JV
Publisher: ROYAL SOC
Publication year: 2016
Journal: Philosophical Transactions B: Biological Sciences
Journal name in source: PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Journal acronym: PHILOS T R SOC B
Article number: ARTN 20150367
Volume: 371
Issue: 1693
Number of pages: 10
ISSN: 0962-8436
DOI: https://doi.org/10.1098/rstb.2015.0367
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 data sets, 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.
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 data sets, 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.
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