Generative models for visualizing idiosyncratic impressions

Alexander Todorov; Stefan Uddenberg; Daniel Albohn

doi:10.1111/bjop.12622

Generative models for visualizing idiosyncratic impressions

Alexander Todorov, Stefan Uddenberg, Daniel Albohn

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

In their comprehensive review of research on impressions from faces, Sutherland and Young (this issue) highlight both the remarkable progress and the many challenges facing the field. We focus on two of the challenges: the need for generative, powerful models of impressions and the idiosyncratic nature of complex impressions.

Original language	English (US)
Pages (from-to)	511-514
Number of pages	4
Journal	British Journal of Psychology
Volume	114
Issue number	2
Early online date	Dec 11 2022
DOIs	https://doi.org/10.1111/bjop.12622
State	Published - May 2023
Externally published	Yes

Keywords

data-driven methods
faces
idiosyncratic differences
impressions

ASJC Scopus subject areas

General Psychology

Online availability

10.1111/bjop.12622

Library availability

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title = "Generative models for visualizing idiosyncratic impressions",

abstract = "In their comprehensive review of research on impressions from faces, Sutherland and Young (this issue) highlight both the remarkable progress and the many challenges facing the field. We focus on two of the challenges: the need for generative, powerful models of impressions and the idiosyncratic nature of complex impressions.",

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Generative models for visualizing idiosyncratic impressions

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

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