Generative models for visualizing idiosyncratic impressions
Bibliographic Data
| ID | 5266426 |
|---|---|
| Authors | Antony Todorov (0000-0003-1271-6113, The University of Chicago Booth School of Business Chicago Illinois USA, corresponding author), Stefan Uddenberg (0000-0002-2689-3906, The University of Chicago Booth School of Business Chicago Illinois USA), Daniel N Albohn (0000-0002-7508-8831, University of Chicago), Daniel Albohn (The University of Chicago Booth School of Business Chicago Illinois USA) |
| Year | 2023 |
| Volume | 114 |
| Issue | 2 |
| Pages | 511-514 |
| Publication date | 2023-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Journal of Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0007-1269 • E-ISSN: 2044-8295 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/bjop.12622 |
| PMID | 36504382 |
| OpenAlex | W4311121241 |
| Language | EN |
| Citations received | 2 |
| References cited | 15 |
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
Cognitive psychology · Cognitive science · Field (mathematics) · Focus (optics) · Generative grammar · 3D Shape Modeling and Analysis · Artificial Intelligence · Computer Science · Face recognition and analysis · Image Retrieval and Classification Techniques · Psychology
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2024 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |