Literature DB >> 29126772

Data-Driven Methods to Diversify Knowledge of Human Psychology.

Rachael E Jack1, Carlos Crivelli2, Thalia Wheatley3.   

Abstract

Psychology aims to understand real human behavior. However, cultural biases in the scientific process can constrain knowledge. We describe here how data-driven methods can relax these constraints to reveal new insights that theories can overlook. To advance knowledge we advocate a symbiotic approach that better combines data-driven methods with theory.
Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  cultural psychology; data-driven methods; diversity; generalizability; human universals

Mesh：

Year:  2017        PMID： 29126772     DOI： 10.1016/j.tics.2017.10.002

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN： 1364-6613            Impact factor:   20.229


  8 in total

Review 1.  Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements.

Authors:  Lisa Feldman Barrett; Ralph Adolphs; Stacy Marsella; Aleix M Martinez; Seth D Pollak
Journal:  Psychol Sci Public Interest       Date:  2019-07

2.  Clarifying the Conceptualization, Dimensionality, and Structure of Emotion: Response to Barrett and Colleagues.

Authors:  Alan S Cowen; Dacher Keltner
Journal:  Trends Cogn Sci       Date:  2018-02-21       Impact factor: 20.229

3.  Machine Learning based Psychology: Advocating for A Data-Driven Approach.

Authors:  Jorge I Vélez
Journal:  Int J Psychol Res (Medellin)       Date:  2021 Jan-Jun

4.  Culture modulates face scanning during dyadic social interactions.

Authors:  Jennifer X Haensel; Matthew Danvers; Mitsuhiko Ishikawa; Shoji Itakura; Raffaele Tucciarelli; Tim J Smith; Atsushi Senju
Journal:  Sci Rep       Date:  2020-02-06       Impact factor: 4.379

5.  Maternal childhood trauma and perinatal distress are related to infants' focused attention from 6 to 18 months.

Authors:  Hsing-Fen Tu; Alkistis Skalkidou; Marcus Lindskog; Gustaf Gredebäck
Journal:  Sci Rep       Date:  2021-12-17       Impact factor: 4.379

6.  Modeling individual preferences reveals that face beauty is not universally perceived across cultures.

Authors:  Jiayu Zhan; Meng Liu; Oliver G B Garrod; Christoph Daube; Robin A A Ince; Rachael E Jack; Philippe G Schyns
Journal:  Curr Biol       Date:  2021-04-01       Impact factor: 10.834

7.  Judgements of a speaker's personality are correlated across differing content and stimulus type.

Authors:  Gaby Mahrholz; Pascal Belin; Phil McAleer
Journal:  PLoS One       Date:  2018-10-04       Impact factor: 3.240

8.  Distinct facial expressions represent pain and pleasure across cultures.

Authors:  Chaona Chen; Carlos Crivelli; Oliver G B Garrod; Philippe G Schyns; José-Miguel Fernández-Dols; Rachael E Jack
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-08       Impact factor: 11.205
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.