Social Sensing for Psychology

Autor:	Marianne Schmid Mast, Denise Frauendorfer, Laurent Son Nguyen, Daniel Gatica-Perez, Tanzeem Choudhury
Rok vydání:	2015
Předmět:	Nonverbal behavior Ubiquitous computing Ecological validity Human–computer interaction Research questions Psychology Social psychology General Psychology Machine perception Interpersonal behavior Field (computer science) Social relation
Zdroj:	Current Directions in Psychological Science. 24:154-160
ISSN:	1467-8721 0963-7214
DOI:	10.1177/0963721414560811
Popis:	In this article, we show how the use of state-of-the-art methods in computer science based on machine perception and learning allows the unobtrusive capture and automated analysis of interpersonal behavior in real time ( social sensing). Given the high ecological validity of the behavioral sensing, the ease of behavioral-cue extraction for large groups over long observation periods in the field, the possibility of investigating completely new research questions, and the ability to provide people with immediate feedback on behavior, social sensing will fundamentally impact psychology.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fdb0092ec5db7f6483e5b78ccfa4381c https://doi.org/10.1177/0963721414560811 Zobrazit plný text záznamu