Social sensing for psychology: Automated interpersonal behavior assessment


Autoria(s): Schmid Mast M.; Gatica-Perez D.; Frauendorfer D.; Nguyen L.; Choudhury T.
Data(s)

2015

Resumo

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.

Identificador

https://serval.unil.ch/?id=serval:BIB_009937FA764B

isbn:0963-7214

http://www.researchgate.net/publication/275223620_Social_Sensing_for_Psychology_Automated_Interpersonal_Behavior_Assessment

doi:10.1177/0963721414560811

Idioma(s)

en

Fonte

Current Directions in Psychological Science, vol. 24, no. 2, pp. 154-160

Tipo

info:eu-repo/semantics/article

article