DocumentCode :
77921
Title :
Signal Processing in the Workplace [Social Sciences]
Author :
Gatica-Perez, D.
Volume :
32
Issue :
1
fYear :
2015
fDate :
Jan. 2015
Firstpage :
121
Lastpage :
125
Abstract :
In this paper, a framework developed with collaborators in organizational psychology is described, aimed at inferring high-level constructs of interest in the workplace from nonverbal behavior. We summarize our experience tackling two tasks: identifying emergent leaders in small groups and assessing the hirability of candidates in employment interviews. The examples discussed in this paper have been recorded in a standard lab setting [9], in which sensors are fixed in a specific environment that volunteer participants have to visit, but also in moderately in-the-wild settings, where a portable sensing solution has been used to bring participants to quiet indoor environments for recordings [5], which gives flexibility for volunteer recruits.
Keywords :
employment; feature extraction; industrial psychology; learning (artificial intelligence); employment interviews; feature extraction; machine learning; organizational psychology; portable sensing solution; quiet indoor environments; signal processing; workplace; Employment; Feature extraction; Interviews; Psychology; Sensors;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2014.2359247
Filename :
6975292
Link To Document :
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