• 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