The power of fear: Facial emotion analysis of CEOs to forecast firm performance

Yanjia Sun, Ali N. Akansu, James E. Cicon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

We present a framework to predict the firm performance based on CEO's facial emotion dynamics during video interviews. This is a challenging pattern recognition problem that involves robust detection of various emotional expressions in the uncontrolled environment and classification of spontaneous spatio-temporal data with different personal and biological signature traits. We assess the reliability of outcomes that result from the classification through noise suppression and information maximization with correlation analysis. The experimental results show the strong and positive reaction of firm performance merely to CEO's Fear emotion. We analyze the determinants that affect Fear emotion and find that Fear is more in newer CEO, and is more when CEO has less control over the board of the firm. These findings may contribute to prediction of the market value of firms and actions taken on effective investment.

Original languageEnglish (US)
Title of host publicationProceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014
EditorsElisa Bertino, Bhavani Thuraisingham, Ling Liu, James Joshi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages695-702
Number of pages8
ISBN (Electronic)9781479958801
DOIs
StatePublished - Feb 27 2014
Event15th IEEE International Conference on Information Reuse and Integration, IEEE IRI 2014 - San Francisco, United States
Duration: Aug 13 2014Aug 15 2014

Publication series

NameProceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014

Other

Other15th IEEE International Conference on Information Reuse and Integration, IEEE IRI 2014
CountryUnited States
CitySan Francisco
Period8/13/148/15/14

All Science Journal Classification (ASJC) codes

  • Information Systems

Keywords

  • Automatic facial expression recognition
  • Chief Executive Officer
  • Human-computer interaction
  • Multiple regression model

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