Facing Forward: Policy for Automated Facial Expression Analysis

Authors

Jeffrey K. Mullins, University of ArkansasFollow
Patrick A. Stewart, University of ArkansasFollow
Thomas J. Greitens, Central Michigan UniversityFollow

Abstract

The human face is a powerful tool for nonverbal communication. Technological advances have enabled widespread and low-cost deployment of video capture and facial recognition systems, opening the door for automated facial expression analysis (AFEA). This paper summarizes current challenges to the reliability of AFEA systems and challenges that could arise as a result of reliable AFEA systems. The potential benefits of AFEA are considerable, but developers, prospective users, and policy makers should proceed with caution.

Recommended Citation

Mullins, Jeffrey K.; Stewart, Patrick A.; and Greitens, Thomas J. (2022) "Facing Forward: Policy for Automated Facial Expression Analysis," Journal of the Association for Information Systems, 23(6), 1347-1353.
DOI: 10.17705/1jais.00788
Available at: https://aisel.aisnet.org/jais/vol23/iss6/10

DOI

10.17705/1jais.00788