Affect Infusion and Detection through Faces in Computer-mediated Knowledge-sharing Decisions
Journal of the Association for Information Systems · 2017 · Volume 18 · Issue 10
Abstract
Faces are important in both human communication and computer-mediated communication. In this study, I analyze the influence of emotional expressions in faces on knowledge-sharing decisions in a computer-mediated environment. I suggest that faces can be used for affect infusion and affect detection, which increases the effectiveness of knowledge-management systems. Using the affect infusion model, I discuss why emotions can be expected to influence knowledge-sharing decisions. Using the two-step primitive emotional contagion framework, I found that emotional facial expression attached to a knowledge-sharing request influenced knowledge-sharing decisions. This influence was mediated by the decision maker’s emotional valence in the facial expression tracked by Face Reader technology and held for females but not males. I discuss implications for designers of emotionally intelligent information systems and research.
Keywords
Face Reader, Affect Infusion, Affect Detection, Knowledge Sharing, Eye Tracking
Enable JavaScript for citation tools and additional paper interactions.