Abstract
Online interactions have become an essential but understudied aspect of our social lives. The current research investigates self-view in video-based interactions, a key difference from face-to-face interactions. Using computer vision techniques for automated gaze analysis, we assessed the relative frequency with which individuals in online interactions gaze at themselves and investigated its links to personality characteristics. We hypothesized that self-referent gaze frequency may indicate participants’ public and private self-awareness and explored correlations with the Big Five and narcissism. We included trait and state measures from self- and other-reports. Surprisingly, self-referent gaze was not reliably related to these variables. We discuss the relevance of these findings for challenging common beliefs about the diagnostic value of self-referent gaze behavior in online interactions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
