Publications Database

Welcome to the new Schulich Peer-Reviewed Publication Database!

The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:

  • Faculty Member’s Name;
  • Area of Expertise;
  • Whether the Publication is Open-Access (free for public download);
  • Journal Name; and
  • Date Range.

At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.

If you have any questions or input, please don’t hesitate to get in touch.

 

Search Results

Charlotte De Sainte Maresville, Christine Petr, and Russell Belk (2026). "Emotional Intelligence and Facial Emotion Recognition from Static Freeze-Frame Images in a Simulated Video-Call Display", Journal of Marketing Communications, 1–20.

View Paper

Keywords
Abstract Digital displays increasingly shape how people perceive others in remote and computer-mediated settings, potentially altering access to facial emotional cues. When nonverbal information is constrained, individuals may rely on limited facial signals to infer affective meaning. This study examines whether emotional intelligence (EI) is associated with static facial emotion recognition accuracy in simulated video-call displays. Empirically, we used a single-shot forced-choice recognition task based on static freeze-frame screenshots presented in a video-call interface, without live interaction, dynamic video, audio cues, or turn-taking, thereby isolating a constrained perceptual component of emotion decoding. Using data from 154 participants who completed the Wong and Law Emotional Intelligence Scale alongside the task, results indicate that others’ emotion appraisal (OEA) is positively associated with decoding accuracy, whereas regulation of emotion (ROE), self-emotional appraisal (SEA), and use of emotion (UOE) are not reliably related to performance. Overall, EI accounts for only a small share of variance in static decoding accuracy. Taken together, the findings suggest that interpersonal appraisal abilities may be modestly relevant for static facial emotion decoding in reduced-cue digital displays and that EI plays a limited perceptual role in this paradigm, offering a starting point for future research using more dynamic and context-embedded designs.