
Abstract Measuring attention and engagement is essential for understanding a wide range of psychological phenomena. Advances in technology have made it possible to measure real-time attention to naturalistic stimuli, providing ecologically valid insight into temporal dynamics. We developed a research protocol called Trace, which records anonymous facial landmarks, expressions, and patterns of movement associated with engagement in screen-based media. Trace runs in a standard internet browser and resembles a contemporary media player. It is embedded in the open-source package PsychoJS (the JavaScript sister library of PsychoPy) hosted via Pavlovia, and can be integrated with a wide range of behavioral research methods. Developed over multiple iterations and tested with over 200 participants in three studies, including the official broadcast of a major theatre production, Trace is a powerful, user-friendly protocol allowing behavioral researchers to capture audience attention and engagement in screen-based media as part of authentic, ecologically valid audience experiences.
Male, Adult, Engagement, 070, Face tracking, Original Manuscript, Facial Expression, Young Adult, Humans, Attention, Female, Audiences, Software, Research application, Behavioral Research
Male, Adult, Engagement, 070, Face tracking, Original Manuscript, Facial Expression, Young Adult, Humans, Attention, Female, Audiences, Software, Research application, Behavioral Research
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