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The ability to monitor audience reactions is critical when deliveringpresentations. However, current videoconferencing platforms offer limitedsolutions to support this. This work leverages recent advances in affectsensing to capture and facilitate communication of relevant audience signals.Using an exploratory survey (N = 175), we assessed the most relevant audienceresponses such as confusion, engagement, and head-nods. We then implementedAffectiveSpotlight, a Microsoft Teams bot that analyzes facial responses andhead gestures of audience members and dynamically spotlights the mostexpressive ones. In a within-subjects study with 14 groups (N = 117), weobserved that the system made presenters significantly more aware of theiraudience, speak for a longer period of time, and self-assess the quality oftheir talk more similarly to the audience members, compared to two controlconditions (randomly-selected spotlight and default platform UI). We providedesign recommendations for future affective interfaces for online presentationsbased on feedback from the study.

AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations