In: 25th Signal Processing and Communications Applications Conference (SIU), pp. Ayvaz, U., Gürüler, H.: Real-time detection of students’ emotional states in the classroom.Further work is needed to identify visual stimuli that are best fitted for recapturing attention without irritating those already focused on the presentation. However, the visual effects used in this pilot study have been partly perceived by the audience.
First results show that motion complexity can indeed be a good indicator of distractions and low-level visual overlays can lead to a higher perceived level of agitation. In a pilot study with 14 participants, we tested the feasibility of this approach with a simplified version of the system, limiting stimuli to red colored overlays up to an opacity of 20%. Ideally, these dynamically adapted visual overlays can be detected in the peripheral field of view but not in the foveal field of view. It then applies low-level visual overlays over presentations if the estimated level of attention is getting too low. The system uses a measure of motion complexity inside the audience area as an estimate for overall attention. In this paper, we propose a system that supports presenters in a nearly subliminal way to regain attention of the overall audience.
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In a world full of distractions, keeping an audience focused on a presentation is getting increasingly difficult.