Presentation Quality Assessment through Audience 3D Facial and Head Direction Using Conventional Cameras

This paper shows the method for evaluating the quality of presentations using information from the audience's facial and head behavior. Existing studies have focused on assessing presentation skills by analyzing presentation materials and the presenter's verbal and non-verbal cues, however, since a presentation is an interaction between the presenter and the audience, the presentation quality is not only influenced by presenter's information but also audience's information such as their background knowledge. This means that the presenter's output alone is not enough for a comprehensive evaluation of the presentation. To address this, we show a method that utilizes videos of the audience recorded during presentations using two cameras: one capturing from the presenter's point of view and the other from around the presentation screen. The 3D position and direction of the audience's face were detected using face detection techniques, which were then used to predict gaze targets, such as the presenter and the presentation screen. The number of times these targets were looked at during the presentation served as feature values for evaluating presentation quality. Using a dataset of 18 presenters and 32 audience members, this paper shows a significant correlation between subjective ratings and behavioral characteristics. It also demonstrates an algorithm that infers the quality of a presentation from these feature values.