Speaker-story mapping as a method to evaluate audiovisual scene analysis in a virtual classroom scenario

Abstract

'Janina Fels' 'Alexander Raake'] This study explores how audiovisual immersive virtual environments (IVEs) can assess cognitive performance in classroom-like settings, addressing limitations in simpler acoustic and visual representations. This study examines the potential of a test paradigm using speaker-story mapping, called “audiovisual scene analysis (AV-SA),” originally developed for virtual reality (VR) hearing research, as a method to evaluate audiovisual scene analysis in a virtual classroom scenario. Factors affecting acoustic and visual scene representation were varied to investigate their impact on audiovisual scene analysis. Two acoustic representations were used: a simple “diotic” presentation where the same signal is presented to both ears, as well as a dynamically live-rendered binaural synthesis (“binaural”). Two visual representations were used: 360°/omnidirectional video with intrinsic lip-sync and computer-generated imagery (CGI) without lip-sync. Three subjective experiments were conducted with different combinations of the two acoustic and visual conditions: The first experiment, involving 36 participants, used 360° video with “binaural” audio. The second experiment, with 24 participants, combined 360° video with “diotic” audio. The third experiment, with 34 participants, used the CGI environment with “binaural” audio. Each environment presented 20 different speakers in a classroom-like circle of 20 chairs, with the number of simultaneously active speakers ranging from 2 to 10, while the remaining speakers kept silent and were always shown. During the experiments, the subjects' task was to correctly map the stories' topics to the corresponding speakers. The primary dependent variable was the number of correct assignments during a fixed period of 2 min, followed by two questionnaires on mental load after each trial. In addition, before and/or after the experiments, subjects needed to complete questionnaires about simulator sickness, noise sensitivity, and presence.