A Demonstration of AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction Studies
Pascal Jansen, Julian Britten, Alexander Häusele, Thilo Segschneider, Mark Colley, Enrico Rukzio · 2023
In this demonstration, we present novel interaction modalities and use cases for AutoVis, a tool for the mixed-immersive analysis of automotive user interface (AUI) interaction studies. AutoVis uniquely enables exploration of AUI studies’ multilayered spatio-temporal interplay between humans, vehicles, and their surroundings by combining a non-immersive desktop view with a virtual reality view. It facilitates the analysis of passenger behavior, physiology, spatial interactions, and events within replications of study environments, employing avatars, trajectories, and heatmaps. To extend AutoVis and streamline interactions with it, we created a novel concept for gaze and gesture-supported analysis control. In addition, we conducted an exemplary use case study in the context of traffic accident reconstructions to explore the applicability of AutoVis apart from AUIs. By demonstrating these extensions, we contribute to the underexplored area of immersive analytics for AUIs and promote a more efficient and effective understanding of human-vehicle interaction.