SwiVR-Car-Seat: Exploring Vehicle Motion Effects on Interaction Quality in Virtual Reality Automated Driving Using a Motorized Swivel Seat
Mark Colley, Pascal Jansen, Enrico Rukzio, Jan Gugenheimer
Abstract
Autonomous vehicles provide new input modalities to improve interaction with in-vehicle information systems. However, due to the road and driving conditions, the user input can be perturbed, resulting in reduced interaction quality. One challenge is assessing the vehicle motion effects on the interaction without an expensive high-fidelity simulator or a real vehicle. This work presents SwiVR-Car-Seat, a low-cost swivel seat to simulate vehicle motion using rotation. In an exploratory user study (N=18), participants sat in a virtual autonomous vehicle and performed interaction tasks using the input modalities touch, gesture, gaze, or speech. Results show that the simulation increased the perceived realism of vehicle motion in virtual reality and the feeling of presence. Task performance was not influenced uniformly across modalities; gesture and gaze were negatively affected while there was little impact on touch and speech. The findings can advise automotive user interface design to mitigate the adverse effects of vehicle motion on the interaction.
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Install the CLIlune papers fulltext e906f6f2-f555-46db-ab89-772371097179Cited by top-tier papers15
- Effects of Scene Detection, Scene Prediction, and Maneuver Planning Visualizations on Trust, Situation Awareness, and Cognitive Load in Highly Automated VehiclesMark Colley, Max Rädler, Jonas Glimmann, Enrico RukzioUbiComp 2022 · 66 citations
- A Design Space for Human Sensor and Actuator Focused In-Vehicle Interaction Based on a Systematic Literature ReviewPascal Jansen, Mark Colley, Enrico RukzioUbiComp 2022 · 44 citations
- AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction StudiesPascal Jansen, Julian Britten, Alexander Häusele, Thilo Segschneider et al.CHI 2023 · 38 citations
- Effects of Uncertain Trajectory Prediction Visualization in Highly Automated Vehicles on Trust, Situation Awareness, and Cognitive LoadMark Colley, Oliver Speidel, Jan Strohbeck, Jan Ole Rixen et al.UbiComp 2024 · 20 citations
- OptiCarVis: Improving Automated Vehicle Functionality Visualizations Using Bayesian Optimization to Enhance User ExperiencePascal Jansen, Mark Colley, Svenja Krauß, Daniel Hirschle et al.CHI 2025 · 19 citations
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