Exergames, video games designed to blend entertainment with physical activity, aim to improve users’ physical fitness by combining gaming with exercise. However, integrating exercise equipment, such as rowers, bikes, and ski ergometers into Virtual Reality (VR) environments remains challenging. In this poster, we introduce a toolkit that simplifies the integration of ergometers into Unity-based projects. Researchers can access detailed ergometer data for logging and use inside their projects, while our toolkit handles tedious tasks, like connection-handling or parsing. VRow offers valuable support for creating immersive and interactive fitness experiences.

Research has proposed various interaction techniques to manage the occlusion of 3D data in Virtual Reality (VR), e.g., via gradual refinement. However, tracking dynamically moving data in a dense 3D environment poses the challenge of ever-changing occlusion, especially if motion carries relevant information, which is lost in still images. In this paper, we evaluated two interaction modalities for Spatial Dense Dynamic Data (SDDD), adapted from existing interaction methods for static and spatial data. We evaluated these modalities for exploring SDDD in VR, in an experiment with 18 participants. Furthermore, we investigated the influence of our interaction modalities on different levels of data density on the users’ performance in a no-knowledge task and a prior-knowledge task. Our results indicated significantly degraded performance for higher levels of density. Further, we found that our flashlight-inspired modality successfully improved tracking in SDDD, while a cutting plane-inspired approach was more suitable for highlighting static volumes of interest, particularly in such high-density environments.