18 research outputs found

    Interaction for Immersive Analytics

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    International audienceIn this chapter, we briefly review the development of natural user interfaces and discuss their role in providing human-computer interaction that is immersive in various ways. Then we examine some opportunities for how these technologies might be used to better support data analysis tasks. Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are already archetypal. Finally, we look at some emerging system designs that suggest future directions

    Desmond GERMANS

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    We present the CAVEStudy system that enables scientists to interactively steer a simulation from a virtual reality (VR) environment. No modification to the source code is necessary. CAVEStudy allows interactive and immersive analysis of a simulation running on a remote computer. Using a high-level description of the simulation, the system generates the communication layer (based on CAVERN-Soft) needed to control the execution and to gather data at runtime. We describe three case-studies implemented with CAVEStudy: soccer simulation, diode laser simulation, and molecular dynamics. 1

    CAVEStudy: an Infrastructure for Computational Steering in Virtual Reality Environments

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    We present the CAVEStudy system that enables scientists to interactively steer a simulation from a virtual reality (VR) environment. No modification to the source code is necessary. CAVEStudy allows interactive and immersive analysis of a simulation running on a remote computer. We describe three case-studies implemented with CAVEStudy

    Real-time Interaction in VR with a Distributed Multi-Agent System

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    We describe a Virtual Reality system that allows users at different locations to interact with a distributed multiagent system. We use RoboCup (robot soccer) as a case study. A human player who is immersed in a CAVE can interact with the RoboCup simulation in its natural domain, by playing along with a virtual soccer game. The system supports distributed collaboration by allowing humans at different geographic locations to participate and interact in real time. The most difficult problem we address is how to deal with the latency that is induced by the multi-agent simulation and by the wide-area network between different CAVEs. Our navigation software anticipates the movements of the human player and optimizes the interaction (navigation, kicking). Also, it sends a minimal amount of state information over the wide-area network. 1. Introduction Multi-agent systems are becoming increasingly important in our society. The majority of such systems is in some way related to Internet applic..
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