Abstract
Interactive applications are powerful tools for data exploration, visualization and collaboration. Applications featuring viewports are particularly expressive, offering controls for altering perspective by scrolling, panning, zooming or tilting a view. Still, interactivity is inherently live and manual, and often limited to a single interface. We propose to model interactivity as a data source. This way, interactivity may be transmitted from one interface to another, or broadcasted to a distributed audience. Interactivity could also be created or edited by AI-based algorithms, recorded from manual input, stored and made available for on demand playback, or shared in real-time in a multi-view setup or among collaborators in a group. To facilitate such opportunities, we propose State Trajectory, a unifying concept for local and online interactivity. State trajectories extend regular program variables with a temporal dimension and provide built-in support for persistence, real-time sharing, time-consistent recording and playback, and gradual transitions. A concept implementation demonstrates that state trajectories encapsulate significant complexity, yet with a low performance overhead. Using trajectories, support for real-time collaboration and time-shifted replays could be added to a 3’rd party map framework, with minimal modifications to the existing code base.
This research is funded in part by the Research Council of Norway, grant number 323302 (STIPINST) and grant number 309339 (MediaFutures).
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Arntzen, I.M., Borch, N.T., Andersen, A. (2023). State Trajectory. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2023, Volume 2. FTC 2023. Lecture Notes in Networks and Systems, vol 814. Springer, Cham. https://doi.org/10.1007/978-3-031-47451-4_1
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DOI: https://doi.org/10.1007/978-3-031-47451-4_1
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