Selection of Expanded Data Points in Immersive Analytics

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Abstract

We propose a novel technique to facilitate the selection of data points, a type of data representation we often work with in immersive analytics. We designed and implemented this technique based on the expansion of data points following Fitt's law. A user study was conducted in an headset-based augmented reality environment. The results significantly highlight the performance of our technique in helping the user select data points and their subjective appreciation in working with the expendable data points.

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Ouedraogo, I., Nguyen, H., & Bourdot, P. (2022). Selection of Expanded Data Points in Immersive Analytics. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST. Association for Computing Machinery. https://doi.org/10.1145/3562939.3565645

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