Seminar: Perception and Sensemaking in Augmented Reality

Abstract:

As augmented reality (AR) matures, use cases show themselves and tools can be developed. In particular, how humans understand and perceive links between virtual objects is a cognitively intensive task that can leverage mixed reality (XR) to assist humans to make sense of large datasets. Immersive 3D space affords spreading out data artifacts and exploring them in ways that are not physically possible in the real world. In this talk, I explain how we both have evaluated and our continuing plans to evaluate our sensemaking approach, Immersive Space to Think, to understand how to better support foraging and extracting themes from larger datasets.

Biography:

Lee Lisle is a fifth-year PhD student in the CS department at Virginia Tech. His research specializes on issues with perception and immersive analytics in augmented reality.