Evaluating Situated Visualization in AR with Eye Tracking
September 05, 2022 Β· Declared Dead Β· π Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization
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Authors
Kuno Kurzhals, Michael Becher, Nelusa Pathmanathan, Guido Reina
arXiv ID
2209.01846
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.GR
Citations
10
Venue
Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization
Last Checked
4 months ago
Abstract
Augmented reality (AR) technology provides means for embedding visualization in a real-world context. Such techniques allow situated analyses of live data in their spatial domain. However, as existing techniques have to be adapted for this context and new approaches will be developed, the evaluation thereof poses new challenges for researchers. Apart from established performance measures, eye tracking has proven to be a valuable means to assess visualizations qualitatively and quantitatively. We discuss the challenges and opportunities of eye tracking for the evaluation of situated visualizations. We envision that an extension of gaze-based evaluation methodology into this field will provide new insights on how people perceive and interact with visualizations in augmented reality.
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