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User-Adaptive Visualizations: Can Gaze Data Tell Us When a User Needs Them?

, , , , , and . Scalable Integration of Analytics and Visualization, volume WS-11-17 of AAAI Technical Report, AAAI, (2011)

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Prediction of Users' Learning Curves for Adaptation While Using an Information Visualization, , , and . Proceedings of the 20th International Conference on Intelligent User Interfaces, page 357--368. New York, NY, USA, ACM, (2015)Towards Adaptive Information Visualization: On the Influence of User Characteristics., , , and . UMAP, volume 7379 of Lecture Notes in Computer Science, page 274-285. Springer, (2012)Te, Te, Hi, Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations., , , , and . UMAP, volume 8538 of Lecture Notes in Computer Science, page 183-194. Springer, (2014)Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for Personalization., , , , and . UMAP, page 309-317. ACM, (2019)Eye Tracking to Understand User Differences in Visualization Processing with Highlighting Interventions., and . UMAP, volume 8538 of Lecture Notes in Computer Science, page 219-230. Springer, (2014)User-adaptive Support for Processing Magazine Style Narrative Visualizations: Identifying User Characteristics that Matter., , and . IUI, page 199-204. ACM, (2018)Towards facilitating user skill acquisition: identifying untrained visualization users through eye tracking., , , , and . IUI, page 105-114. ACM, (2014)Individual user characteristics and information visualization: connecting the dots through eye tracking., , , and . CHI, page 295-304. ACM, (2013)Leveraging Pupil Dilation Measures for Understanding Users' Cognitive Load During Visualization Processing., and . UMAP (Adjunct Publication), page 267-270. ACM, (2017)The effect of user characteristics in time series visualizations, , , , and . Proceedings of the 25th International Conference on Intelligent User Interfaces, ACM, (March 2020)