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Highlighting interventions and user differences: informing adaptive information visualization support.

, , , , , and . CHI, page 1835-1844. ACM, (2014)

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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)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)Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for Personalization., , , , and . UMAP, page 309-317. ACM, (2019)Modeling Motivation in a Social Network Game Using Player-Centric Traits and Personality Traits., , , and . UMAP, volume 9146 of Lecture Notes in Computer Science, page 18-30. Springer, (2015)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)A gaze-based experimenter platform for designing and evaluating adaptive interventions in information visualizations., , and . ETRA, page 60:1-60:3. ACM, (2019)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)Highlighting interventions and user differences: informing adaptive information visualization support., , , , , and . CHI, page 1835-1844. ACM, (2014)