1. What is Interaction for Data Visualization?
- Author
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Evanthia Dimara, Charles Perin, Institut des Systèmes Intelligents et de Robotique (ISIR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU), University of Victoria [Canada] (UVIC), and This project is financed by the ANR, with the reference ANR-16-CE33- 0023 (GESTURE).
- Subjects
Visual analytics ,Computer science ,interaction ,Context (language use) ,02 engineering and technology ,Interaction design ,Field (computer science) ,Information visualization ,Data visualization ,human-computer interaction ,Human–computer interaction ,0202 electrical engineering, electronic engineering, information engineering ,definition ,0501 psychology and cognitive sciences ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,visualization ,050107 human factors ,business.industry ,05 social sciences ,Scientific visualization ,020207 software engineering ,Computer Graphics and Computer-Aided Design ,Visualization ,data ,Signal Processing ,Computer Vision and Pattern Recognition ,business ,Software - Abstract
International audience; Interaction is fundamental to data visualization, but what "interaction" means in the context of visualization is ambiguous and confusing. We argue that this confusion is due to a lack of consensual definition. To tackle this problem, we start by synthesizing an inclusive view of interaction in the visualization community-including insights from information visualization, visual analytics and scientific visualization, as well as the input of both senior and junior visualization researchers. Once this view takes shape, we look at how interaction is defined in the field of human-computer interaction (HCI). By extracting commonalities and differences between the views of interaction in visualization and in HCI, we synthesize a definition of interaction for visualization. Our definition is meant to be a thinking tool and inspire novel and bolder interaction design practices. We hope that by better understanding what interaction in visualization is and what it can be, we will enrich the quality of interaction in visualization systems and empower those who use them.
- Published
- 2020
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