Irene de la Torre - Arenas
ABSTRACT
We propose a new taxonomy that explains the roles of motion in data visualization, focusing especially on their communicative aspects. Our taxonomy clarifies the main axis in how visualization designers can employ motion in data portrayal.
- Lyn Bartram. 1997. Perceptual and Interpretative Properties of Motion for Information Visualization. In Proceedings of the 1997 Workshop on New Paradigms in Information Visualization and Manipulation (NPIV '97). ACM, New York, NY, USA, 3--7. Google Scholar
Digital Library
- L. Bartram and A. Nakatani. 2010. What Makes Motion Meaningful? Affective Properties of Abstract Motion. In 2010 Fourth Pacific-Rim Symposium on Image and Video Technology. 468--474. Google ScholarDigital Library
- Lyn Bartram and Colin Ware. 2002. Filtering and Brushing with Motion. Information Visualization 1, 1 (March 2002), 66--79. Google ScholarDigital Library
- Linda Ruth Bartram. 2001. Enhancing Information Visualization with Motion. Ph.D. Dissertation. Simon Fraser University.Google Scholar
- Jacques Bertin. 1983. Semiology of graphics: diagrams, networks, maps. University of Wisconsin Press.Google Scholar
- Jeffrey Heer and George Robertson. 2007. Animated Transitions in Statistical Data Graphics. IEEE Transactions on Visualization and Computer Graphics 13, 6 (Nov. 2007), 1240--1247. Google ScholarDigital Library
- Weiyin Hong, James Y. L. Thong, and Kar Yan Tam. 2004. Does Animation Attract Online Users' Attention? The Effects of Flash on Information Search Performance and Perceptions. Info. Sys. Research 15, 1 (March 2004), 60--86. Google ScholarDigital Library
- Chien-Hsin Hsueh, Jia-Kai Chou, and Kwan-Liu Ma. 2016. A Study of using Motion for Comparative Visualization. In 2016 IEEE Pacific Visualization Symposium (PacificVis). 219âĂŞ223.Google ScholarCross Ref
- Ken Nakayama and Gerald H. Silverman. 1986. Serial and parallel processing of visual feature conjunctions. Nature 320, 6059 (03 1986), 264--265.Google Scholar
- George Robertson, Roland Fernandez, Danyel Fisher, Bongshin Lee, and John Stasko. 2008. Effectiveness of Animation in Trend Visualization. IEEE Transactions on Visualization and Computer Graphics 14, 6 (Nov. 2008), 1325--1332. Google ScholarDigital Library
- Hans Wallach. 1965. Visual Perception of Mtion. In The Nature and Art of Motion, G. Kepes (Ed.). Studio Vista, 52--59.Google Scholar
- Colin Ware. 1996. Moving Motion Metaphors. In Conference Companion on Human Factors in Computing Systems (CHI '96). ACM, New York, NY, USA, 225--226. Google ScholarDigital Library
- Colin Ware. 2012. Information Visualization: Perception for Design. Morgan Kaufmann.Google Scholar
- Colin Ware and Robert Bobrow. 2004. Motion to Support Rapid Interactive Queries on Node-link Diagrams. ACM Trans. Appl. Percept. 1, 1 (July 2004), 3--18. Google ScholarDigital Library
- Colin Ware and Rusty Bobrow. 2006. Motion Coding for Pattern Detection. In Proceedings of the 3rd Symposium on Applied Perception in Graphics and Visualization (APGV '06). ACM, New York, NY, USA, 107--110. Google ScholarDigital Library
- David D. Woods. 1995. The alarm problem and directed attention in dynamic fault management. Ergonomics 38, 11 (1995), 2371--2393. Google ScholarCross Ref
- Ping Zhang. 2000. The Effects of Animation on Information Seeking Performance on the World Wide Web: Securing Attention or Interfering with Primary Tasks? J. AIS 1, 1es, Article 1 (March 2000). http://dl.acm.org/citation.cfm?id=374126.374128Google Scholar
Index Terms
- A taxonomy of motion applications in data visualization
Recommendations
A taxonomy of motion applications in data visualization
CAE '17: Proceedings of the symposium on Computational AestheticsWe propose a new taxonomy that explains the roles of motion in data visualization, focusing especially on their communicative aspects. Our taxonomy clarifies the main axis in how visualization designers can employ motion in data portrayal.
A taxonomy of motion applications in data visualization
NPAR '17: Proceedings of the Symposium on Non-Photorealistic Animation and RenderingWe propose a new taxonomy that explains the roles of motion in data visualization, focusing especially on their communicative aspects. Our taxonomy clarifies the main axis in how visualization designers can employ motion in data portrayal.
Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data
We present an interactive framework for exploring space-time and form-function relationships in experimentally collected high-resolution biomechanical data sets. These data describe complex 3D motions (e.g. chewing, walking, flying) performed by animals ...
Comments