Network edge data attributes are usually encoded using color, opacity, stroke thickness and stroke pattern, or some combination thereof. In addition to these static variables, it is also possible to animate dynamic particles flowing along the edges. This opens a larger design space of animated edge textures, featuring additional visual encodings that have potential not only in terms of visual mapping capacity but also playfulness and aesthetics. Such animated edge textures have been used in several commercial and design-oriented visualizations, but to our knowledge almost always in a relatively ad hoc manner. We introduce a design space and Web-based framework for generating animated edge textures, and report on an initial evaluation of particle properties - particle speed, pattern and frequency - in terms of visual perception.
|Title of host publication||ACM Conference on Human Factors in Computing Systems (CHI)|
|Number of pages||13|
|Publication status||Published - 21 Apr 2018|
|Event||CHI 2018 - Palais des Congrès de Montréal, Montreal, Canada|
Duration: 21 Apr 2018 → 26 Apr 2018
|Period||21/04/18 → 26/04/18|