Beyond Data
Abstract Motionscapes as Affective Visualization
Bibliographic Data
| ID | 10261264 |
|---|---|
| Authors | Chao Feng (0000-0003-2327-1981, Simon Fraser University, corresponding author), Lyn Bartram (0000-0002-7302-7365, Simon Fraser University, corresponding author), Diane Gromala (0000-0002-7737-9173, Simon Fraser University, corresponding author) |
| Year | 2017 |
| Volume | 50 |
| Issue | 2 |
| Pages | 205-206 |
| Publication date | 2017-04-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leonardo (JOURNAL) |
| Journal identifiers | ISSN: 0024-094X • E-ISSN: 1530-9282 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/leon_a_01229 |
| OpenAlex | W2223264347 |
| Language | EN |
| References cited | 10 |
Motionscapes—the compositions of visual forms in motion—have often been used for the evocation of affects in recent interactive artifacts and environments. While the motionscape aesthetic can be informed by art theory and history, previous empirical work investigating the affective affordances of motionscapes brings new perspectives to the design language of motionscapes. The authors argue that motionscapes that are commonly employed in artistic contexts can be appropriated for the design space of human-computer interaction (HCI) as a rich modality for affective visualization. The authors propose an initial set of principles and guidelines for evoking affect through motionscapes in interactive and immersive environments
Affect (linguistics) · Affordance · Art · Cognitive science · Evocation · Human–computer interaction · Modality (human–computer interaction) · Motion (physics) · Set (abstract data type) · Space (punctuation) · Visualization · Aesthetic Perception and Analysis · Artificial Intelligence · Communication · Computer Science · Data Visualization and Analytics · Human Motion and Animation · Psychology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |