Moticons: Detection, Distraction and Task
In this paper, we describe an empirical investigation of the utility of several perceptual properties of motion in information-dense displays applied to notification. Notification relates to awareness and how dynamic information is communicated from the system to the user. Key to a notification technique is how easily the notification is detected and identified. Our initial studies show that icons with simple motions, termed moticons, are effective coding techniques for notification and in fact are often better detected and identified than colour and shape codes, especially in the periphery. A subsequent experiment compared the detection and distraction effects of different motion types in several task conditions. Our results reveal how different attributes of motion contribute to detection, identification and distraction and provide initial guidelines on how motion codes can be designed to support awareness in information-rich interfaces while minimizing unwanted side effects of distraction and irritation.
Journal or Conference Title
International Journal of Human-Computer Studies
58, Issue 5
New York, NY, USA
Digital Object Identifier (DOI)
Lyn Bartram, Colin Ware, Tom Calvert, Moticons:: detection, distraction and task, International Journal of Human-Computer Studies, Volume 58, Issue 5, May 2003, Pages 515-545, ISSN 1071-5819, http://dx.doi.org/10.1016/S1071-5819(03)00021-1. (http://www.sciencedirect.com/science/article/pii/S1071581903000211)
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