Moticons: detection, distraction and task

  • Authors:
  • Lyn Bartram;Colin Ware;Tom Calvert

  • Affiliations:
  • Colligo Networks, Inc., 2nd Floor, 1071 Mainland Street, Vancouver BC, Canada V6B 5P9;Data Visualization Lab, University of New Hampshire, Durham, NH;School of Computing Science, Simon Fraser University, Burnaby, BC V5A 1s6, Canada

  • Venue:
  • International Journal of Human-Computer Studies - Notification user interfaces
  • Year:
  • 2003

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Abstract

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 resutts 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.