&lt;title&gt;Human-computer interaction for alert warning and attention allocation systems of the multimodal watchstation&lt;/title&gt;

Obermayer, R. W.; Nugent, William A.

doi:10.1117/12.407536

Cited by 21 publications

(12 citation statements)

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“…systems that allow the user to monitor information related to secondary activities, see McCrickard, Czerwinski, & Bartram, 2003) their work promises to be applicable to more general attention aware systems that manage several types of information and evaluate if, when, and how to make it available to the user. Notification systems have been studied in a wide variety of application domains including messaging systems (Cutrell, Czerwinski, & Horvitz, 2001;Czerwinski, Cutrell, & Horvitz, 2000;, alerting in military operations (Obermayer & Nugent, 2000), and shared document annotation (Brush, Bargeron, Gupta, & Grudin, 2001).…”

Section: Presenting Alternative Foci or Maintaining The Current Focusmentioning

confidence: 99%

Attention aware systems: Theories, applications, and research agenda

Roda

Thomas

2006

Computers in Human Behavior

137

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Human perceptual and cognitive abilities are limited resources. Attention is the mechanism used to allocate such resources in the most effective way. Current technologies, in addition to allowing fast access to information and people, should be designed to support human attentional processes on which they impose further strain. This paper analyses the issues related to the design of systems capable of such support: attention aware systems. We introduce the research aimed at understanding and modelling human attentional processes, including perceptual and cognitive processes as studied in cognitive psychology, as well as rhetorical, aesthetic, and social aspects related to attentional mechanisms. We analyse current approaches to the design of attention aware systems along three major features: detection of user's current attentional state, detection and evaluation of possible alternative attentional states, strategies for focus switch or maintenance. Finally, we discuss the most promising research direction for the development of systems capable of supporting human attentional mechanisms.

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Section: Presenting Alternative Foci or Maintaining The Current Focusmentioning

confidence: 99%

Attention aware systems: Theories, applications, and research agenda

Roda

Thomas

2006

Computers in Human Behavior

137

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“…A design guideline proposed by Obermayer and Nugent [25] may help to promote the positive perception of interruption. The guideline recommends setting the level of attention attracted by an interruption's notification signal relative to the utility of the interruption content.…”

Section: Introductionmentioning

confidence: 99%

Matching attentional draw with utility in interruption

Gluck

Bunt

McGrenere

2007

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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This research examines a design guideline that aims to increase the positive perception of interruptions. The guideline advocates matching the amount of attention attracted by an interruption's notification method (attentional draw) to the utility of the interruption content. Our first experiment examined a set of 10 visual notification signals in terms of their detection times and established a set of three significantly different signals along the spectrum of attentional draw. Our second experiment investigated matching these different signals to interruption content with different levels of utility. Results indicate that the matching strategy decreases annoyance and increases perception of benefit compared to a strategy that uses the same signal regardless of interruption utility, with no significant impact on workload or performance. Design implications arising from the second experiment as well as recommendations for future work are discussed.

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“…Previous related work mainly concentrates itself on interruptability estimation in office settings [5,2,4] or highly specialized settings, such as Military Command Control [11] or Space Shuttle Monitoring [3]. They often model the interruptability as a uni-dimensional variable, eg.…”

Section: Introductionmentioning

confidence: 99%