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Previous research has developed a formal methods-based (cognitive-level) model of the ICS central engine, with which we have simulated attentional capture in the context of Barnard'd key-distractor Attentional Blink task. The same core system would be at work when human operators interact with computer interfaces. Thus, we have used this model to evaluate the performance trade-offs that would arise from varying key parameters in Stimulus Rich Reactive Interfaces (SRRIs). The results of these evaluations are presented in this paper. A strength of formal methods is that they are abstract and thus, the resulting specifications of the operator are general purpose, ensuring that our findings are broadly applicable.
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@techreport{2420,
author = {H. Bowman and Su Li and Brad Wyble},
title = {Performance of Reactive Interfaces in Stimulus Rich Environments, applying Formal Methods and Cognitive Frameworks},
month = {September},
year = {2006},
pages = {20},
keywords = {Reactive Interfaces, HCI, Stimulus Rich Environments, Formal Methods, Interacting Cognitive Subsystems},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2006/2420},
publication_type = {techreport},
submission_id = {3744_1158229868},
type = {Technical Report},
number = {6-06},
institution = {University of Kent, Computing Laboratory},
}