Performance of Reactive Interfaces in Stimulus Rich Environments, Applying Formal Methods and Cognitive Frameworks

Li Su, Howard Bowman, Philip Barnard
2008 Electronical Notes in Theoretical Computer Science  
Previous research has developed a formal methods-based (cognitive-level) model of the Interacting Cognitive Subsystems central engine, with which we have simulated attentional capture in the context of Barnard's key-distractor Attentional Blink task. This model captures core aspects of the allocation of human attention over time and as such should be applicable across a range of practical settings when human attentional limitations come into play. Thus, we have used this model to evaluate the
more » ... rformance trade-offs that would arise from varying key parameters in Stimulus Rich Reactive Interfaces. 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.
doi:10.1016/j.entcs.2008.03.109 fatcat:vczlmnbsgbfk7m65tobtt3ilma