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Identifying optimum performance trade-offs using a cognitively bounded rational analysis model of discretionary task interleaving
- Topics in Cognitive Science
"... We report the results of a dual-task study in which participants performed a tracking and typing task under various experimental conditions. An objective payoff function was used to provide explicit feedback on how participants should trade-off performance between the tasks. Results show that partic ..."
Abstract
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Cited by 9 (6 self)
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We report the results of a dual-task study in which participants performed a tracking and typing task under various experimental conditions. An objective payoff function was used to provide explicit feedback on how participants should trade-off performance between the tasks. Results show that participants ’ dual-task interleaving strategy was sensitive to changes in the difficulty of the tracking task, and resulted in differences in overall task performance. To test the hypothesis that people select strategies that maximize payoff, a Cognitively Bounded Rational Analysis model was developed. This analysis evaluated a variety of dual-task interleaving strategies to identify the optimal strategy for maximizing payoff in each condition. The model predicts that the region of optimum performance is different between experimental conditions. The correspondence between human data and the prediction of the optimal strategy is found to be remarkably high across a number of performance measures. This suggests that participants were honing their behavior to maximize payoff. Limitations are discussed.
Understanding Strategic Adaptation in Multitask Settings
"... How do people interleave their attention when performing multiple tasks, such as dialing a phone number while driving, or checking e-mail while writing a paper? To investigate these issues a variety of modeling frameworks ..."
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How do people interleave their attention when performing multiple tasks, such as dialing a phone number while driving, or checking e-mail while writing a paper? To investigate these issues a variety of modeling frameworks
Research Background and Objectives
"... The promotion of mobile devices within the field of HCI makes it necessary to better understand how these devices are used in multitasking contexts, so as to prevent accidents. In these contexts, users must choose how to allocate their attention to the tasks that they are engaged in. Using computati ..."
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The promotion of mobile devices within the field of HCI makes it necessary to better understand how these devices are used in multitasking contexts, so as to prevent accidents. In these contexts, users must choose how to allocate their attention to the tasks that they are engaged in. Using computational cognitive models, I demonstrate why users interleave tasks in particular patterns: to comply with priority objectives and to optimize performance. In future work, I will investigate how users learn to perform in optimum ways, so as to be able to predict performance during a first encounter with novel situations and interfaces.
