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2009
ACM

A probabilistic mental model for estimating disruption

11 years 7 months ago
A probabilistic mental model for estimating disruption
Adaptive software systems are intended to modify their appearance, performance or functionality to the needs and preferences of different users. A key bottleneck in building effective adaptive systems is accounting for the cost of disruption to a user’s mental model of the application caused by the system’s adaptive behaviour. In this work, we propose a probabilistic approach to modeling the cost of disruption. This allows an adaptive system to tradeoff disruption cost with expected savings (or other benefits) induced by a potential adaptation in a principled, decision-theoretic fashion. We conducted two experiments with 48 participants to learn model parameters in an adaptive menu selection environment. We demonstrate the utility of our approach in simulation and usability studies. Usability results with 8 participants suggest that our approach is competitive with split menus w.r.t. task performance, while providing the ability to reduce disruption and adapt to user preferences....
Bowen Hui, Grant Partridge, Craig Boutilier
Added 17 Mar 2010
Updated 17 Mar 2010
Type Conference
Year 2009
Where IUI
Authors Bowen Hui, Grant Partridge, Craig Boutilier
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