Friday, November 10, 2017
The paper examines a computational design approach for improving user interface designs taking into account individual abilities. In ability-based optimization, designs are created by an optimizer and evaluated against model of an individual performing tasks. In our approach, individual abilities are parametrically expressed as part of a task-specific cognitive model, and the model estimates how the individual might adapt her interaction to the task. Optimized designs can potentially improve speed and reduce errors in interaction. Ability-based optimization does not necessitate extensive data-collection and could be applied both automatically and manually by users, designers, or caretakers.