Automated UI evaluation based on a cognitive architecture and UsiXML

González-Calleros, Juan Manuel; Osterloh, Jan-Patrick; Feil, Rene; Lüdtke, Andreas

doi:10.1016/j.scico.2013.04.004

Cited by 4 publications

(1 citation statement)

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“…The approach proposed in [7] uses MatLab to describe the system model and UsiXML to describe the UI in order to check early prototypes against a set of usability related rules and to predict human performance using a cognitive architecture. While first results have been promising, the approach does not cover an integration of UsiXML with the system model and the cognitive architecture and therefore does not cover automation for providing the evaluation models.…”

Section: Model-based Ui Development and Usability Evaluationsmentioning

confidence: 99%

Predicting task execution times by deriving enhanced cognitive models from user interface development models

Quade

Halbrügge

Engelbrecht

et al. 2014

Proceedings of the 2014 ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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Adaptive user interfaces (UI) offer the opportunity to adapt to changes in the context, but this also poses the challenge of evaluating the usability of many different versions of the resulting UI. Consequently, usability evaluations tend to become very complex and time-consuming. We describe an approach that combines model-based usability evaluation with development models of adaptive UIs. In particular, we present how a cognitive user behavior model can be created automatically from UI development models and thus save time and costs when predicting task execution times. With the help of two usability studies, we show that the resulting predictions can be further improved by using information encoded in the UI development models.

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Section: Model-based Ui Development and Usability Evaluationsmentioning

confidence: 99%