Automatic interface optimization through random exploration of available elements
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2013-08-05
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FERREIRA, L. A.
MASIERO, A. A.
Plinio Thomaz Aquino Junior
DA COSTA BIACHI, R. A.
MASIERO, A. A.
Plinio Thomaz Aquino Junior
DA COSTA BIACHI, R. A.
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ACM International Conference Proceeding Series
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FERREIRA, L. A.; MASIERO, A. A.; AQUINO JUNIOR, P. T.; DA COSTA BIACHI, R. A. Automatic interface optimization through random exploration of available elements. ACM International Conference Proceeding Series, p. 51-59, August, 2013.
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The Keystroke-Level Model (KLM) is an interface evaluation method that use as metric the time needed to perform an executed action to complete a given task. The description used in KLM is very similar to the formalism that Markov Decision Process (MDP) uses to describe a domain, in which an artificial agent must perform a sequence of actions in order to solve a problem. This work presents a way to model a user's interaction with an interface using MDP combined with KLM in order to optimize a set of parameters and find the best set of interface components for a user. Results show that by changing the metrics of the KLM, the MDP finds different solutions that may be combined to generate an interface tailored for a given user. © 2013 ACM.