FERREIRA, L. A.MASIERO, A. A.Plinio Thomaz Aquino JuniorDA COSTA BIACHI, R. A.2022-01-122022-01-122013-08-05FERREIRA, 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.https://repositorio.fei.edu.br/handle/FEI/4067The 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.Acesso RestritoArtigo de evento10.1145/2493525.2493534Interface evaluation toolInterface optimizationMarkov decision process