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URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/342

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20131

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Periódico: search.filters.ispartof.ACM International Conference Proceeding SeriesAssunto: search.filters.subject.Artificial agents

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    Artigo de evento 1 Citação(ões) na Scopus
    Automatic interface optimization through random exploration of available elements
    (2013-08-05) FERREIRA, L. A.; MASIERO, A. A.; Plinio Thomaz Aquino Junior; DA COSTA BIACHI, R. A.
    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.