Automatic Interface Optimization Through Random Exploration of Available Elements
Abstract
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.
Cite
Text
Ferreira et al. "Automatic Interface Optimization Through Random Exploration of Available Elements." International Joint Conference on Artificial Intelligence, 2013. doi:10.1145/2493525.2493534Markdown
[Ferreira et al. "Automatic Interface Optimization Through Random Exploration of Available Elements." International Joint Conference on Artificial Intelligence, 2013.](https://mlanthology.org/ijcai/2013/ferreira2013ijcai-automatic/) doi:10.1145/2493525.2493534BibTeX
@inproceedings{ferreira2013ijcai-automatic,
title = {{Automatic Interface Optimization Through Random Exploration of Available Elements}},
author = {Ferreira, Leonardo Anjoletto and Masiero, Andrey Araujo and Jr., Plinio Thomaz Aquino and da Costa Bianchi, Reinaldo Augusto},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2013},
pages = {51-59},
doi = {10.1145/2493525.2493534},
url = {https://mlanthology.org/ijcai/2013/ferreira2013ijcai-automatic/}
}