Optimizing user interfaces for human performance

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A4 Artikkeli konferenssijulkaisussa
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2017

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Department of Communications and Networking

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en

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5

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Intelligent Human Computer Interaction - 9th International Conference, IHCI 2017, Proceedings, Volume 10688 LNCS, pp. 3-7, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Volume 10688 LNCS

Abstract

This paper summarizes an invited talk given at the 9th International Conference on Intelligent Human Computer Interaction (December 2017, Paris). Algorithms have revolutionized almost every field of manufacturing and engineering. Is the design of user interfaces the next? This talk will give an overview of what future holds for algorithmic methods in this space. I introduce the idea of using predictive models and simulations of end-user behavior in combinatorial optimization of user interfaces, as well as the contributions that inverse modeling and interactive design tools make. Several research results are presented from gesture design to keyboards and web pages. Going beyond combinatorial optimization, I discuss self-optimizing or “autonomous” UI design agents.

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| openaire: EC/H2020/637991/EU//COMPUTED

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DOI

10.1007/978-3-319-72038-8_1

Citation

Oulasvirta, A 2017, Optimizing user interfaces for human performance . in Intelligent Human Computer Interaction - 9th International Conference, IHCI 2017, Proceedings . vol. 10688 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10688 LNCS, Springer, pp. 3-7, International Conference on Intelligent Human Computer Interaction, Evry, France, 11/12/2017 . https://doi.org/10.1007/978-3-319-72038-8_1

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https://urn.fi/URN:NBN:fi:aalto-201802091424

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[article-cris] Sähkötekniikan korkeakoulu / ELEC