Abstract
A prominent requirement in the field of human-computer interaction is to make mobile applications more usable and better adjusted to their users’ needs. In particular, designers of groupware applications face the task of developing software for many users while making it work as if it was designed for each single individual. User modeling research has attempted to address these issues. A precondition for achieving this task is to find predictive and generative models of the user interactions. In this paper we develop a methodology for modeling the user behavior when interacting with a computer system. The byproduct of this methodology is a low level representation of the user interactions in the form of weighted automata, which can be easily transformed into user profiles in text form. Profiles can then be used by the designer to configure and verify the task model of the system.
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Acknowledgments
This work was partially supported by project PAC::LFO (MTM2014-55262-P) of Ministerio de Ciencia e Innovación (MICINN), Spain.
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A Appendix
A Appendix
The following Table 2 describes the semantics of the actions of the interactive groupware system used for the experimentation. The actions supported by the tool to generate groups of users are omitted because they were managed by the evaluators and the users of the system never performed these actions.
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Tîrnăucă, C., Duque, R., Montaña, J.L. (2016). Automatic Generation of User Interaction Models. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2016. Lecture Notes in Computer Science(), vol 10069. Springer, Cham. https://doi.org/10.1007/978-3-319-48746-5_42
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DOI: https://doi.org/10.1007/978-3-319-48746-5_42
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