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Diagnostic and Accessibility Based User Modelling

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User Modeling and Adaptation for Daily Routines

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

This chapter discusses application driven user modelling by dividing user model applications into two broad categories: to provide access for the user with a device and to derive conclusions about the user. Both imply different requirements and different algorithms. The chapter starts by reviewing user modelling literature. Next, the chapter focuses on a discussion of design work in providing accessible documents to deliver accessible educational materials to students, matched to their needs and the capabilities of the device that they are using, so modelling components need to be considered. Next is a presentation of user models supporting the diagnosis of cognitive states, employing a user model that is expressed as fusion of sensor data. With a baseline created, the system captures sensor data over time and compares it with ‘normal’ pattern, to identify indications of Mild Cognitive Impairment (MCI). Finally, a novel framework for User Models design is shown, dividing user data into static and dynamic types.

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Notes

  1. 1.

    http://www.aegis-project.eu

  2. 2.

    http://adenu.ia.uned.es/alpe/index.tcl

  3. 3.

    http://www.eu4all-project.eu/

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Acknowledgments

The authors would like to thank their colleagues for their insightful comments on earlier drafts of this paper and for contributing to this paper in various ways. Stefan Carmien wishes to thank Carlos Velasco, Andy Heath, and Chris Powers and the EU4ALL project which provided the inspiration for Sect. 3.3. Alberto Martínez wishes to thank all the members of the BEDMOND Project Team, the ones close to end-users for their efficient work done while specifying requirements, the researchers highly involved in the Ambient Assisted Living environment and technologies to apply and, finally, the market oriented companies of the consortium guiding our development for the project results impact. This project is sponsored and partially funded by the European AAL JP and the National Funding Agencies from Austria (FFG), Portugal and Spain.

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Authors and Affiliations

  1. Tecnalia Research and Innovation, Mikeletegi Pasealekua 1-3, E-20009, Donostia, Spain

    Stefan P. Carmien & Alberto Martínez Cantera

Authors
  1. Stefan P. Carmien
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  2. Alberto Martínez Cantera
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Corresponding author

Correspondence to Stefan P. Carmien .

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Editors and Affiliations

  1. Department of Languages and Computer Sys, Universidad Rey Juan Carlos, Tulipán s/n, Móstoles, 28933, Madrid, Spain

    Estefanía Martín

  2. IIC-Knowledge Engineering Institute, Universidad Autónoma de Madrid, Tomas y Valiente 11, Madrid, 28049, Madrid, Spain

    Pablo A. Haya

  3. Department of Computer Science and Engin, Universidad Autónoma de Madrid, Tomas y Valiente 11, Madrid, 28049, Madrid, Spain

    Rosa M. Carro

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Carmien, S.P., Cantera, A.M. (2013). Diagnostic and Accessibility Based User Modelling. In: Martín, E., Haya, P., Carro, R. (eds) User Modeling and Adaptation for Daily Routines. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-4778-7_3

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  • DOI: https://doi.org/10.1007/978-1-4471-4778-7_3

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4777-0

  • Online ISBN: 978-1-4471-4778-7

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