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International Conference on Applied Human Factors and Ergonomics

AHFE 2017: Advances in Usability and User Experience pp 291–302Cite as

Usability Model Based on Traditional Metrics and Physiological and Eye Tracking Variables Depending on User Profile

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 607))

Abstract

Usability recommendations need to be checked with users, combining subjective methodologies with objective and quantitative approaches. The use of physiological response and eye tracking variables allowed detecting better the effect of usability recommendations and user profile. Moreover, some usability recommendations seems to have low effect on improving usability and even can difficult the interaction for users without functional limitaions. Finally, a model to assess the usability has been defined, which related web design parameters with objective variables and user perception, where task outcomes are key indicators for users without functional limitations while variables related with emotional response or behaviour are more important for users with motor disorders.

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Author information

Authors and Affiliations

  1. Instituto de Biomecánica de Valencia (IBV), Universitat Politècnica de València, Edifici 9C Camino de Vera s/n, 46022, València, Spain

    José Laparra-Hernández, Juan-Manuel Belda-Lois & Álvaro Page

Authors
  1. José Laparra-Hernández
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  2. Juan-Manuel Belda-Lois
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  3. Álvaro Page
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Corresponding author

Correspondence to José Laparra-Hernández .

Editor information

Editors and Affiliations

  1. University of Central Florida , Orlando, Florida, USA

    Tareq Ahram

  2. Catholic University of Pernambuco , Boa Vista, Recife, Brazil

    Christianne Falcão

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Laparra-Hernández, J., Belda-Lois, JM., Page, Á. (2018). Usability Model Based on Traditional Metrics and Physiological and Eye Tracking Variables Depending on User Profile. In: Ahram, T., Falcão, C. (eds) Advances in Usability and User Experience. AHFE 2017. Advances in Intelligent Systems and Computing, vol 607. Springer, Cham. https://doi.org/10.1007/978-3-319-60492-3_28

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  • DOI: https://doi.org/10.1007/978-3-319-60492-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60491-6

  • Online ISBN: 978-3-319-60492-3

  • eBook Packages: EngineeringEngineering (R0)

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