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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2024
    • vol. 9, nº 1, diciembre 2024
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2024
    • vol. 9, nº 1, diciembre 2024
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    A Benchmark for the UEQ+ Framework: Construction of a Simple Tool to Quickly Interpret UEQ+ KPIs

    Autor: 
    Meiners, Anna-Lena
    ;
    Schrepp, Martin
    ;
    Hinderks, Andreas
    ;
    Thomaschewski, Jörg
    Fecha: 
    2024
    Palabra clave: 
    benchmark; UEQ; user experience; UX; IJIMAI
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/14811
    DOI: 
    https://doi.org/10.9781/ijimai.2023.05.003
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/3316
    Open Access
    Resumen:
    Questionnaires are a highly efficient method to compare the user experience (UX) of different interactive products or versions of a single product. Concretely, they allow us to evaluate the UX easily and to compare different products with a numeric UX score. However, often only one UX score from a single evaluated product is available. Without a comparison to other measurements, it is difficult to interpret an individual score, e.g. to decide whether a product’s UX is good enough to compete in the market. Many questionnaires offer benchmarks to support researchers in these cases. A benchmark is the result of a larger set of product evaluations performed with the same questionnaire. The score obtained from a single product evaluation can be compared to the scores from this benchmark data set to quickly interpret the results. In this paper, the first benchmark for the UEQ+ (User Experience Questionnaire +) is presented, which was created using 3.290 UEQ+ responses for 26 successful software products. The UEQ+ is a modular framework that contains a high number of validated user experience scales that can be combined to form a UX questionnaire. Currently, no benchmark is available for this framework, making the benchmark constructed in this paper a valuable interpretation tool for UEQ+ questionnaires.
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