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Cumulative Impact of Testing Factors in Usability Tests for Human-Centered Web Design

Author

Listed:
  • Alexander V. Yakunin

    (School of Journalism and Mass Communications, St. Petersburg State University, St. Petersburg 199004, Russia)

  • Svetlana S. Bodrunova

    (School of Journalism and Mass Communications, St. Petersburg State University, St. Petersburg 199004, Russia)

Abstract

The study examines the cumulative impact of factors that affect usability testing for user-centered web design, namely the so-called ‘contextual fidelity model’ factors that include product properties, task features, user traits, and environment/context factors. Today, the design, user experience and usability (DUXU) research experiences a lack of studies that would assess combinatorial, rather than individual, effects of these factors upon user performance. We address this gap by seeing both independent factors and the resulting user states as complex and dynamic, and testing the combined impact of aesthetic quality of websites, user traits, and individual/group experiment settings upon formation of two dysfunctional user states that critically affect user performance, namely monotony and anxiety. We develop a research design that allows for assessing the combinatorial effects in formation of user dysfunctionality. For that, we conduct a study with 80 assessors of Russian/European and Chinese origin in individual/group setting, employing two types of tasks and websites of high/low aesthetic quality. As the results of our experiment show, group task solving enhances the synchronous impact of website aesthetics and task features upon user states. Interaction of high-quality design, group environment, and monotonous tasks provides for an antagonistic effect when aesthetic layout in a group environment significantly reduces the fatigue rate. Low aesthetic quality in a group environment leads to cumulative enhancing of dysfunctionality for both monotony and anxiety. We conclude by setting questions and prospects for further research.

Suggested Citation

  • Alexander V. Yakunin & Svetlana S. Bodrunova, 2022. "Cumulative Impact of Testing Factors in Usability Tests for Human-Centered Web Design," Future Internet, MDPI, vol. 14(12), pages 1-26, November.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:12:p:359-:d:988650
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    References listed on IDEAS

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    1. Azzah Al‐Maskari & Mark Sanderson, 2010. "A review of factors influencing user satisfaction in information retrieval," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 859-868, May.
    2. Pal, Debajyoti & Vanijja, Vajirasak, 2020. "Perceived usability evaluation of Microsoft Teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India," Children and Youth Services Review, Elsevier, vol. 119(C).
    3. Panayiotis Koutsabasis & Theano G. Istikopoulou, 2013. "Perceived Website Aesthetics by Users and Designers: Implications for Evaluation Practice," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 9(2), pages 39-52, April.
    4. Azzah Al-Maskari & Mark Sanderson, 2010. "A review of factors influencing user satisfaction in information retrieval," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(5), pages 859-868, May.
    5. Huang, Zhao & Mou, Jian, 2021. "Gender differences in user perception of usability and performance of online travel agency websites," Technology in Society, Elsevier, vol. 66(C).
    Full references (including those not matched with items on IDEAS)

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