Usability Testing of Waters Brand Promotion Website on University Students

Adisty Riestanti, Albert Teel, Made Satriyani, Eddy Yansen

Abstract


Usability testing plays a pivotal role in assessing user experience on websites, providing businesses with invaluable insights into customer perspectives. Eye-tracking, a widely accepted methodology, zeroes in on visual engagement by analyzing specific Areas of Interest (AOI). This study embarked on an exploration of the impact of AOI on dwell time for the latest iteration of the Waters website and further delineated the sections that captivated the most and least user attention. Adopting a quantitative stance, a two-way ANOVA was deployed on a sample comprising 15 master’s students from two distinct academic institutions. Preliminary findings underscore significant disparities in dwell times across different AOIs, implying that specific AOIs retain user attention more robustly. Notably, the research has its constraints, encompassing potential deviations in webcam-based eye-tracking accuracy, the modest sample size, and post-hoc AOI categorization. As an extension, subsequent studies could probe the nuanced factors swaying dwell time within Waters' website AOIs, integrating methodologies such as the WSD technique and proactive AOI classification.

Keywords


Usability Testing; Eye-Tracking; Areas of Interest (AOI); Dwell Time; Website Engagement

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References


Bergstrom, J. R. & Schall, A. (2014). Eye tracking in user experience design. Elsevier.

Białowąs, S. & Szyszka, A. (2019). Eye-tracking in marketing research. Managing Economic Innovations–Methods and Instruments, 1(69), 91–104.

Bojko, A. (2013). Eye tracking the user experience: A practical guide to research. Rosenfeld Media.

Carter, B. T. & Luke, S. G. (2020). Best practices in eye tracking research. International Journal of Psychophysiology, 155, 49–62.

Chaffey, D. & Ellis-Chadwick, F. (2019). Digital marketing. Pearson UK.

Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.

Kutner, M. H., Nachtsheim, C. J., & Neter, J. (1983). Applied linear regression models.

Levine, T. R., Asada, K. J., & Carpenter, C. (2009). Sample sizes and effect sizes are negatively correlated in meta-analyses: Evidence and implications of a publication bias against nonsignificant findings. Communication Monographs, 76(3), 286–302.

Orquin, J. L., Ashby, N. J. S., & Clarke, A. D. F. (2016). Areas of interest as a signal detection problem in behavioral eye‐tracking research. Journal of Behavioral Decision Making, 29(2–3), 103–115.

Othman, Y., Khalaf, M., Ragab, A., Salaheldin, A., Ayman, R., & Sharaf, N. (2020). Eye-to-eye: towards visualizing eye gaze data. 2020 24th International Conference Information Visualisation (IV), 729–733.




DOI: http://dx.doi.org/10.26737/ij-mds.v7i1.4919

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