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Analysis of Tools to Measure the User Experience During the Sports Practice of Recreational Surfing

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Advances in Human Factors in Sports and Outdoor Recreation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 496))

Abstract

This research aimed to identify and analyse which tools have the greatest potential for measuring the user experience throughout the practice of recreational surfing. The method adopted to gather information was a systematic review of literature on the user experience in surfing. After analysing the selected articles, the tools with the greatest potential for measurement were highlighted. The results have shown that there are several ways to measure the user experience in different sports and in surfing. This led to the construction of a table with the potential tools for measuring the user experience on recreational surfing, highlighting their main features, their positive and negative aspects and the justification of their possible use. In the results, the following tools stood out above all the others: GPS, accelerometer and gyroscope to measure physiological variables; and the affective diary and semi-structured interviews to measure the psychological variables of the user experience.

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Notes

  1. 1.

    Available in: http://www.windguru.cz/pt/.

  2. 2.

    This data collection technique is characterized by the use of sensors that track and record the physical states of the user in a smartphone so they can see it later and add their own reflections about the data. Available in: http://www.allaboutux.org/affective-diary.

  3. 3.

    Product developed by the company AlpineReplay for surfers and snowboarders to track their sessions and synchronize with their videos. http://www.traceup.com/trace-for-surfing.

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Caselli, R., Ferreira, M., Gonçalves, B. (2017). Analysis of Tools to Measure the User Experience During the Sports Practice of Recreational Surfing. In: Salmon, P., Macquet, AC. (eds) Advances in Human Factors in Sports and Outdoor Recreation. Advances in Intelligent Systems and Computing, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-319-41953-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-41953-4_7

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