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3 February 2023 Data-driven study of the preferences and effects of wearable device visualisation in sport
Zheng Dong, Lin Yi, Wenyan Pan, An Hu, Wenyue Ma
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Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125110N (2023) https://doi.org/10.1117/12.2660309
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China
Abstract
We present the results of three studies related to the visualisation of sleep data on wearable devices in two forms: smartwatches and fitness bands. We aimed to comprehend the preferences and outcomes of various workout visualizations according to shape. Their usage of wearable technology and their preferences for choosing a certain visualisation were the subjects of an initial questionnaire. The findings demonstrated that visual representations were superior to plain text in terms of boosting people's comprehension and perception of their movement data and that preferences for movement data also affected the choice of visual representation. We examined the effects of smartwatches and fitness wristbands using in-person tests and online simulated visualisations in the pilot research and subsequent perception studies. According to the findings, smartwatches are more adept at visualizing more complicated issues than fitness bands. Due to these restrictions, we are unable to conclude that smartwatches are inherently better than fitness bands, although this poses new issues for further study.
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Zheng Dong, Lin Yi, Wenyan Pan, An Hu, and Wenyue Ma "Data-driven study of the preferences and effects of wearable device visualisation in sport", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125110N (3 February 2023); https://doi.org/10.1117/12.2660309
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KEYWORDS
Visualization
Analytical research
Visual analytics
Data visualization
Statistical analysis
Visual compression
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