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Tracking Cognitive Workload in Gaming with In-Ear

Harry J Davies, Ian Williams, Danilo P Mandic

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |September 10, 2022
    PubMed
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    This study shows that in-ear electrodermal activity (EDA) can track cognitive workload during gaming. In-ear EDA offers a feasible method for low-cost, wearable cognitive load monitoring in video games.

    Area of Science:

    • Neuroscience
    • Human-Computer Interaction
    • Wearable Technology

    Background:

    • Cognitive workload assessment is crucial for understanding user experience in gaming.
    • Existing methods for tracking cognitive load can be intrusive or expensive.
    • In-ear physiological sensors offer a potential low-cost, unobtrusive alternative.

    Purpose of the Study:

    • To investigate the feasibility of using in-ear electrodermal activity (EDA) to monitor cognitive workload in gaming.
    • To examine the relationship between gaming performance, cognitive load, and physiological responses.
    • To compare cognitive workload responses across different game genres.

    Main Methods:

    • Utilized in-ear EDA sensors to measure physiological responses during gameplay.

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  • Conducted experiments with the games Geometry Dash and Dark Souls III.
  • Analyzed temporal variations in EDA, heart rate, and breathing rate across 7 subjects and 250 trials.
  • Compared cognitive workload responses across three distinct game genres.

    • Main Results:

    • A significant decrease in in-ear EDA was observed in response to cognitive workload induced by gaming.
    • In-ear EDA responses were consistent with findings from memory tasks.
    • In-ear EDA showed potential in distinguishing cognitive workload from stress, unlike heart rate and breathing rate.
    • Gaming performance correlated with cognitive load during challenging boss fights.

    Conclusions:

    • In-ear EDA is a feasible and low-cost method for wearable cognitive workload tracking in gaming.
    • This technology has potential applications in game development for playtesting and in future games for biofeedback.
    • In-ear EDA may provide a more specific measure of cognitive workload compared to heart rate and breathing rate.