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Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
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Investigating the Correlation Between Presence and Reaction Time in Mixed Reality.

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    This study introduces reaction time as a novel, objective measure for assessing user presence in Mixed Reality (MR). Faster reaction times correlate with a higher sense of presence, improving MR experiences.

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    Area of Science:

    • Human-Computer Interaction
    • Virtual Reality and Augmented Reality
    • Cognitive Psychology

    Background:

    • Measuring user presence in Mixed Reality (MR) is vital for enhancing engagement and performance.
    • Traditional subjective questionnaires for presence lack real-time data and are prone to bias.
    • Existing research links human performance metrics to the sense of presence.

    Purpose of the Study:

    • To systematically measure user reaction time to visual stimuli within manipulated MR environments as an objective indicator of presence.
    • To explore the correlation between manipulated presence illusions (place and plausibility) and user reaction times.
    • To develop a predictive model for estimating presence levels based on reaction time data.

    Main Methods:

    • An exploratory study with 40 participants was conducted across two experiments.
    • User presence was manipulated by altering place and plausibility illusions in the MR environment.
    • Participant reaction times to visual stimuli were systematically recorded using MR device tools.

    Main Results:

    • A significant negative correlation (r = -0.65) was found between presence scores and reaction times.
    • Participants with a higher sense of presence exhibited quicker responses to stimuli.
    • A model was developed to estimate presence levels from reaction time, achieving up to 80% accuracy.

    Conclusions:

    • User reaction time presents a viable, objective metric for quantifying presence in Mixed Reality.
    • The findings suggest that enhanced presence leads to faster cognitive processing and response.
    • Further research is recommended to refine the reaction time-based presence estimation model for improved accuracy.