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    Self-similarity in virtual humans significantly boosts embodiment and self-identification in Augmented Reality (AR). However, motor control effects were weaker than expected, with personal factors also influencing body weight perception.

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    Area of Science:

    • Human-Computer Interaction
    • Virtual Reality
    • Augmented Reality

    Background:

    • Sense of embodiment and self-identification are crucial for immersive experiences.
    • Understanding body weight perception in virtual environments is key for realistic interactions.

    Purpose of the Study:

    • To investigate the impact of virtual human self-similarity and motor control on embodiment, self-identification, and body weight perception in AR.
    • To explore factors influencing body weight estimation in AR.

    Main Methods:

    • A 2x2 mixed design experiment with 60 participants interacting with virtual humans in AR.
    • Manipulation of virtual human appearance (self-similar vs. generic) and movement (synchronous vs. independent).
    • Evaluation of embodiment, self-identification, and body weight perception post-interaction.

    Main Results:

    • Self-similarity significantly enhanced embodiment, self-identification, and body weight estimation accuracy.
    • Motor control had a weaker impact compared to previous Virtual Reality studies.
    • Participant's body weight, self-esteem, and body shape concerns also predicted body weight estimates.

    Conclusions:

    • Virtual human self-similarity is a strong predictor of user embodiment and identification in AR.
    • The influence of motor control in AR may differ from VR, requiring further investigation.
    • Personal participant characteristics significantly modulate body weight perception within AR environments.