Beyond the Blink: Investigating Combined Saccadic & Blink-Suppressed Hand Redirection in Virtual Reality

Hand Gesture RecognitionFull-Body Interaction & Embodied InputEye Tracking & Gaze InteractionHCI ResearchersCognitive ScientistsSociologists & Anthropologists

Title of the Paper

Beyond the Blink: Investigating Combined Saccadic & Blink-Suppressed Hand Redirection in Virtual Reality

Paper Information

  • Research Area: Human-computer interaction and perception enhancement technologies in virtual reality
  • Keywords: Virtual reality, hand redirection, eye movement, blinking, detection threshold, change blindness

Research Background and Problem

  • Problems or Challenges:

    1. Traditional hand redirection techniques often rely on gradually drifting the position of the user's virtual hand, but this method has perceptibility limitations, especially with larger displacements.
    2. Existing blink-triggered redirection methods (Blink-Suppressed Hand Redirection, BHR) are constrained by the frequency and timing of blinks.
    3. Few studies have utilized change blindness induced by saccades (rapid eye movements) to improve redirection effectiveness.
  • Significance of the Research: Effective hand redirection techniques in virtual reality (VR) can enhance user immersion and increase interaction flexibility, which is particularly important for key application scenarios such as immersive interaction, education, and training.

  • Motivation and Related Work:

    1. Vision-based techniques (e.g., hand drifting) have achieved some success based on change blindness, but there is potential for further improvement.
    2. Change blindness has been widely applied in redirected walking in VR but has not been fully exploited in hand interaction, especially in relation to saccade-induced perceptual phenomena.
    3. By combining blink and saccade-induced change blindness effects, a more effective and less noticeable hand redirection algorithm can be designed.

Solution

  • Method: This study proposes a novel algorithm—Saccadic & Blink-Suppressed Hand Redirection (SBHR)—which, for the first time, combines blink and saccade-induced change blindness phenomena. The specific methods include:

    1. Gradual Drifting: Using existing algorithms to calculate displacement through linear interpolation, gradually shifting the virtual hand's position.
    2. Blink-Suppressed Offset Injection: Injecting instantaneous hand position offsets during user blinks.
    3. Saccadic Offset Injection: Injecting instantaneous hand position offsets during user saccades.
  • Innovations:

    1. First Combination of Saccade and Blink Change Blindness Effects: The more frequent saccade effect significantly improves hand redirection performance.
    2. Hybrid Design: Combining gradual drifting with immediate offset injection methods optimizes the likelihood of user detection.
    3. Fault Tolerance: Even in the absence of blinks or saccades, the algorithm still achieves hand redirection through gradual drifting.
  • Implementation Steps and Key Techniques:

    1. Using real-time eye-tracking technology to detect blink and saccade error windows via algorithms.
    2. Dynamically adjusting blink and saccade offset amounts based on the detection threshold (DT) to keep them within imperceptible ranges for users.
    3. Introducing a parameterized model to incorporate the dynamic effects of blinks and saccades, achieving highly adjustable adaptability.

Research Results

  • Specific Results:

    1. Compared to traditional gradual drifting methods, SBHR increased the detection threshold (DT), allowing for larger redirection amounts without being noticed.
    2. SBHR significantly outperformed the blink-triggered BHR method in redirection performance.
    3. Subjective evaluations indicated that users found SBHR's redirection effects to be less intrusive and less noticeable.
  • Advantages:

    1. Performance Improvement: Experiments demonstrated that introducing saccade-triggered techniques increased the DT from 6.65 cm in traditional methods to 8.04 cm in SBHR.
    2. Versatility: The algorithm supports more natural blink and saccade conditions, making it applicable to a wider range of VR scenarios.
    3. Enhanced User Experience: Subjective perception results showed that SBHR significantly reduced the likelihood of users noticing virtual hand position shifts.
  • Experimental or Evaluation Results:

    1. Experimental Method: A 1AFC (One-Alternative Forced Choice) design was used, with subjective perceptions recorded via questionnaires and blink/saccade events tracked through eye-tracking.
    2. Results showed that natural blink and saccade occurrences during tasks were 0.67 and 4.87 times, respectively, with a 95% utilization rate of saccade-triggered offsets.
    3. Redirection performance under SBHR was significantly better than BHR and the gradual drifting baseline.
  • Limitations and Future Directions:

    1. Parameter Optimization: Current blink and saccade offset amounts are based on general detection thresholds; future work could focus on finer adjustments for individual users.
    2. Hardware Support: Current eye-tracking hardware has some latency, limiting the practical effectiveness of the algorithm.
    3. Task Dependency: The research scenarios and tasks were designed specifically for the experiment, which may limit generalizability.
    4. Gender Effects: Due to a higher proportion of male participants in the data, future studies should include a more balanced gender distribution for validation.

Conclusion

This study successfully introduces blink and saccade-induced change blindness effects into VR hand redirection for the first time. The proposed SBHR algorithm is not only technically simple and efficient but also significantly enhances user experience and task performance. This work lays a solid foundation and opens new directions for further research on perception-based VR interaction design.

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https://hci.top/en/papers/chi/147392/2024

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DOI: https://doi.org/10.1145/3613904.3642073
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CHI
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Year
2024
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Hand Gesture Recognition, Full-Body Interaction & Embodied Input, Eye Tracking & Gaze Interaction
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HCI Researchers, Cognitive Scientists, Sociologists & Anthropologists
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