Squeezy-Feely: Investigating Lateral Thumb-Index Pinching as an Input Modality

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In-Vehicle Haptic, Audio & Multimodal FeedbackHand Gesture Recognition

Title of the Paper

Squeezy-Feely: Investigating Lateral Thumb-Index Pinching as an Input Modality

Paper Information

  • Field of Study: Human-Computer Interaction and User Interface Design
  • Keywords: Input, Pinching, Deformation, Mixed Reality, Thumb and Index Finger, User Study

Research Background and Problem

  • Identified Problem or Challenge: This paper highlights the lack of systematic understanding of the performance of thumb-index pinching, particularly regarding the impact of different grip spans, directions, and object stiffness on the accuracy and efficiency of pinching actions.
  • Significance: This input modality is widely used in touch devices and mixed reality, but its effects on user experience and performance require further exploration. Pinching not only enables fine-grained input but also offers new possibilities for user interface design by incorporating object deformation.
  • Research Motivation and Related Work:
    • The complex grasping actions of the hand hold great potential in the field of human-computer interaction, especially when combined with haptic feedback to enhance user experience.
    • Related studies have explored the application of pinching in navigation, zooming, and fabric interaction, but research on human pinching capabilities under specific ranges and object stiffness is limited.

Proposed Solution

  • Proposed Method or Solution: This study designs a controlled experiment to evaluate the lateral pinching performance of the thumb and index finger, exploring the effects of five independent variables: initial grip span, object counterforce (stiffness), grip direction, scale granularity, and target position. A total of 18 participants were recruited for the study.
  • Innovative Contributions:
    1. Systematic analysis of the potential of pinching as a linear input modality.
    2. Use of a high-precision optical tracking system to deeply record changes in finger grip distance and their impact on task efficiency and accuracy.
  • Implementation Steps:
    1. Define five independent variables and their combinations.
    2. Measure data such as accuracy, task completion time, target crossings, and jitter.
    3. Analyze performance under different experimental conditions using statistical methods.

Research Findings

  • Specific Results:
    • A larger grip span (Big Span) improved accuracy and reduced jitter and task completion time.
    • Using objects with soft counterforce significantly enhanced accuracy, while hard counterforce led to more jitter.
    • The Top-to-Bottom grip direction performed the worst, while the Left-to-Right direction performed the best and received higher user experience ratings.
    • Even with very fine granularity (up to 75 levels), users achieved high input accuracy.
  • Comparison with Existing Solutions:
    • This study found that traditional pinching gestures on mobile devices can be extended into higher granularity linear input methods.
    • Compared to previous pinching studies, this research expands the understanding of different physical dimensions (direction, span, stiffness).
  • Experimental or Evaluation Results:
    • For Big Span and Soft Counterforce, accuracy reached 94%-100%.
    • Smaller grip spans significantly reduced accuracy and increased task completion time.
    • Soft counterforce was rated as more comfortable than hard counterforce, without significantly affecting efficiency.
  • Limitations and Future Directions:
    • Limitations: The experimental sample range was limited, focusing only on adult participants and excluding children or elderly users. Additionally, the feasibility of counterforce materials and the issue of fatigue during prolonged use remain unresolved.
    • Future Directions:
      1. Extend the study to pinch gesture design in haptic devices, such as simulating counterforce through wearable haptic devices.
      2. Explore the impact of bimanual operations or user preferences.
      3. Develop supplementary input methods suitable for small spans and scenarios without counterforce.

Conclusion and Contributions

This paper systematically explores the potential of thumb-index pinching as a linear input method and proposes several design principles to improve accuracy and user experience. It provides significant insights for future touch devices and mixed reality interfaces. This approach is particularly suitable for deformable displays and applications requiring high-granularity input.

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https://hci.top/en/papers/chi/69020/2022

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DOI: https://dl.acm.org/doi/abs/10.1145/3491102.3501981
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CHI
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2022
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In-Vehicle Haptic, Audio & Multimodal Feedback, Hand Gesture Recognition
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