Behavioral Differences between Tap and Swipe: Observations on Time, Error, Touch-point Distribution, and Trajectory for Tap-and-swipe Enabled Targets

Title of the Paper

Behavioral Differences between Tap and Swipe: Observations on Time, Error, Touch-point Distribution, and Trajectory for Tap-and-swipe Enabled Targets

Paper Information

• Field of Study: Human-Computer Interaction
• Keywords: Touchscreen, Tap, Swipe, Human motor performance, Error rate prediction, Endpoint distribution, User interfaces, Smartphone interaction

Research Background and Problem

• Research Questions and Challenges: Smartphone interface design is typically based on target size guidelines for tap operations, but existing research has not clarified whether these guidelines are applicable to swipe operations. Additionally, knowledge about designing swipe targets is limited, such as the effects of swipe direction and target size on performance.
• Significance: Swipe operations are becoming increasingly common in smartphone interfaces, and incorrect swipes may lead to undesirable outcomes. If existing guidelines are directly applied to swipe targets, they may degrade the user experience.
• Related Work and Motivation: Existing studies primarily focus on tapping guidelines, with limited research on behavioral differences in swiping. For example, how swipe direction and target size affect operation time and error rate remains unresolved. These issues motivated the authors to conduct this study.

Solution

• Proposed Method: The authors conducted two experiments to study the behavioral differences between tapping and swiping on targets of different shapes and directions. Experiment 1 used bar-shaped targets, while Experiment 2 used square-shaped targets. Both experiments explored the effects of various swipe directions (up, down, left, right) and target sizes on operation time, error rate, and touch-point distribution.
• Innovations:
  • A systematic comparison of time, error rate, and behavioral patterns between tapping and swiping for the first time.
  • New empirical evidence for designing swipe targets.
  • Inclusion of touch-point distribution and swipe trajectory in performance analysis.
• Implementation Steps and Techniques:
  • Participants were recruited via a crowdsourcing platform to complete tapping and swiping tasks.
  • The experimental design followed a strict script, with controlled target sizes and fixed directional tasks.
  • Statistical and regression analyses were performed on time, error rate, and touch-point distribution.

Research Findings

• Specific Findings:
  • Swipe operations took significantly longer than tap operations, and performance varied with swipe direction.
  • The swipe direction with the highest error rate was upward swiping.
  • Larger target sizes reduced the "outside-touch-point" error rate for taps but unexpectedly increased the error rate for swipes.
  • The distribution of touch points for both tapping and swiping was significantly influenced by target size and direction.
• Advantages Over Existing Findings:
  • Addressed gaps in existing predictive models, such as correcting traditional tap target center prediction errors.
  • Proposed design recommendations for expanding target sizes for swipe operations.
• Experimental or Evaluation Results:
  • The experiments demonstrated that swipe error rates and operation times were significantly affected by swipe direction and target size.
  • Participants tended to swipe longer distances to reduce cognitive load, exceeding the required swipe distance for the target design.
• Limitations and Future Directions:
  • This study only tested a fixed swipe distance (10 mm) and did not cover a broader range of use cases.
  • The effects of target placement on the screen (e.g., edge vs. center) on swipe performance were not analyzed, which could lead to potential performance differences.
  • The diversity of swipe directions (e.g., diagonal swipes) and inertia effects were not included.
  • The study did not delve into how grip styles and fingertip factors, such as long nails or demographic factors (age, gender, etc.), influence swipe and tap performance.
  • Future research should focus on variations in swipe conditions, interaction design techniques, and the impact of target shapes on performance.

This study provides critical empirical foundations for UI design, particularly in the design and performance optimization of targets supporting both tap and swipe operations. In-depth research on operational behaviors can further guide the development of smartphone interaction design guidelines and models.