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Point n Move: Designing a Glove-Based Pointing Device

Sealtiel B. Dy, Robert Joachim O. Encinas, Daphne Janelyn L. Go, Kyle Carlo C. Lasala, Bentley Andrew Y. Lu, Maria Monica Manlises, Jordan Aiko Deja

TL;DR

This study addresses the need for integrated presentation input by designing a glove-based pointing device that fuses motion-based pointer control with laser-like cues. It builds on the CheerPod by replacing handheld input with a glove-mounted accelerometer/gyroscope system and evaluates two prototype iterations against CheerPod in a hierarchical menu task. Results show the prototypes achieve 9–15 s per task, with iteration 2 improving stability and consistency but still lagging behind CheerPod in speed and reliability, underscored by significant statistical differences. The findings illuminate design considerations for wearable, motion-driven presentation tools and point to hardware upgrades and ergonomic enhancements as pathways to close the performance gap.

Abstract

In-person presentations commonly depend on projectors or screens, requiring input devices for slide transitions and laser pointing. This paper introduces a glove-based pointer device that integrates these functions, offering an alternative to conventional tools. The device leverages accelerometer and gyroscope technology to enhance precision and usability. We evaluated its performance by comparing it to the original CheerPod interface in hierarchical menu navigation tasks, involving participants aged 18 to 25. Results indicate task completion times ranging from 9 to 15 seconds with the proposed device, highlighting its efficiency and consistency. While the original CheerPod interface performed adequately, the glove-based pointer demonstrated advantages in reliability across tasks. These findings contribute to the design considerations for wearable input devices and suggest pathways for future improvements in presentation tools.

Point n Move: Designing a Glove-Based Pointing Device

TL;DR

This study addresses the need for integrated presentation input by designing a glove-based pointing device that fuses motion-based pointer control with laser-like cues. It builds on the CheerPod by replacing handheld input with a glove-mounted accelerometer/gyroscope system and evaluates two prototype iterations against CheerPod in a hierarchical menu task. Results show the prototypes achieve 9–15 s per task, with iteration 2 improving stability and consistency but still lagging behind CheerPod in speed and reliability, underscored by significant statistical differences. The findings illuminate design considerations for wearable, motion-driven presentation tools and point to hardware upgrades and ergonomic enhancements as pathways to close the performance gap.

Abstract

In-person presentations commonly depend on projectors or screens, requiring input devices for slide transitions and laser pointing. This paper introduces a glove-based pointer device that integrates these functions, offering an alternative to conventional tools. The device leverages accelerometer and gyroscope technology to enhance precision and usability. We evaluated its performance by comparing it to the original CheerPod interface in hierarchical menu navigation tasks, involving participants aged 18 to 25. Results indicate task completion times ranging from 9 to 15 seconds with the proposed device, highlighting its efficiency and consistency. While the original CheerPod interface performed adequately, the glove-based pointer demonstrated advantages in reliability across tasks. These findings contribute to the design considerations for wearable input devices and suggest pathways for future improvements in presentation tools.

Paper Structure

This paper contains 9 sections, 5 figures, 4 tables.

Figures (5)

  • Figure 1: Preview: A participant performing a navigation task using our "Point n Move" interface. It involves the use of a modified glove-based pointing device.
  • Figure 2: Schematic Diagram of Circuit Implementation Angle of Inclination of Accelerometer in MPU 6050
  • Figure 3: Final Glove-Based Prototype
  • Figure 4: Navigation Task from laubheimer_2019
  • Figure 5: Various figures showing different plots of times taken when using the two iterations of the prototype.