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Grasping an augmented object to analyse manipulative force control.

Satoru Kawai1, Valerie A Summers, Christine L Mackenzie

  • 1Faculty of Humanities, Tezukayama University, Nara, Japan. skawai@tezukayama-u.ac.jp

Ergonomics
|February 6, 2003
PubMed
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Augmented reality (AR) can alter perceived object size, influencing grip force programming. Studies show visual size changes in AR significantly impact fingertip forces during object lifting, even with constant physical properties.

Area of Science:

  • Human-Computer Interaction
  • Robotics
  • Neuroscience

Background:

  • Augmented reality (AR) systems can manipulate visual perception independently of physical object properties.
  • Understanding how visual alterations affect motor control is crucial for designing effective AR applications.

Purpose of the Study:

  • To investigate the impact of visually altered object size in an augmented reality environment on fingertip forces during precision grip tasks.
  • To determine if visual input in AR influences the programming of grip and load forces.

Main Methods:

  • Twenty-one participants performed repeated lifts of a grip apparatus in a 3-D augmented environment.
  • The visual size of the apparatus was graphically altered while its physical properties remained constant.
  • Grip and load forces were measured independently during object lifting and replacement.

Related Experiment Videos

Main Results:

  • Both grip and load forces showed significant increases in rate and peak as the graphical size of the object increased.
  • These changes occurred despite the haptic (touch) feedback remaining constant throughout the experiment.
  • Findings confirm a reliance on visual cues for programming initial lifting forces.

Conclusions:

  • Human motor control in augmented reality is significantly influenced by visual perception, mirroring real-world interactions.
  • Knowledge from physical manipulation tasks can be extended to AR environments with computer-generated visual enhancements.
  • This research highlights the importance of visual fidelity in AR for accurate motor task execution.