Optimizing the Touch Tablet: The Effects of Lead-Lag Compensation and Tablet Size

Abstract

The display control (DC) gain of a touch tablet strongly affects human performance with the tablet. The primary objectives of this research were to develop and optimize a variable D/C gain that improves human performance with touch tablets. This variable gain moderates the speed-accuracy tradeoff problem associated with conventional D/C gains. An additional objective of this research was to determine the effect of tablet size on human performance. Display control (D/C) gain is defined as the amount of movement which occurs on the display in response to a unit amount of movement of the control. With conventional D/C gains, there is a tradeoff between low D/C gain which enables time positioning, but results in very slow cursor movement, and high D/C gain which produces quick cursor movement but results in poor fine positioning ability. A lead-lag compensator was developed to ameliorate this tradeoff. This compensator combines a pure position gain component with a gain component proportional to the velocity of fire control input. The results indicate that the lead-lag compensator increased target acquisition rate relative to a conventional D/C gain system. Error rates were low with both systems, but were greater with lead- lag compensation than in an uncompensated system. Tablet size did not appear to affect performance. Keywords: User computer interface, Input devices, Human performance.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1988
Accession Number
ADA198205

Entities

People

  • J. A. Becker
  • J. S. Greenstein

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • C4I
  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Analysis Of Variance
  • Command And Control
  • Compensation
  • Compensators
  • Computer Graphics
  • Computers
  • Control Systems
  • Digital Filters
  • Education
  • Experimental Design
  • Human Factors Engineering
  • Psychology
  • Security
  • Target Acquisition
  • Transfer Functions

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Control Systems Engineering.
  • Human-Computer Interaction (HCI).