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Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
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The effects of display size on performance.

P A Hancock1, B D Sawyer, S Stafford

  • 1a MIT Laboratory , University of Central Florida , 4000 Central Florida Boulevard, Orlando , FL 32816 , USA.

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Display size significantly impacts task performance, especially under time pressure. Small screens degrade performance and increase workload, establishing a minimum size threshold for demanding tasks.

Keywords:
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Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Ergonomics

Background:

  • Understanding the impact of display size on user performance is crucial for effective interface design.
  • Previous research has not systematically evaluated display size effects across varying time pressures and cognitive tasks.

Purpose of the Study:

  • To investigate the systematic effects of display size on task performance, including response speed, accuracy, and subjective workload.
  • To determine the influence of different screen sizes and time pressure levels on cognitive and psychomotor tasks.

Main Methods:

  • Conducted three experiments using a standard perceptual and cognitive test battery.
  • Varied screen sizes (four levels) and time pressure (three levels) while measuring performance metrics.
  • Assessed response speed, response accuracy, and subjective workload.

Main Results:

  • Time pressure universally affected all performance measures (speed, accuracy, workload).
  • Display size effects were dependent on viewing conditions and time pressure.
  • Performance decrements and increased workload were observed only on the smallest display size under high time pressure.

Conclusions:

  • A minimum display screen size threshold is identified for specific task demands.
  • Findings inform the design and implementation of interfaces across various cognitive and psychomotor tasks.
  • Optimizing display size is critical for maintaining performance and managing workload under time constraints.