Cognitive layout of multi-window system - Effects of background color and size of peripheral window on visual interference

Atsuo Murata, Tetsuya Miyoshi, Michihiro Fujii

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The aim of this study was to explore how the ratio of size and the background color of foveal and peripheral windows affect ed the work efficiency at the foveal window. On the basis of the results, an attempt was made to clarify the cognitive layout of multiple windows that makes the visual interference minimum. It was clarified that the area ratio of the peripheral window to the foveal window was one of the determinant factor that affected the visual interference. Moreover, it was found that the visual interference occurred not during the perceptual process, but during the cognitive process. It was also indicated that the background color on the peripheral window did not affect the visual interference. The background color on the foveal window seems to affect the counting accuracy on the foveal window according to the attractiveness of colors. Some implications for designing multi-window systems were given.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000
Pages241-246
Number of pages6
DOIs
Publication statusPublished - Dec 1 2000
Externally publishedYes
Event9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000 - Osaka, Japan
Duration: Sept 27 2000Sept 29 2000

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000
Country/TerritoryJapan
CityOsaka
Period9/27/009/29/00

Keywords

  • Foveal window
  • Multi-window system
  • Peripheral window
  • Visual interference
  • Visual resource

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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