Eye scan patterns of the time use trait and its use in management

Yan Zhang, Ravindra S. Goonetilleke

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The time use trait of monchronicity and polychronicity, which relates to one's ability to do one thing and many things at a time respectively, has been known for a long time. However, its implications on how people scan and attend to information are not so clear. This study is an attempt to investigate the attentional strategy differences between monochrons (M) and polychrons (P) under different task conditions using eye scan equipment. Two groups of participants (monochrons and polychrons) performed a dual control task having 3 task priorities and 4 task difficulty levels. The results showed significant differences in scanning patterns between monochrons and polychrons, among task priorities and/or task difficulty levels. Results of this study may be useful in semi-automated systems in order to achieve optimal performance.
Original languageEnglish
Title of host publicationWMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.
Pages249-253
Number of pages5
Volume6
Publication statusPublished - 1 Dec 2006
Externally publishedYes
Event10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Orlando, FL, United States
Duration: 16 Jul 200619 Jul 2006

Conference

Conference10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006
CountryUnited States
CityOrlando, FL
Period16/07/0619/07/06

Keywords

  • Control strategy
  • Eye scanning
  • Multitasking
  • Time use

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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