Journal of the Ergonomics Society of Korea (대한인간공학회지)

Ergonomics Society of Korea (대한인간공학회)
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Prediction of Human Performance Time to Find Objects on Multi-display Monitors using ACT-R Cognitive Architecture

  • Oh, Hyungseok (School of Industrial Management Engineering, Korea University) ;
  • Myung, Rohae (School of Industrial Management Engineering, Korea University) ;
  • Kim, Sang-Hyeob (BT Convergence Technology Research Department, Electronics and Telecommunications Research Institude) ;
  • Jang, Eun-Hye (BT Convergence Technology Research Department, Electronics and Telecommunications Research Institude) ;
  • Park, Byoung-Jun (BT Convergence Technology Research Department, Electronics and Telecommunications Research Institude)
  • Received : 2012.05.14
  • Accepted : 2013.03.20
  • Published : 2013.04.30
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Abstract

Objective: The aim of this study was to predict human performance time in finding objects on multi-display monitors using ACT-R cognitive architecture. Background: Display monitors are one of the representative interfaces for interaction between people and the system. Nowadays, the use of multi-display monitors is increasing so that it is necessary to research about the interaction between users and the system on multi-display monitors. Method: A cognitive model using ACT-R cognitive architecture was developed for the model-based evaluation on multi-display monitors. To develop the cognitive model, first, an experiment was performed to extract the latency about the where system of ACT-R. Then, a menu selection experiment was performed to develop a human performance model to find objects on multi-display monitors. The validation of the cognitive model was also carried out between the developed ACT-R model and empirical data. Results: As a result, no significant difference on performance time was found between the model and empirical data. Conclusion: The ACT-R cognitive architecture could be extended to model human behavior in the search of objects on multi-display monitors.. Application: This model can help predicting performance time for the model-based usability evaluation in the area of multi-display work environments.

Keywords

References

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