Abstract
This study presents a GOMS based model that can predict the performance time of hierarchical menu interface. In the existing GOMS based models, to predict the performance time of hierarchical menu interface, the prediction models are structured under the assumption that all tasks of selecting an item on the menu are experienced tasks. This study presents a model that can predict the performance time of experienced tasks and that of inexperienced tasks separately. When this model is applied, more accurate prediction of the performance time of hierarchical menu interface of mobile phone that include both the experienced and inexperienced tasks will be possible.
This model is designed by measuring the performance time of actual users and the accuracy of prediction is evaluated through an experiment
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References
St. Amant, R., Horton, T., Ritter, F.: Model-based evaluation of cell phone menu interaction. In: Proceedings of the Conference on Human Factors in Computing Systems, pp. 343–350 (2004)
Silfverberg, M., MacKenzie, I.S., Korhonen, P.: Predicting text entry speed on mobile phones. In: Proceedings of CHI, pp. 9–16. ACM, New York (2000)
Gray, W.D., John, B.E., Atwood, M.E.: Project Ernestine: Validating a GOMS analysis for predicting and explaining real-world task performance (1993)
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Lee, J., Paik, D. (2007). An Improved Model to Evaluate Menu Hierarchies for Mobile Phones. In: Jacko, J.A. (eds) Human-Computer Interaction. Interaction Platforms and Techniques. HCI 2007. Lecture Notes in Computer Science, vol 4551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73107-8_45
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DOI: https://doi.org/10.1007/978-3-540-73107-8_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73106-1
Online ISBN: 978-3-540-73107-8
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