DOI QR코드

DOI QR Code

Applying CPM-GOMS to Two-handed Korean Text Entry Task on Mobile Phone

  • Back, Ji-Seung (Department of Industrial Management Engineering, Korea University) ;
  • Myung, Ro-Hae (Department of Industrial Management Engineering, Korea University)
  • Received : 2010.10.28
  • Accepted : 2010.12.06
  • Published : 2011.04.30

Abstract

In this study, we employ CPM-GOMS analysis for explaining physical and cognitive processes and for quantitatively predicting when users are typing Korean text messages on mobile phones using both hands. First, we observe the behaviors of 10 subjects, when the subjects enter keypads with both hands. Then, basing upon MHP, we categorize the behaviors into perceptual, cognitive, motor operators, and then we analyze those operators. After that, we use the critical paths to model two task sentences. Also, we used Fitts' law method which was applied many times to predict text entering time on mobile phone to compare with the results of our CPM-GOMS model. We followed Lee's (2008) method that is well suited for text entry task using both hands and calculate total task time for each task sentences. For the sake of comparison between the actual data and the results predicted from our CPM-GOMS model, we empirically tested 10 subjects and concluded that there were no significant differences between the predicted values and the actual data. With the CPM-GOMS model, we can observe the human information processes composed on the physical and cognitive processes. Also we verified that the CPM-GOMS model can be well applied to predict the users' performance when they input text messages on mobile phones using both hands by comparing the predicted total task time with the real execution time.

Keywords

References

  1. Anderson, J. R., The Architecture of Cognition. Cambridge, MA: Harvard University Press, 1983.
  2. Bergman, E., Information Appliance and Beyond, Interaction Design for Consumer Products, 1stEd., Morgan Kaufmann Publisher, 2000.
  3. Byrne, M. D., Cognitive Architecture, In J. Jacko & A. Sears (Eds.), The human-computer interaction handbook: Fundamentals, evolving technologies and emerging applications. Lawrence Erlbaum Associates, Mahwah, New Jersey, 97-117, 2003.
  4. Card, S. K., Moran, T. P. & Newell, A., The Psychology of Human-Computer Interaction, Hillsdale, NJ: Lawrence Erlbaum Associates, Inc, 1983.
  5. Choi, S., The Roles of Speech, Text and Images in Mobile Communication, Proceeding of the 2000 Spring Conference or ESK and International Ergonomics Symposium, 291-294, 2000.
  6. Das, A. & Stuerzlinger, W., A Cognitive Simulation Model for Novice Text Entry on Cell Phone Keypads, Proceedings of the European Conference on Cognitive Ergonomics (ECCE 2007), London, UK, 141-147, 2007.
  7. Gray, W. D., John B. E. & Atwood M. E., Project Ernestine: Validating a GOMS Analysis for Predicting and Explaining Real-World Task Performance, Human-Computer Interaction, 8(3), 237-309, 1993. https://doi.org/10.1207/s15327051hci0803_3
  8. John, B. E., Extensions of GOMS analyses to expert performance requiring perception of dynamic visual and auditory information. Proceedings of the CHI 90 Conference on Human Factors in Computing Systems, New York: ACM, 107-115, 1990.
  9. John, B. E. & Kieras D. E., Using GOMS for User Interface Design and Evaluation: Which Technique?, ACM Transactions on Computer- Human Interaction, 3(4), 287-319, 1996a. https://doi.org/10.1145/235833.236050
  10. John, B. E. & Kieras D. E., The GOMS family of user interface analysis techniques: Comparison and contrast, ACM Transactions on Computer-Human Interaction, 3(4), 320-351, 1996b. https://doi.org/10.1145/235833.236054
  11. John, B. E. & Newell, A., Cumulating the science of HCI: From S-R compatibility to transcription typing, Proceedings of the CHI '89 Conference on Human Factors in Computing Systems, New York: ACM, 109-114, 1989.
  12. Kieras, D. E., Model-based evaluation, In J. Jacko & A. Sears (Eds.), The Human-Computer Interaction Handbook (2nd Ed), Lawrence Erlbaum Associates, Mahwah, New Jersey, 1139-1151, 2007.
  13. Kieras, D. E. & Meyer, D. E., The EPIC architecture: Principles of operation, from ftp://ftp.eecs.umich.edu/people/kieras/EPICarch.ps, 1996.
  14. MacKenzie, I. S. & Soukoreff, R. W., A model of two-thumb text entry. Proceedings of Graphics Interface 2002, Toronto, Canada, 117-124, 2002.
  15. Myung, R., Keystroke-level analysis of Korean text entry methods on mobile phones. International Journal of Human-Computer Studies, 60, 545-563, 2004 https://doi.org/10.1016/j.ijhcs.2003.10.002
  16. Newell, A., Unified theories of cognition. Cambridge, MA: Harvard University Press, 1990.
  17. Silfverberg, M., MacKenzie, I. S. & Korhonen P., Predicting Text Entry Speed on Mobile Phones, Proc of CHI 2000 Letters, 2(1), 9-16, 2000.
  18. 기도형., 실물 이동 전화를 이용한 한글 입력 방식의 수행도 및 선호도 평가, 대한인간공학회지, 25(3), 33-41, 2006. https://doi.org/10.5143/JESK.2006.25.3.033
  19. 김상환, 김경민, 명노해., 이동전화 한글 입력 시스템의 물리적 인터페이스 평가에 관한 연구, 대한인간공학회지, 28(2), 193-200, 2002.
  20. 정부용., 핸드헬드 기기에서 두 손 조작을 통한 포인팅과 문자 입력에 관한 연구, 한국과학기술원 석사학위 논문, 2006.
  21. 이주우., 양 손을 이용한 모바일 폰에서의 한글 입력 수행도 예측모델에 대한 연구, 대한인간공학회지, 27(4), 73-83, 2008.

Cited by

  1. A Unit Touch Gesture Model of Performance Time Prediction for Mobile Devices vol.35, pp.4, 2016, https://doi.org/10.5143/JESK.2016.35.4.277