Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Effects of Different Patterns of Progress Spinner on Perceived Downloading Speed and Overall Satisfaction

Progress Spinner의 진행 패턴 차이가 사용자의 인지 진행 속도 및 만족도에 미치는 영향 연구

  • Park, Kyeongjin (Department of Industrial Engineering, Hongik University) ;
  • Kim, Kyungdoh (Department of Industrial Engineering, Hongik University)
  • 박경진 (홍익대학교 산업공학과) ;
  • 김경도 (홍익대학교 산업공학과)
  • Received : 2016.08.09
  • Accepted : 2017.02.24
  • Published : 2017.06.15
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Abstract

Progress indicators provide information about downloading progress and the remaining time. Two common forms of indicator are bar and spinner. However, most studies have focused on the form of bar. Therefore, we are going to investigate which patterns of progress spinner show better perceived speed and satisfaction. Also the effects of provision of time information were studied. This study provided the progress spinner with different patterns with 4 seconds and 12 seconds download latencies. The participants evaluated overall satisfaction and perceived downloading speed. As a result, 'Speed Up' patterns showed the higher perceived downloading speed and satisfaction than 'Speed Down' patterns. In 4s situation, it was better with time information was absent. In 12s situation, it was higher in terms of the perceived downloading speed when time information was provided.

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References

  1. Allan, L. G. (1979), The perception of time, Perception & Psychophysics, 26(5), 340-354. https://doi.org/10.3758/BF03204158
  2. Berque, D. A. and Goldberg, M. K. (1992), Monitoring an algorithm's execution, Computational Support for Discrete Mathematics, DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 15, 153-163.
  3. Brewster, S., Chohan, F., and Brown, L. (2007), Tactile feedback for mobile interactions, In Proc. Conf. on Human factors in computing systems, 159-162.
  4. Cohen, B. S. C. P. M., Jacobs, S., Plaisant, C., and Shneiderman, B. (2009), Designing the User Interface : Strategies for Effective Human-Computer Interaction, Addison Wesley, Boston, United States.
  5. Conrad, F. G., Couper, M. P., Tourangeau, R., and Peytchev, A. (2010), The impact of progress indicators on task completion, Interacting with computers, 22(5), 417-427. https://doi.org/10.1016/j.intcom.2010.03.001
  6. Crease, M. and Brewster, S. (1998), Making progress with sounds-the design & evaluation of an audio progress bar, Proc. Int. Conf. on Auditory DisPlay.
  7. Enomoto, T., Ohnishi, K., and Yoshida, K. (2006), A study on the relationship between progress bar movement and subjective speed impression, Proc. 8th Conf. on Japan Society for Fuzzy Theory and Intelligent Informatics, 37-40.
  8. Galletta, D. F., Henry, R., McCoy, S., and Polak, P. (2004), Web site delays : How tolerant are users?, Journal of the Association for Information Systems, 5(1), 1. https://doi.org/10.17705/1jais.00044
  9. Hamada, K., Yoshida, K., Ohnishi, K., and Koppen, M. (2011), Color effect on subjective perception of progress bar speed, Proc. 3th Int. Conf. on In Intelligent Networking and Collaborative Systems, 863-866.
  10. Harrison, C., Amento, B., Kuznetsov, S., and Bell, R. (2007), Rethinking the progress bar, Proc. 20th ACM symposium on User interface software and technology, 115-118.
  11. Hoxmeier, J. A. and DiCesare, C. (2000), System response time and user satisfaction : An experimental study of browser-based applications, Proc. Conf. on AMCIS, 347.
  12. Matzat, U., Snijders, C., and van der Horst, W. (2009), Effects of different types of progress indicators on drop-out rates in web surveys, Social Psychology, 40(1), 43-52. https://doi.org/10.1027/1864-9335.40.1.43
  13. Ma, W. and Lee, D. H. (2010), A Study on the progress bar's styles in Chinese websites, Proc. Conf. on Korea Contents Association Comprehensive, 520-523 .
  14. Myers, B. A. (1985), The importance of percent-done progress indicators for computer-human interfaces, ACM SIGCHI Bulletin, 16(4), 11-17.
  15. Nielsen, J. and Molich, R. (1990), Heuristic evaluation of user interfaces, Proc. Conf. on Human factors in computing systems, 249-256.
  16. Ohtsubo, M. and Yoshida, K. (2014), How does shape of progress bar effect on time evaluation, Proc. Int. Conf. on Intelligent Networking and Collaborative Systems, 316-31.
  17. Scott, B. and Neil, T. (2009), Designing web interfaces : Principles and patterns for rich interactions, O'Reilly Media, Inc., California, United States.
  18. Shapiro, S. S. and Wilk, M. B. (1965), An analysis of variance test for normality (complete samples), Biometrika, 591-611.
  19. Villar, A., Callegaro, M., and Yang, Y. (2013), Where am I? A metaanalysis of experiments on the effects of progress indicators for web surveys, Social Science Computer Review, 31(6), 744-762. https://doi.org/10.1177/0894439313497468