题名

行動設備使用者介面設計之時間知覺誤差與等待體驗研究

并列篇名

A Study on the Errors in Time Perception and Waiting Experiences of User Interface Design for Mobile Devices

作者

陳建雄(Chien-Hsiung Chen);李莎莎(Shasha Li)

关键词

使用者介面設計 ; 行動設備 ; 時間知覺誤差 ; 等待體驗 ; User Interface Design ; Mobile Device ; Errors in Time Perception ; Waiting Experience

期刊名称

設計學報

卷期/出版年月

27卷4期(2022 / 12 / 01)

页次

1 - 19

内容语文

繁體中文;英文

中文摘要

對於行動設備的使用者來說,當使用行動應用軟體的頻率愈來愈高時,在介面中遇到等待狀態可能會帶來愈多負面的感受。同時不適當的介面設計可能使得等待狀態的體驗亦是消極的,最終導致使用者對應用軟體的評價不佳,甚至停止使用此軟體。本研究旨在探討線上影片應用軟體的介面設計與等待體驗之間的關係,研究的變項為等待狀態顯示設計與等待時間,探討變項對於使用者時間知覺誤差、速度知覺、注意力與滿意度等方面的影響。研究的進行是採用受試者間(between-subjects)實驗設計,所蒐集資料採雙因子變異數分析(two-way ANOVA),透過立意抽樣的方法共招募72位受試者參與實驗。實驗結果發現:(1)在等待狀態下,如卡通熊型等較複雜的介面顯示設計會增加受試者的時間知覺誤差,而產生比實質時間更長的時間知覺;(2)受試者在5秒等待狀態下產生的時間知覺比實質時間更長,而在15秒等待狀態下產生的時間知覺則比實質時間更短;(3)受試者對於卡通長條型的顯示設計在速度知覺、注意力和滿意度等方面都表現出比長條型和卡通熊型為更正向的等待體驗;(4)受試者的時間知覺誤差、速度知覺、注意力及滿意度之間的關係,很容易受到等待狀態顯示設計的影響,例如在較複雜的顯示設計之下,較短的等待時間反而會使受試者產生比實質時間更長的時間知覺與負面的等待體驗。本研究成果可作為行動設備上等待狀態顯示設計實務上的參考依據。

英文摘要

For mobile device users, encountering a waiting time in using interfaces may create negative experiences, especially when the usage of mobile applications becomes more pervasive. Additionally, an improper user interface design will lead to more negative impressions, poor ratings, and even end up in stop using the application. The objective of this study is to investigate the relationship between waiting experiences and the user interface designs of online video mobile applications. The variables studied here were waiting status interface design and the length of waiting time, aiming to investigate the effects of these two variables on the errors in time perception, speed perception, attention, and satisfaction of the users. The study adopted a between-subjects experimental design, and two-way ANOVA was conducted on the collected data. A total of 72 subjects were recruited to participate in the experiment through purposive sampling. The generated results show that: (1) Under a waiting status, more complicated interface designs such as the cartoon bar type tend to increase the errors in time perception of the subjects, which leads to longer time perception than reality; (2) subjects perceived a longer time under 5 seconds of waiting time and a shorter perceived time under 15 seconds of waiting time; (3) subjects showed more positive waiting experiences in terms of speed perception, attention and satisfaction toward the interface design of canonized long bar; (4) the relationships between the errors in time perception, speed perception, attention, and satisfaction were affected by different interface designs of waiting status, e.g. in the case of a rather complicated interface design, even shorter waiting time can be perceived as longer by subjects and thus resulted in a negative waiting experience. The result of this study can be used as a reference for the guideline of designing interfaces of waiting status for mobile devices.

主题分类 人文學 > 藝術
社會科學 > 傳播學
参考文献
  1. Allan, L. G.(1979).The perception of time.Perception & Psychophysics,26(5),340-354.
  2. Antonides, G.,Verhoef, P. C.,Aalst, M. V.(2002).Consumer perception and evaluation of waiting time: A field experiment.Journal of Consumer Psychology,12(3),193-202.
  3. Bielen, F.,Demoulin, N.(2007).Waiting time influence on the satisfaction-loyalty relationship in services.Managing Service Quality: An International Journal,17(2),174-193.
  4. Bindra, D.,Waksberg, H.(1956).Methods and terminology in studies of time estimation.Psychological Bulletin,53(2),155.
  5. Block, R. A.,Hancock, P. A.,Zakay, D.(2010).How cognitive load affects duration judgments: A meta-analytic review.Acta Psychologica,134(3),330-343.
  6. Block, R. A.,Zakay, D.(1997).Prospective and retrospective duration judgments: A metaanalytic review.Psychonomic Bulletin & Review,4(2),184-197.
  7. Branaghan, R. J.,Sanchez, C. A.(2009).Feedback preferences and impressions of waiting.Human Factors,51(4),528-538.
  8. Chang, B. W.,Ungar, D.(1993).Animation: from cartoons to the user interface.Proceedings of the 6th annual ACM symposium on User interface software and technology,Atlanta, GA:
  9. Chen, C. H.,Li, S.(2020).The effect of visual feedback types on the wait indicator interface of a mobile application.Displays,61,101928.
  10. China Internet Network Information Center (2019). The 44st statistical report on Internet development in China. Retrieved from http://www.cnnic.cn/n4/2022/0401/c138-5138.html
  11. China Internet Network Information Center (2018). The 41st statistical report on Internet development in China. Retrieved from http://www.cnnic.cn/n4/2022/0401/c88-1127.html
  12. Conn, A. P.(1995).Time affordances: The time factor in diagnostic usability heuristics.Proceedings of the SIGCHI Conference on Human Factors in Computing Systems,Denver, CO:
  13. Conrad, F. G.,Couper, M. P.,Tourangeau, R.,Peytchev, A.(2010).The impact of progress indicators on task completion.Interacting with Computers,22(5),417-427.
  14. Cottle, T.J.(1976).Perceiving time: A psychological investigation with men and women.New York, NY:Wiley.
  15. Droit-Volet, S.,Gil, S.(2009).The time-emotion paradox.Philosophical Transactions of the Royal Society B: Biological Sciences,364(1525),1943-1953.
  16. Droit-Volet, S.,Trahanias, P.,Maniadakis, M.(2016).Passage of time judgments in everyday life are not related to duration.Acta Psychologica,173,116-121.
  17. Fraisse, P.(1984).Perception and estimation of time.Annual Review of Psychology,35(1),1-37.
  18. Galletta, D. F.,Henry, R.,McCoy, S.,Polak, P.(2004).Web site delays: How tolerant are users?.Journal of the Association for Information Systems,5(1),1.
  19. Harrison, C.,Amento, B.,Kuznetsov, S.,Bell, R.(2007).Rethinking the progress bar.Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology,Newport, RI:
  20. Harrison, C.,Yeo, Z.,Hudson, S. E.(2010).Faster progress bars: Manipulating perceived duration with visual augmentations.Proceedings of the SIGCHI Conference on Human Factors in Computing Systems,New York, NY:
  21. Hasan, B.(2016).Perceived irritation in online shopping: The impact of website design characteristics.Computers in Human Behavior,54,224-230.
  22. Hohenstein, J.,Khan, H.,Canfield, K.,Tung, S.,Perez Cano, R.(2016).Shorter wait times: The effects of various loading screens on perceived performance.Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems,New York, NY:
  23. Hong, W.,Thong, J. Y. L.,Tam, K. Y.(2004).The effects of information format and shopping task on consumers' online shopping behavior: A cognitive fit perspective.Journal of Management Information Systems,21(3),149-184.
  24. Hornik, J.(1984).Subjective vs. objective time measures: A note on the perception of time in consumer behavior.Journal of Consumer Research,11(1),615-618.
  25. Hornstein, A. D.,Rotter, G. S.(1969).Research methodology in temporal perception.Journal of Experimental Psychology,79(3p1),561-564.
  26. Hoxmeier, J. A.,DiCesare, C.(2000).System response time and user satisfaction: An experimental study of browser-based applications.Proceedings of Americas Conference on Information Systems,Long Beach, CL:
  27. Kaur, P.,Dhir, A.,Rajala, R.(2016).Assessing flow experience in social networking site-based brand communities.Computers in Human Behavior,64,217-225.
  28. Kim, W.,Xiong, S.,Liang, Z.(2017).Effect of loading symbol of online video on perception of waiting time.International Journal of Human-Computer Interaction,12(33),1001-1009.
  29. Lallemand, C.,Gronier, G.(2012).Enhancing user experience during waiting time in HCI: Contributions of cognitive psychology.Proceedings of the Designing Interactive Systems Conference,New York, NY:
  30. Lee, Y.,Chen, A. N.(2019).The effects of progress cues and gender on online wait.Decision Support Systems,123,113070.
  31. Li, S.,Chen, C. H.(2019).The effect of progress indicator speeds on users’ time perceptions and experience of a smartphone user interface.Proceedings of Human-Computer Interaction: Recognition and Interaction Technologies,Cham, Switzerland:
  32. Liikkanen, L. A.,Gómez, P. G.(2013).Designing interactive systems for the experience of time.Proceedings of the 6th International Conference on Designing Pleasurable Products and Interfaces,New York, NY:
  33. Macar, F.,Grondin, S.,Casini, L.(1994).Controlled attention sharing influences time estimation.Memory & Cognition,22(6),673-686.
  34. Maister, D. H.(1984).The psychology of waiting lines.Boston, MA:Harvard Business School.
  35. Matzat, U.,Snijders, C.,van der Horst, W. D.(2009).Effects of different types of progress indicators on drop-out rates in web surveys.Social Psychology,40(1),43-52.
  36. Miller, R. B.(1968).Response time in man-computer conversational transactions.Proceedings of AFIPS’68 on Fall Joint Computer Conference, part I,New York, NY:
  37. Myers, B. A.(1985).The importance of percent-done progress indicators for computer-human interfaces.ACM SIGCHI Bulletin,16(4),11-17.
  38. Nielsen, J. (2009). Powers of 10: Time scales in user experience. Nielsen Norman Group. Retrieved from https://www.nngroup.com/articles/powers-of-10-time-scales-in-ux/
  39. Nielsen, J. (2010). Website response times. Nielsen Norman Group. Retrieved from https://www.nngroup.com/articles/website-response-times/
  40. Nielsen, J.(1993).Usability engineering.London:Academic Press.
  41. Norman, D.(2002).Emotions and design: Attractive things work better.Interactions,9,36-42.
  42. Ohtsubo, M.,Yoshida, K.(2014).How does shape of progress bar effect on time evaluation.Proceedings of 2014 International Conference on Intelligent Networking and Collaborative Systems,Salerno, Italy:
  43. Ornstein, R. E.(1969).On the experience of time.Hammandsworth:Penguin.
  44. Pew Research Center. (2019). Mobile Connectivity in Emerging Economies. Retrieved from https://www.pewresearch.org/internet/2019/03/07/use-of-smartphones-and-social-media-is-common-across-most-emerging-economies/
  45. Pew Research Center. (2011). 71% of online adults now use video-sharing sites. Retrieved from https://www.pewresearch.org/internet/2011/07/26/71-of-online-adults-now-use-video-sharing-sites/
  46. Poushter, J. (2016). Smartphone ownership and internet usage continues to climb in emerging economies. Retrieved from https://www.pewresearch.org/global/2016/02/22/smartphone-ownership-and-internet-usage-continues-to-climb-in-emerging-economies/
  47. Poynter, D.(1989).Judging the duration of time intervals: A process of remembering segments of experience.Advances in Psychology,59,305-331.
  48. Prietch, S. S.,Filgueiras, L. V.(2016).Developing emotion-libras 2.0: An instrument to measure the emotional quality of deaf persons while using technology.Psychology and Mental Health: Concepts, Methodologies, Tools, and Applications,39,947-969.
  49. Purcell, K. (2013). Online video 2013. Retrieved from https://www.pewresearch.org/internet/2013/10/10/online-video-2013/
  50. Rose, G. M.,Evaristo, R.,Straub, D.(2003).Culture and consumer responses to web download time: A four-continent study of mono and polychronism.IEEE Transactions on Engineering Management,50(1),31-44.
  51. Sheng, H.,Lockwood, N. S.(2011).The effect of feedback on web site delay: A perceptual and physiological study.Proceedings of SIGHCI 2011 the workshop on HCI Research in MIS,Shanghai:
  52. Shneiderman, B.(1984).Response time and display rate in human performance with computers.ACM Computing Surveys,16(3),265-285.
  53. Thomas, B. H.,Calder, P.(2001).Applying cartoon animation techniques to graphical user interfaces.ACM Transactions on Computer-Human Interaction (TOCHI),8(3),198-222.
  54. Thomas, E. A. C.,Weaver, W. B.(1975).Cognitive processing and time perception.Perception & Psychophysics,17,363-367.
  55. Vierordt, K. (1868). Der zeitsinn nach versuchen. Tubingen: H. Laupp.
  56. Zakay, D.(2012).Experiencing time in daily life.Psychologist,25(8),578-581.
  57. Zakay, D.,Hornik, J.(1991).How much time did you wait in line? A time perception perspective, time and consumer behavior.Montreal:University of Quebec.
  58. Zhao, W.,Ge, Y.,Qu, W.,Zhang, K.,Sun, X.(2017).The duration perception of loading applications in smartphone: Effects of different loading types.Applied Ergonomics,65,223-232.