APPLICATION OF PLACEBO EFFECT INTERFACE DESIGN IN IMPROVING THE USER EXPERIENCE
DOI:
https://doi.org/10.20319/pijss.2019.51.913924Keywords:
Placebo Effect, APP Launch Page, Loading Method, User Experience, Kano ModelAbstract
The Internet is a virtual architecture of the real world. Traditional designers often transplant real-life experiences into Internet product design to reduce learning costs. The user interface is the language of communication between the two worlds. The user experience can make the virtual world communicate more smoothly with the real world. It is difficult for designers to balance user needs with business needs if they rely solely on traditional life experiences. Because both are competing for users' time. Thus, we can balance the needs of both parties by using the placebo effect to reduce the anxiety of the user waiting. This article takes the loading method of APP startup page as an example, from the perspective of Internet interface design and user experience, to explore how to optimize the user experience and reduce anxiety. Using the questionnaire method and the sounding thinking method to obtain the user's data. The correlation between different requirements was obtained by using the Likert scale and One-factor dependent sample ANOVA. The Kano model was used to classify the data into different levels of requirements. This study has contributed to the study of user experience in optimizing the loading interface.
References
Beecher, H. K. J. J. o. t. A. M. A. (1955). The powerful placebo. 159(17), 1602-1606. https://doi.org/10.1001/jama.1955.02960340022006
Chu, D., Kansal, A., Liu, J., & Zhao, F. (2011). Mobile Apps: It's Time to Move Up to CondOS. Paper presented at the HotOS.
Fogg, B. J. (2009). A behavior model for persuasive design. Paper presented at the Proceedings of the 4th international Conference on Persuasive Technology. https://doi.org/10.1145/1541948.1541999
Galletta, D. F., Henry, R., McCoy, S., & Polak, P. J. J. o. t. A. f. I. S. (2004). Web site delays: How tolerant are users? , 5(1), 1. https://doi.org/10.17705/1jais.00044
Hoxmeier, J. A., & DiCesare, C. J. A. P. (2000). System response time and user satisfaction: An experimental study of browser-based applications. 347.
Liu Sen, Zhong. Shang., He Jingqin, & Li Xinxin. (2016). Mobile client APP system time user experience research (2016 28), 187-188.
Ma, J., Chen, C.-C., & Lin, Y.-C. (2018). Emotional and Cognitive Assessment of Use of Functional Animation. Paper presented at the Proceedings of the International Conference on Machine Vision and Applications. https://doi.org/10.1145/3220511.3220516
Nah, F. F.-H. J. B., & Technology, I. (2004). A study on tolerable waiting time: how long are web users willing to wait? , 23(3), 153-163. https://doi.org/10.1080/01449290410001669914
Orji, R., Reilly, D., Oyibo, K., Orji, F. A. J. B., & Technology, I. (2019). Deconstructing persuasiveness of strategies in behaviour change systems using the ARCS model of motivation. 38(4), 319-335. https://doi.org/10.1080/0144929X.2018.1520302
Orji, R., Tondello, G. F., & Nacke, L. E. (2018). Personalizing persuasive strategies in gameful systems to gamification user types. Paper presented at the Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3173574.3174009
Qiu. J. (2010).Thesis of the Department of Industrial Design, University of Success, Cognitive discussion of the emotional effects of odour and figurative products. 1-141.
Yan, T., Chu, D., Ganesan, D., Kansal, A., & Liu, J. (2012). Fast app launching for mobile devices using predictive user context. Paper presented at the Proceedings of the 10th international conference on Mobile systems, applications, and services. https://doi.org/10.1145/2307636.2307648
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