Abstract
More and more people pay using cashless payment methods rather than paying cash. In addition to online stores, more and more stores in the real world accept cashless payments, such as Apple Pay, Google Pay, etc. However, people notice that using cashless payments makes them spend more than necessary unconsciously. Some applications would notify the amount of payment on the cashless payment, but they are just after-notices and rarely draw people’s feeling to the money spent. A better method is required to prevent wasting money before payment. In this paper, we implement eight user interfaces to avoid waste on mobile payment applications. These interfaces would inhibit users’ payment actions for several seconds before they make the final confirmation. We compared the eight user interfaces through evaluation experiments with 25 participants. We found features of the user interfaces that were suitable for preventing waste. In evaluation experiments, we gave a shopping scenario with wasting, and we asked the participants to use the implemented user interface. The participants answered the degree of effect of wasting prevention about the implemented user interface. They also answered the degree of frustration in using the assigned user interface. Experimental results showed that the participants would escape from wasting more if the user interface gave a pleasant task in specific periods.
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References
Shan, A., Eisenkraft, N., Bettman, J.R., Chartrand, T.L.: “Paper or Plastic”: how we pay influences post-transaction connection. J. Cons. Res. 42(5), 688–708 (2016)
Altmann, E.M., Trafton, J.G., Hambrick, D.Z.: Momentary interruptions can derail the train of thought. J. Exp. Psychol. 143(1), 215–22 (2014)
Farr-Wharton, G., Foth, M., and Choi, J. H.: Colour coding the fridge to reduce food waste. In Proceedings of the 24th Australian Computer-Human Interaction Conference, pp. 119–122 (2012)
Altarriba, F., Lanzani, S. E., Torralba, A., Funk, M.: The grumpy bin: reducing food waste through playful social interactions. In: Proceedings of the 2017 ACM Conference Companion Publication on Designing Interactive Systems, pp. 90–94 (2017)
Yalvaç, F., Lim, V., Hu, J., Funk, M., Rauterberg, M. : Social recipe recommendation to reduce food waste. In: CHI 2014 Extended Abstracts on Human Factors in Computing Systems (2014)
Xu, X., et al: TypeOut: leveraging just-in-time self-affirmation for smartphone overuse reduction. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, pp. 1–17 (2022)
Omi, R., Nishihara, Y., Yamanishi, R.: Extraction of paraphrases using time series deep learning method. In: International MultiConference of Engineers and Computer Scientists 2019, pp. 276–278 (2019)
Kurihara, K., Tsukada, K.: SpeechJammer: a system utilizing artificial speech disturbance with delayed auditory feedback (2012). http://arxiv.org/abs/1202.6106
Petro, G.: Consumers are spending more per visit in-store than online. What does this mean for retailers?. Forbes (2019). https://www.forbes.com/sites/gregpetro/2019/03/29/consumers-are-spending-more-per-visit-in-store-than-online-what-does-this-man-for-retailers/?sh=7b0a17a77543. Accessed 6 Feb 2023
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Mashiro, D., Nishihara, Y., Shan, J. (2023). Comparative Evaluation of User Interfaces for Preventing Wasteful Spending in Cashless Payment. In: Nah, F., Siau, K. (eds) HCI in Business, Government and Organizations. HCII 2023. Lecture Notes in Computer Science, vol 14039. Springer, Cham. https://doi.org/10.1007/978-3-031-36049-7_26
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DOI: https://doi.org/10.1007/978-3-031-36049-7_26
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