Abstract
In this paper, we propose a purchasing support system for offline stores that can present information to users without being evasive by interactively presenting a small amount of product information according to their interest in the product as predicted by the system. We design and implement a proof-of-concept system for an actual use case scenario: a snack purchasing area in an office. We evaluated the effectiveness of the proposed system through a snack purchasing experiment with 11 participants. Experimental results suggest that the proposed method can induce user interest and encourage viewing and that some users may receive and consider the information presented while making a purchase.
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References
Atalay, A.S., Bodur, H.O., Rasolofoarison, D.: Shining in the center: central gaze cascade effect on product choice. J. Consumer Res. 39(4), 848–866 (2012)
Bianchi, F., Garnett, E., Dorsel, C., Aveyard, P., Jebb, S.A.: Restructuring physical micro-environments to reduce the demand for meat: a systematic review and qualitative comparative analysis. Lancet Planetary Health 2(9), e384–e397 (2018)
Clement, J., Kristensen, T., Grønhaug, K.: Understanding consumers’ in-store visual perception: the influence of package design features on visual attention. J. Retail. Consum. Serv. 20(2), 234–239 (2013)
Crockett, R.A., et al.: Nutritional labelling for healthier food or non-alcoholic drink purchasing and consumption. Cochrane Database Syst. Rev. 2, CD009315 (2018)
Eppler, M.J., Mengis, J.: The concept of information overload-a review of literature from organization science, accounting, marketing, mis, and related disciplines (2004). Kommunikationsmanagement im Wandel, pp. 271–305 (2008)
Gao, J., Zhang, C., Wang, K., Ba, S.: Understanding online purchase decision making: the effects of unconscious thought, information quality, and information quantity. Decis. Support Syst. 53(4), 772–781 (2012)
Gonçalves, D., Coelho, P., Martinez, L.F., Monteiro, P.: Nudging consumers toward healthier food choices: a field study on the effect of social norms. Sustainability 13(4), 1660 (2021)
Hartmann-Boyce, J., et al.: Grocery store interventions to change food purchasing behaviors: a systematic review of randomized controlled trials. Am. J. Clin. Nutr. 107(6), 1004–1016 (2018)
Jacob, S., Ishimaru, S., Bukhari, S.S., Dengel, A.: Gaze-based interest detection on newspaper articles. In: Proceedings of the 7th Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction. PETMEI 2018, Association for Computing Machinery, New York, NY, USA (2018). https://doi.org/10.1145/3208031.3208034
Karolus, J., Dabbert, P., Wozniak, P.W.: I know what you want: Using gaze metrics to predict personal interest. In: The 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings, pp. 105–107. UIST 2018 Adjunct, Association for Computing Machinery, New York, NY, USA (2018). https://doi.org/10.1145/3266037.3266116
Kim, M., Lee, M.K., Dabbish, L.: Shop-i: Gaze based interaction in the physical world for in-store social shopping experience. In: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, pp. 1253–1258 (2015)
Klasnja, P., Consolvo, S., Pratt, W.: How to evaluate technologies for health behavior change in HCI research. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 3063–3072 (2011)
Li, Y., et al.: Towards measuring and inferring user interest from gaze. In: WWW, pp. 525–533 (2017)
Marangunić, N., Granić, A.: Technology acceptance model: a literature review from 1986 to 2013. Univ. Access Inf. Soc. 14(1), 81–95 (2015)
Nakanishi, M., Takahashi, M.: Information design for purposeless information searching based on optimum stimulation level theory. In: Yamamoto, S., Mori, H. (eds.) HIMI 2018. LNCS, vol. 10905, pp. 132–143. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92046-7_12
Reutskaja, E., Hogarth, R.M.: Satisfaction in choice as a function of the number of alternatives: When “goods satiate". Psychol. Market. 26(3), 197–203 (2009)
Schiavo, G., Mencarini, E., Vovard, K.B., Zancanaro, M.: Sensing and reacting to users’ interest: an adaptive public display. In: CHI2013 Extended Abstracts on Human Factors in Computing Systems, pp. 1545–1550 (2013)
Seyedghorban, Z., Tahernejad, H., Matanda, M.J.: Reinquiry into advertising avoidance on the internet: a conceptual replication and extension. J. Advert. 45(1), 120–129 (2016)
Speck, P.S., Elliott, M.T.: Predictors of advertising avoidance in print and broadcast media. J. Advert. 26(3), 61–76 (1997)
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Tokunaga, T. et al. (2023). System to Induce Accepting Unconsidered Information by Connecting Current Interests. In: Meschtscherjakov, A., Midden, C., Ham, J. (eds) Persuasive Technology. PERSUASIVE 2023. Lecture Notes in Computer Science, vol 13832. Springer, Cham. https://doi.org/10.1007/978-3-031-30933-5_8
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DOI: https://doi.org/10.1007/978-3-031-30933-5_8
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