Abstract
The main purpose of this paper is to construct the evaluation index of the system and study the degree of influence of the main factors affecting the design of mobile music app from the perspective of user experience. By means of literature research and questionnaire survey, the index system of influencing factors of user experience was established, and the fuzzy DEMATEL model was established. This paper constructs an index system of influencing factors of mobile phone music app user experience, which includes five dimensions (reliability, usability, ease of use, interaction, security) and 19 influencing factors. The 10 key factors affecting the mobile music App user experience were identified, namely, music richness, personalized service, listening function, copyright information protection, interpersonal interaction, system performance, personal information protection, audio quality, interface design and payment protection. Finally, the index system of influencing factors of mobile music App user experience is constructed, and the importance of influencing factors of mobile music App user experience is analyzed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Duan, Y.: On the diversity and inclusion of museums. Chin. Mus. 02, 11–14 (2020)
Chen, G.: Smart museum - new development trend of digital museum. Chin. Mus. 04, 2–9(2013)
Institute of Cultural Economics: 2019 Museum Cultural and creative products market data report. Tsinghua University, Beijing (2019)
Marty, P.F.: Museum websites and museum visitors: before and after the museum visit. Mus. Manag. Curator 22(4), 337–360 (2007)
Fogg, B.J.: A behavior model for persuasive design. In: Proceedings of the 4th International Conference on Persuasive Technology (2009). Article 40
Daae, J.Z., Boks, C.: Reinforcing preliminary design strategy selection guidelines with insight from Fogg’s behavior grid. In: 6th International Conference on Persuasive Technology, Ohio, USA, pp. 1–7. Association for Computing Machinery (2011)
de Toledo, F.P., Devincenzi, S., Kwecko, V., Mota, F.P., Botelho, S.S.C.: A framework for modeling persuasive technologies based on the Fogg behavior model. In: 48th Annual Frontiers in Education (FIE) Conference, San Jose, CA, USA, pp.1–5. IEEE Press (2018)
Guimaraes, M., Emmendorfer, L., Adamatti, D.: Persuasive agent based simulation for evaluation of the dynamic threshold line and trigger classification from the Fogg behavior model. Simul. Model. Pract. Theor. 83, 18–35 (2018)
da Silveira, P.H.B.R., et al.: Behavioral model of online social network users: an adaptation of Fogg’s Behavior Model. In: 15th Brazilian Symposium on Human Factors in Computing Systems, Horizonte, Brazil, pp.1–4. Association for Computing Machinery (2016)
Theopilus, Y., et al.: Persuasive-universal design model for creating user experience in product to solve behavior problems. AIP Conf. Proc. 1977, 030009 (2018)
Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: key issues, process model, and system features. Commun. Assoc. Inf. 24(1), 28 (2009)
Toledo, F. P., et al.: A framework for modeling persuasive technologies based on the Fogg behavior model. In: 2018 IEEE Frontiers in Education Conference (FIE), San Jose, CA, USA, pp. 1–5. IEEE Press (2018)
Fogg, B.J., Euchner, J.: Designing for behavior change—new models and moral issues: an interview with B.J. Fogg. Res. Technol. Manage. 62(5), 14–19 (2019)
da Silveira, P.H.B.R., et al.: A Influência das estratégias persuasivas no comportamento dos usuários no Facebook. In: 13th Brazilian Symposium on Human Factors in Computing Systems, Brazil, pp. 255–264. Association for Computing Machinery (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Du, H., Zhou, M., Li, Y. (2022). Research on Museum Online User Classification and Evaluation Model Based on the Fogg’s Behavior Model. In: Soares, M.M., Rosenzweig, E., Marcus, A. (eds) Design, User Experience, and Usability: Design for Emotion, Well-being and Health, Learning, and Culture. HCII 2022. Lecture Notes in Computer Science, vol 13322. Springer, Cham. https://doi.org/10.1007/978-3-031-05900-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-05900-1_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-05899-8
Online ISBN: 978-3-031-05900-1
eBook Packages: Computer ScienceComputer Science (R0)