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All issues Volume 664 (2025) E3S Web Conf., 664 (2025) 01010 References
Open Access
Issue
E3S Web Conf.
Volume 664, 2025
4th International Seminar of Science and Applied Technology: “Green Technology and AI-Driven Innovations in Sustainability Development and Environmental Conservation” (ISSAT 2025)
Article Number 01010
Number of page(s) 8
Section Artificial Intelligence and Human-Computer Interaction
DOI https://doi.org/10.1051/e3sconf/202566401010
Published online 20 November 2025
  1. J. Han, Mobile Financial Service Adoption Among Elderly Consumers: The Roles of Technology Anxiety, Familiarity, and Age, FinTech. 4, 36, (2025). https://doi.org/10.3390/fintech4030036 [Google Scholar]
  2. A.T. Bin Serojai, H.B. Ujir, I.H.B.M. Hipiny, E-commerce readiness assessment in Sarawak, Acta Inform. Pragensia 59, 195–206 (2021). https://doi.org/10.18267/J.AIP.153 [Google Scholar]
  3. M. Al-Emran, V. Mezhuyev, A. Kamaludin, Technology Acceptance Model in M- learning context: A systematic review, Comput. Educ. 12, 389–412 (2018). https://doi.org/10.1016/j.compedu.2018.06.008 [Google Scholar]
  4. B.S. Omotosho, Analyzing user experience of mobile banking applications in Nigeria: A text mining approach, Cent. Bank Niger. J. Appl. Stat. 12, 77–108 (2021). https://doi.org/10.33429/cjas.12121.4/6 [Google Scholar]
  5. A.B. Nair, K.S. Prabhu, B.R. Aditya, C.V. Durgalashmi, A.S. Prabhu, Study on the usage of mobile banking application during COVID-19 pandemic, Webology 18, 190–207 (2021). https://doi.org/10.14704/WEB/V18SI02/WEB18066 [Google Scholar]
  6. K. Hamid, M.W. Iqbal, H.A.B. Muhammad, Z. Fuzail, Z.T. Ghafoor, S. Ahmad, Usability evaluation of mobile banking applications in digital business as emerging economy, Int. J. Comput. Sci. Netw. Secur. 22, 250–260 (2022). [Google Scholar]
  7. H. M. Sitorus, R. Govindaraju, I. I. Wiratmadja, I. Sudirman, Examining the Role of Usability, Compatibility and Social Influence in Mobile Banking Adoption in Indonesia, International Journal of Technology. 10, 351–362, (2019). https://doi.org/10.14716/ijtech.v10i2.886 [Google Scholar]
  8. A.G. Asali, Social media analysis for investigating consumer sentiment on mobile banking, J. Int. Commun. Prof. 4, 241–253 (2021). https://doi.org/10.32535/jicp.v4i2.1247 [Google Scholar]
  9. K.I. Rachmawati, M. Bukhori, Y. Majidah, S. Hidayatullah, A. Waris, Analysis of use of mobile banking with acceptance and use of technology (UTAUT), Int. J. Sci. Technol. Res. 9, 534–540 (2021). [Google Scholar]
  10. G. Fenu, P.L. Pau, An analysis of features and tendencies in mobile banking apps, Procedia Comput. Sci. 56, 26–33 (2015). https://doi.org/10.1016/j.procs.2015.07.177 [Google Scholar]
  11. B. Chen, Mobile APP interface design process analysis, Adv. Soc. Sci. Educ. Humanit. Res. 300, 353–356 (2019). https://doi.org/10.2991/erss-18.2019.69 [Google Scholar]
  12. A. Munawar, W. Usino, User interface analysis to increase user experience on computer-based test application: Case study SMK Negeri 4 Pandeglang, in Proc. Int. Conf. IT, Commun. Technol. Better Life (ICT4BL 2019) 5, 83–86 (2020). https://doi.org/10.5220/0008929700830086 [Google Scholar]
  13. N. Al Said, K. M. Al-Said, Assessment of Acceptance and User Experience of Human- Computer Interaction with a Computer Interface, International Journal of Interactive Mobile Technologies (iJIM). 14, 107–125 (2020). https://doi.org/10.3991/ijim.v14i11.13943 [Google Scholar]
  14. T. Sitorus, H. Tannady, Synergy, system IT, risk management and the influence on cyber terrorism and hoax news action, J. Theor. Appl. Inf. Technol. 99, 1802–1814 (2021). [Google Scholar]
  15. A.C. dos Santos Pergentino, E.D. Canedo, F. Lima, F.L.L. de Mendonça, Usability heuristics evaluation in search engine, Lect. Notes Comput. Sci. 12200, 351–369 (2020). https://doi.org/10.1007/978-3-030-49713-2_25 [Google Scholar]
  16. R.Y. Gómez, D.C. Caballero, J.L. Sevillano, Heuristic evaluation on mobile interfaces: A new checklist, Sci. World J. (2014). https://doi.org/10.1155/2014/434326 [Google Scholar]
  17. J. Li, Y. Zhang, X. Wang, et al., A study on the impact of icon structural features in human–computer interaction, Ergonomics. 67, e2366343, (2024). https://doi.org/10.1080/00140139.2024.2366343 [Google Scholar]
  18. M. Langote, S. Saratkar, P. Kumar, P. Verma, C. Puri, S. Gundewar, P. Gourshettiwar, Human–computer interaction in healthcare: Comprehensive review, AIMS Bioengineering. 11, 343–390, (2024). https://doi.org/10.3934/bioeng.2024018 [Google Scholar]
  19. N. Rizkalla, H. Tannady, R. Bernando, Analysis of the influence of performance expectancy, effort expectancy, social influence, and attitude toward behavior on intention to adopt Live.On, Multidiscip. Rev. 6, 2023spe017 (2024). https://doi.org/10.31893/multirev.2023spe017 [Google Scholar]
  20. P. Naruetharadhol, C. Ketkaew, H. Hongkanchanapong, Factors affecting sustainable intention to use mobile banking services, SAGE Open 11, (2021). https://doi.org/10.1177/21582440211029925 [Google Scholar]
  21. A. Reyes-Lecuona, C. Manresa-Yee, L. Molina-Tanco, B. Montalvo, C. González- González, Advanced human–computer interfaces for promoting inclusive communication and social interaction, Universal Access in the Information Society. 23, 1–2, (2024). https://doi.org/10.1007/s10209-023-01061-3 [Google Scholar]
  22. N. Azis, A. Edinata, J.F. Andry, H. Tannady, Audit of IT helpdesk application using COBIT 5, AIP Conf. Proc. 2798, (2023). https://doi.org/10.1063/5.0170363 [Google Scholar]
  23. L. Kaewkitipong, C. Chen, J. Han, P. Ractham, Human–Computer Interaction (HCI) and Trust Factors for the Continuance Intention of Mobile Payment Services, Sustainability. 14, 14546, (2022). https://doi.org/10.3390/su142114546 [Google Scholar]

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