Assessing User Experience Trends in Next-Gen Mobile Applications
-
DOI:
https://doi.org/10.67228/30715628/IJMIET-2022PI6C4HPublished 05-04-2022
User Experience, Mobile Applications, Next-Generation Systems, Human–Computer Interaction, UX Trends, Mobile Computing Issue
Section
ArticlesHow to Cite
[1]H. Tanaka and Y. Nakamura, “Assessing User Experience Trends in Next-Gen Mobile Applications”, ijmiet, vol. 5, no. 1, pp. 01–15, May 2022, doi: 10.67228/30715628/IJMIET-2022PI6C4H.Abstract
The User Experience (UX) has become one of the come-or-go factors in the successful next-generation mobile applications as users demand more of a smooth, personalized, and smart interactions. The recent rapid innovations in mobile hardware, mobile network infrastructure, including 5G, artificial intelligence (AI), augmented reality (AR) and edge computing have had a significant impact on the way users engage with their mobile systems. This paper will provide an in-depth evaluation of modern trends in user experience in the next generation mobile app based on usability, accessibility, performance, personalisation as well as trust. The paper summarizes the existing scholarly and industry research, determines the prevailing UX paradigms, and assesses them within the framework of application design and programming. It suggests a systematic approach that involves the use of qualitative analysis, comparative analysis and operational metrics based evaluation to analyze the UX trends in various areas of application such as medical services, financial services, education, and entertainment. The results also spot the trend towards adaptive interfaces, utilizing AI to create a personalized experience, using both multimodal and minimalist interactions and privacy as one of the primary UX determinants. Moreover, the trade-offs between innovation and usability are highlighted, and the main problems that developers have to deal with balancing between performance, security, and user satisfaction. This paper ends with details of the future research and recommendations that can be adopted by designers, developers, and researchers who would like to create user-friendly next-generation mobile applications.
References
[1] ISO 9241-210. (2019). Ergonomics of human-system interaction – Part 210: Human-centred design for interactive systems. International Organization for Standardization.
[2] Nielsen, J. (1994). Usability engineering. Morgan Kaufmann.
[3] Hassenzahl, M., & Tractinsky, N. (2006). User experience – A research agenda. Behaviour & Information Technology, 25(2), 91–97.
[4] Norman, D. A. (2013). The design of everyday things (Revised ed.). Basic Books.
[5] Zhang, D., & Adipat, B. (2005). Challenges, methodologies, and issues in the usability testing of mobile applications. International Journal of Human–Computer Interaction, 18(3), 293–308.
[6] Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S., Elmqvist, N., & Diakopoulos, N. (2016). Designing the user interface: Strategies for effective human–computer interaction. Pearson.
[7] Kaptein, M., Markopoulos, P., de Ruyter, B., & Aarts, E. (2015). Personalizing persuasive technologies: Explicit and implicit personalization using persuasion profiles. International Journal of Human–Computer Studies, 77, 38–51.
[8] Amershi, S., et al. (2019). Guidelines for human-AI interaction. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–13.
[9] Billinghurst, M., Clark, A., & Lee, G. (2015). A survey of augmented reality. Foundations and Trends in Human–Computer Interaction, 8(2–3), 73–272.
[10] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
[11] Brooke, J. (1996). SUS: A “quick and dirty” usability scale. In Usability evaluation in industry (pp. 189–194). Taylor & Francis.
[12] Laugwitz, B., Held, T., & Schrepp, M. (2008). Construction and evaluation of a user experience questionnaire. Symposium of the Austrian HCI and Usability Engineering Group, 63–76.
[13] Lazar, J., Goldstein, D. F., & Taylor, A. (2015). Ensuring digital accessibility through process and policy. Morgan Kaufmann.
[14] W3C. (2018). Web Content Accessibility Guidelines (WCAG) 2.1. World Wide Web Consortium.
[15] Bødker, S. (2006). When second wave HCI meets third wave challenges. Proceedings of the 4th Nordic Conference on Human–Computer Interaction, 1–8.
Downloads
How to Cite
[1]H. Tanaka and Y. Nakamura, “Assessing User Experience Trends in Next-Gen Mobile Applications”, ijmiet, vol. 5, no. 1, pp. 01–15, May 2022, doi: 10.67228/30715628/IJMIET-2022PI6C4H.
Most read articles by the same author(s)
- Dr. Hiroshi Tanaka, Dr. Yuki Nakamura, Trends in Cyber-Physical Security for Smart Factories , International Journal of Modern Innovations and Emerging Trends: Vol. 4 No. 1 (2021)
Similar Articles
- Dr. Rohit Malhotra, ML-Enhanced Code Refactoring Recommendations for Improving Software Maintainability , International Journal of Modern Innovations and Emerging Trends: Vol. 2 No. 2 (2019)
- Peter Wilson, Olivia Martin, Digital Supply Chain Visibility Using Blockchain and Iot , International Journal of Modern Innovations and Emerging Trends: Vol. 1 No. 1 (2018)
- Joseph Robin, Tamilarasan, AI-Assisted Drug Discovery: Emerging Technologies and Challenges , International Journal of Modern Innovations and Emerging Trends: Vol. 8 No. 1 (2025)
- Dr. Grace Ndlovu, Samuel Johnson, Trends in Sustainable Energy Storage for Urban Infrastructures , International Journal of Modern Innovations and Emerging Trends: Vol. 5 No. 2 (2022)
- Thomas Fischer, Anna Schmidt, AI-Integrated Smart Farming Solutions for Crop Enhancement , International Journal of Modern Innovations and Emerging Trends: Vol. 6 No. 2 (2023)
- Vijaya Ragavan, Neela Rohit, Salim Nazar Mohammed, Neural Network Models for High-Precision Predictive Maintenance , International Journal of Modern Innovations and Emerging Trends: Vol. 9 No. 1 (2026)
- Liam Walker, Grace Young, Combining IoT and Big Data for Precision Manufacturing , International Journal of Modern Innovations and Emerging Trends: Vol. 4 No. 2 (2021)
- Thomas Fischer, Anna Schmidt, AI-Driven Climate Analysis for Sustainable Urban Planning , International Journal of Modern Innovations and Emerging Trends: Vol. 5 No. 2 (2022)
- Dr. John Peterson, Dr. Linda Martinez, Managing Client Expectations through Effective Resource Allocation in Service Delivery , International Journal of Modern Innovations and Emerging Trends: Vol. 2 No. 2 (2019)
- Amanda Davis, Kevin Taylor, Innovations in Anti-Counterfeit Systems Using QR–Blockchain , International Journal of Modern Innovations and Emerging Trends: Vol. 2 No. 2 (2019)
You may also start an advanced similarity search for this article.