Generating User Experience Based on Personas with AI Assistants (2405.01051v1)
Abstract: Traditional UX development methodologies focus on developing ``one size fits all" solutions and lack the flexibility to cater to diverse user needs. In response, a growing interest has arisen in developing more dynamic UX frameworks. However, existing approaches often cannot personalise user experiences and adapt to user feedback in real-time. Therefore, my research introduces a novel approach of combining LLMs and personas, to address these limitations. The research is structured around three areas: (1) a critical review of existing adaptive UX practices and the potential for their automation; (2) an investigation into the role and effectiveness of personas in enhancing UX adaptability; and (3) the proposal of a theoretical framework that leverages LLM capabilities to create more dynamic and responsive UX designs and guidelines.
- Engineering adaptive model-driven user interfaces. IEEE Transactions on Software Engineering 42, 12 (2016), 1118–1147.
- Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs. arXiv preprint arXiv:2310.13976 (2023).
- Hubert Ekvall and Patrik Winnberg. 2023. Integrating ChatGPT into the UX Design Process: Ideation and Prototyping with LLMs.
- Large Language Models for Software Engineering: Survey and Open Problems. arXiv preprint arXiv:2310.03533 (2023).
- Humanise: Approaches to achieve more human-centric software engineering. In International Conference on Evaluation of Novel Approaches to Software Engineering. Springer, 444–468.
- Sarah Low Tze Hui and Swee Lan See. 2015. Enhancing user experience through customisation of UI design. Procedia Manufacturing 3 (2015), 1932–1937.
- Model-based adaptive user interface based on context and user experience evaluation. Journal on Multimodal User Interfaces 12 (2018), 1–16.
- Models for integrating UX into software engineering practice: an industrial validation. Software Engineering (2014).
- Integrating User eXperience practices into software development processes: implications of the UX characteristics. PeerJ Computer Science 3 (2017), e130.
- Coderl: Mastering code generation through pretrained models and deep reinforcement learning. Advances in Neural Information Processing Systems 35 (2022), 21314–21328.
- A 3-layer architecture for smart environment models. In 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops). IEEE, 636–641.
- An adaptive user interface based on personalized learning. IEEE Intelligent Systems 18, 2 (2003), 52–57.
- Jailbreaking chatgpt via prompt engineering: An empirical study. arXiv preprint arXiv:2305.13860 (2023).
- Angus Main and Mick Grierson. 2020. Guru, Partner, or Pencil Sharpener? Understanding Designers’ Attitudes Towards Intelligent Creativity Support Tools. arXiv preprint arXiv:2007.04848 (2020).
- A Comprehensive Overview of Large Language Models. arXiv:2307.06435 [cs.CL]
- Generative Artificial Intelligence for Software Engineering–A Research Agenda. arXiv preprint arXiv:2310.18648 (2023).
- Ai-assisted ui design for blind and low-vision creators. In the ASSETS’19 Workshop: AI Fairness for People with Disabilities.
- Use cases for design personas: A systematic review and new frontiers. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 1–21.
- Artificial intelligence (AI) for user experience (UX) design: a systematic literature review and future research agenda. Information Technology & People (2023).
- User interface design and evaluation. Elsevier.
- Adapting user interfaces with model-based reinforcement learning. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–13.
- DroidBot-GPT: GPT-powered UI Automation for Android. arXiv preprint arXiv:2304.07061 (2023).
- Measuring and improving user experience through artificial intelligence-aided design. Frontiers in Psychology 11 (2020), 595374.
- Mapping machine learning advances from hci research to reveal starting places for design innovation. In Proceedings of the 2018 CHI conference on human factors in computing systems. 1–11.
- PersonaGen: A Tool for Generating Personas from User Feedback. In 2023 IEEE 31st International Requirements Engineering Conference (RE). IEEE, 353–354.
- A Personalized Multi-Turn Generation-Based Chatbot with Various-Persona-Distribution Data. Applied Sciences 13, 5 (2023), 3122.
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