# User-Centered Design (IX): A "User Experience 3.0" Paradigm Framework in the Intelligence Era

arXiv: https://arxiv.org/abs/2302.06681 · HTML: https://mlsanity.com/paper/2302.06681/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 6 of its 49 references that are in the map.
- First posted on arXiv 13 Feb 2023.

## Builds on (most cited first, 6 of 6)

- [Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy](https://mlsanity.com/paper/2002.04087/) (2020)
- [Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks](https://mlsanity.com/paper/1706.04148/) (2017)
- [Toward AI Assistants That Let Designers Design](https://mlsanity.com/paper/2107.13074/) (2021)
- [Modeling Human Visual Search Performance on Realistic Webpages Using Analytical and Deep Learning Methods](https://mlsanity.com/paper/2005.03784/) (2020)
- [Enabling human-centered AI: A new junction and shared journey between AI and HCI communities](https://mlsanity.com/paper/2111.08460/) (2021)
- [Maximizing the Value of Enterprise Human-Computer Interaction Standards: Strategies and Applications](https://mlsanity.com/paper/2105.05375/) (2021)

## Abstract (arXiv)

The field of user experience (UX) based on the design philosophy of "user-centered design" is moving towards the intelligence era. Still, the existing UX paradigm mainly aims at non-intelligent systems and lacks a systematic approach to UX for intelligent systems. Throughout the development of UX, the UX paradigm shows the evolution characteristics of the cross-technology era. At present, the intelligence era has put forward new demands on the UX paradigm. For this reason, this paper proposes a "UX 3.0" paradigm framework and the corresponding UX methodology system in the intelligence era. The "UX 3.0" paradigm framework includes five categories of UX methods: ecological experience, innovation-enabled experience, AI-enabled experience, human-AI interaction-based experience, and human-AI collaboration-based experience methods, each providing corresponding multiple UX paradigmatic orientations. The proposal of the "UX 3.0" paradigm helps improve the existing UX methods and provides methodological support for the research and applications of UX in developing intelligent systems. Finally, this paper looks forward to future research and applications of the "UX 3.0" paradigm.