The field of user experience (UX) based on the design philosophy of "user-centered design" is evolving towards the intelligence era. However, the existing UX paradigm primarily focuses on non-intelligent systems and lacks a systematic approach to UX for intelligent systems. The evolution of UX has shown characteristics of the cross-technology era, and the intelligence era has presented new demands on the UX paradigm. To address these demands, this paper proposes a "UX 3.0" paradigm framework and corresponding 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 category provides multiple corresponding UX paradigmatic orientations that can be used to improve existing UX methods and provide methodological support for research and applications of UX in developing intelligent systems. This proposal builds upon previous research in human-computer interaction (HCI) such as Abdul et al. 's (2018) trends and trajectories for explainable, accountable, and intelligible systems; Abbas et al. 's (2022) systematic review on user experience design using machine learning; Amershi et al. 's (2019) guidelines for human-AI interaction; Budiu & Laubheimer's (2018) study on intelligent assistants' poor usability; Buolamwini & Gebru's (2018) work on gender shades in facial recognition technology; and others. The proposed "UX 3.0" paradigm framework aims to provide a more comprehensive approach to designing user experiences with intelligent systems by considering ecological factors, enabling innovation through technology advancements, leveraging AI capabilities while maintaining transparency and accountability through explainability techniques, facilitating seamless interactions between humans and AI agents or interfaces, promoting effective collaboration between humans and AI entities. Overall, this paper contributes to advancing HCI research by proposing a new paradigm framework for UX in the intelligence era and providing a methodology system to support its application. The authors look forward to future research and applications of the "UX 3.0" paradigm in improving user experiences with intelligent systems.
The way people make things for us to use on computers and phones is changing. They want to make things that are smarter and work better with other smart things. This paper talks about a new way to make these things called "UX 3.0". It has five different ways to make things that work well with smart technology, like robots or voice assistants. This new way of making things will help people work better with smart technology.
Definitions
- User experience (UX): how easy and enjoyable it is for people to use something
- Paradigm: a way of thinking or doing something
- Systematic approach: a careful and organized way of doing something
- Ecological factors: how the environment affects something
- AI (Artificial Intelligence): when machines can do tasks that normally need human intelligence, like learning or problem-solving
- Human-computer interaction (HCI): how people interact with computers and other digital devices
Exploring the Evolution of User Experience in the Intelligence Era
The field of user experience (UX) has been evolving over time, with its design philosophy based on “user-centered design”. However, existing UX paradigms primarily focus on non-intelligent systems and lack a systematic approach to UX for intelligent systems. This paper proposes a new “UX 3.0” paradigm framework and corresponding methodology system in order to address these demands.
The Cross-Technology Era: The Emergence of UX
In recent years, technology advancements have enabled the emergence of UX as an important factor in product development and customer satisfaction. As technology continues to evolve, so does the field of UX; it is now entering into what can be called a cross-technology era where different technologies are integrated together to create more efficient products that meet user needs better than ever before.
The Intelligence Era: New Demands for UX
As we enter into this intelligence era, there are new demands placed upon the existing UX paradigm which must be addressed in order to ensure that users have positive experiences when interacting with intelligent systems such as AI agents or interfaces. In particular, there is an increased need for ecological factors to be taken into account when designing user experiences with intelligent systems; innovation must also be enabled through technological advancements; AI capabilities must be leveraged while maintaining transparency and accountability through explainability techniques; seamless interactions between humans and AI agents/interfaces must be facilitated; and effective collaboration between humans and AI entities should also be promoted.
Introducing "UX 3.0" Paradigm Framework
To address these demands, this paper proposes a “UX 3.0” paradigm framework which includes five categories of methods: ecological experience methods, innovation-enabled experience methods, AI-enabled experience methods, human-AI interaction-based experience methods, and human-AI collaboration-based experience methods. Each category provides multiple corresponding paradigmatic orientations that can improve existing UX methodologies while providing methodological support for research and applications related to developing intelligent systems with improved user experiences.
Building Upon Previous Research
These studies provide valuable insight into how best to develop improved user experiences with intelligent systems by considering various aspects such as explainability techniques or gender bias issues within facial recognition technology – all elements which should contribute towards creating more comprehensive approaches towards designing better user experiences with intelligent systems overall .
"UX 3.0" Paradigm Framework: Advancing HCI Research
Overall , this paper contributes significantly towards advancing HCI research by proposing a new paradigm framework specifically designed for use within the intelligence era , along with providing a methodology system that supports its application . By taking into consideration various elements such as ecological factors , enabling innovation through technological advancements , leveraging AI capabilities while maintaining transparency via explainability techniques , facilitating seamless interactions between humans & AIs , promoting effective collaborations between both parties ; this proposed "UX 3 . 0" paradigm aims at improving current existing models used within HCI research today .
The authors look forward to future research being conducted surrounding this topic area - exploring ways in which their proposed "UX 3 . 0" paradigm could further enhance our understanding of how best we can design improved user experiences when working alongside artificial intelligence technologies today .
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.
