Bridging theory and practice
Turning emotion and affect theory into methods designers can actually apply.
21 papers carry this theme
In these papers
- 01AI Assistance for UX: A Literature Review Through Human-Centered AIYuwen Lu · 2024Mainstream adoption of AI-UX tools remains limited.
- 02Towards an AI-Driven User Interface Design for Web ApplicationsAndré Costaa, Firmino Silvaa et al. · 2024How to integrate AI into modern UI design.
- 03Creating Design Resources to Scafold the Ideation of AI ConceptsNur Yildirim · 2023Makes AI advances useful in the real world.
- 04Data in design: How big data and thick data inform design thinking projectsStefano Magistretti b, Claudio Dell'Era b · 2023Integrates data into design-thinking practice.
- 05Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI ChallengesQiaosi Wang∗ · 2023New practices to meet Responsible-AI challenges.
- 06A study of UX practitioners roles in designing real-world, enterprise ML systemsSabah Zdanowsk · 2022How UCD methods influence design of the system behind the interface.
- 07AUIT – the Adaptive User Interfaces Toolkit for Designing XR ApplicationsAnna Maria Feit · 2022Eases laborious manual implementation of XR adaptation.
- 08How Designers Find Their Ways in Shaping Algorithmic SystemsJeremie Poiroux · 2022How designers actually shape algorithmic personalization features.
- 09Personalization in Practice: Methods and ApplicationsDmitri Goldenberg · 2021Bridges ML advances and real-world personalization deployment.
- 10AI and UXGavin Lew Robert M., Schumacher Jr. · 2020Connects AI capabilities with UX design practice.
- 11UX designers pushing AI in the enterprise: a case for adaptive UIsJohn Zimmerman · 2020How UX designers can push AI into enterprise products.
- 12A Comparative Analysis of Industry of Human-AI Interaction GuidelinesHaekyu Park · 2019Turns industry guidelines into actionable HAI design practice.
- 13Identifying the Intersections: User Experience + Research Scientist Collaboration in a Generative Machine Learning InterfaceClaire Kayacik, Sherol Chen et al. · 2019UX involvement helps ML scientists identify the right problems.
- 14Artificial Intelligence (AI) for User Experience (UX) design: A systematic literature review and future reseaarch agendaAsne Stige · 2018AI disrupting the UX process to improve efficiency and creativity.
- 15Investigating How Experienced UX Designers Effectively Work with Machine LearningQian Yang · 2018Designers struggle to understand ML's capabilities.
- 16User Experience for Model-Driven Engineering:Future Directions · 2017MDE research has focused on technical issues over user experience.
- 17UX Design Innovation: Challenges for Working with Machine Learning as a Design MaterialGraham Dove, Kim Halskov · 2017Asks why UX has innovated little with ML so far.
- 18The Behaviour Change Wheel: a new method for characterising and designing behaviour change interventions2011Links a behavioural analysis to concrete intervention functions and policies.
- 19Research Through Design as a Method for InteractionJohn Zimmerman, Jodi Forlizzi et al. · 2007Proposes Research-through-Design to integrate design into HCI research.
- 20User experience - A research agendaMarc Hassenzahl, Noam Tractinsky · 2006Frames UX as a research agenda to guide design practice.
- 21Design and Emotion: Time for a New Direction?Terence Love · 2004Asks why design-and-emotion research has not improved design practice.