Artificial intelligence (AI) for user experience (UX) design: a systematic literature review and future research agenda
Purpose The aim of this article is to map the use of AI in the user experience (UX) design
process. Disrupting the UX process by introducing novel digital tools such as artificial …
process. Disrupting the UX process by introducing novel digital tools such as artificial …
Software engineering for AI-based systems: a survey
AI-based systems are software systems with functionalities enabled by at least one AI
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …
Collaboration challenges in building ml-enabled systems: Communication, documentation, engineering, and process
The introduction of machine learning (ML) components in software projects has created the
need for software engineers to collaborate with data scientists and other specialists. While …
need for software engineers to collaborate with data scientists and other specialists. While …
User experience design using machine learning: a systematic review
User experience (UX) is the key to increased productivity by enhancing the usability and
interactivity of the product. Machine learning (ML) solutions have raised user and academic …
interactivity of the product. Machine learning (ML) solutions have raised user and academic …
Moderator engagement and community development in the age of algorithms
Online communities provide a forum for rich social interaction and identity development for
billions of Internet users worldwide. In order to manage these communities, platform owners …
billions of Internet users worldwide. In order to manage these communities, platform owners …
A survey on interactive reinforcement learning: Design principles and open challenges
C Arzate Cruz, T Igarashi - Proceedings of the 2020 ACM designing …, 2020 - dl.acm.org
Interactive reinforcement learning (RL) has been successfully used in various applications in
different fields, which has also motivated HCI researchers to contribute in this area. In this …
different fields, which has also motivated HCI researchers to contribute in this area. In this …
[HTML][HTML] Machine Learning (ML) diffusion in the design process: A study of Norwegian design consultancies
Traditionally, the design process has been performed by designers and developers with the
aid of digital technologies. The proliferation of Machine Learning (ML) during the last years …
aid of digital technologies. The proliferation of Machine Learning (ML) during the last years …
Image cropping on twitter: Fairness metrics, their limitations, and the importance of representation, design, and agency
Twitter uses machine learning to crop images, where crops are centered around the part
predicted to be the most salient. In fall 2020, Twitter users raised concerns that the …
predicted to be the most salient. In fall 2020, Twitter users raised concerns that the …
Solving separation-of-concerns problems in collaborative design of human-AI systems through leaky abstractions
In conventional software development, user experience (UX) designers and engineers
collaborate through separation of concerns (SoC): designers create human interface …
collaborate through separation of concerns (SoC): designers create human interface …
Towards a process model for co-creating AI experiences
Thinking of technology as a design material is appealing. It encourages designers to explore
the material's properties to understand its capabilities and limitations—a prerequisite to …
the material's properties to understand its capabilities and limitations—a prerequisite to …