Self-monitoring is a strategy that patients use to manage their chronic disease and chronic
disease risk factors. Technological advances such as mobile apps, web-based tracking …

Abstract Knowledge Management (KM) is a diffuse and controversial term, which has been
used by a large number of research disciplines. CSCW, over the last 20 years, has taken a …

Prototy** is notoriously difficult to do with machine learning (ML), but recent advances in
large language models may lower the barriers to people prototy** with ML, through the …

Machine learning (ML) depends on data to train and verify models. Very often, organizations
outsource processes related to data work (ie, generating and annotating data and …

Artificial intelligence (AI) presents new challenges for the user experience (UX) of products
and services. Recently, practitioner-facing resources and design guidelines have become …

Users of augmentative and alternative communication (AAC) devices sometimes find it
difficult to communicate in real time with others due to the time it takes to compose …

Research exploring how to support decision-making has often used machine learning to
automate or assist human decisions. We take an alternative approach for improving decision …

Diversity and mobility in education and work present a paramount challenge that needs
better conceptualization in educational theory. This challenge has been addressed by …

HCI research has explored AI as a design material, suggesting that designers can envision
AI's design opportunities to improve UX. Recent research claimed that enterprise …

Data is central to the development and evaluation of machine learning (ML) models.
However, the use of problematic or inappropriate datasets can result in harms when the …