Immersive visualization utilizes virtual reality, mixed reality devices, and other interactive
devices to create a novel visual environment that integrates multimodal perception and …

Data scientists require rich mental models of how AI systems behave to effectively train,
debug, and work with them. Despite the prevalence of AI analysis tools, there is no general …

To design with AI models, user experience (UX) designers must assess the fit between the
model and user needs. Based on user research, they need to contextualize the model's …

This study presents insights from interviews with nineteen Knowledge Graph (KG)
practitioners who work in both enterprise and academic settings on a wide variety of use …

Relation extraction is a vital task in constructing large-scale knowledge graphs, aiming to
identify factual relations between entities from plain texts and generate triples. However, it is …

Abstract Knowledge graph is a technology that describes entities, concepts and their
relationships, which has been widely used in the fields of intelligent search, automatic …

Embedding is a common technique for analyzing multi-dimensional data. However, the
embedding projection cannot always form significant and interpretable visual structures that …

Line-chart visualizations of temporal data enable users to identify interesting patterns for the
user to inquire about. Using Intelligent Agents (IA), Visual Analytic tools can automatically …

As AI technology continues to advance, the importance of human-AI collaboration becomes
increasingly evident, with numerous studies exploring its potential in various fields. One vital …

Currently, the search history in search engines is presented in a list view of some
combination of enumerated results by title, URL, or search query. However, this classical list …