This manuscript identifies and documents unsolved problems and research challenges in
the extended reality (XR) domain (ie, virtual (VR), augmented (AR), and mixed reality (MR)) …

Science mapping is a generic process of domain analysis and visualization. The scope of a
science mapping study can be a scientific discipline, a field of research, or topic areas …

Immersive Analytics is a quickly evolving field that unites several areas such as
visualisation, immersive environments, and human-computer interaction to support human …

While advanced text generation algorithms (eg, GPT-3) have enabled writers to co-create
stories with an AI, guiding the narrative remains a challenge. Existing systems often …

There exists a gap between visualization design guidelines and their application in
visualization tools. While empirical studies can provide design guidance, we lack a formal …

In recent years, there has been a significant expansion in the development and use of multi-
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …

Effectively designed data visualizations allow viewers to use their powerful visual systems to
understand patterns in data across science, education, health, and public policy. But …

Deep convolutional neural networks (CNNs) have achieved breakthrough performance in
many pattern recognition tasks such as image classification. However, the development of …

Although open government data (OGD) are becoming widely available, they have not yet
reached their full potential due to their limited use. Supplementing OGD with visualizations …

Designing a data physicalization requires a myriad of different considerations. Despite the
cross-disciplinary nature of these considerations, research currently lacks a synthesis across …