Semantic analytics

Emerging technologies

Data science

Analytics

The Internet

Engineering

Artificial intelligence

Virtual reality

Work (physics)

Immersive technology

Pure mathematics

Mathematics

Web modeling

Visual analytics

Human–computer interaction

Operating system

Visualization

Computer science

World Wide Web

Grand Challenges

Field (mathematics)

Key (lock)

Cultural analytics

Computer security

Mechanical engineering

Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and human-computer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics.

Grand Challenges in Immersive Analytics