Large multi-touch displays are expanding the possibilities of multiple-coordinated views by
allowing multiple people to interact with data in concert or independently. We present Lark, a …

During asynchronous collaborative analysis, handoff of partial findings is challenging
because externalizations produced by analysts may not adequately communicate their …

可视分析是大数据分析的重要方法. 大数据可视分析旨在利用计算机自动化分析能力的同时,
充分挖掘人对于可视化信息的认知能力优势, 将人, 机的各自强项进行有机融合 …

Collaborative review and feedback is an important part of conventional filmmaking and now
Virtual Reality (VR) video production as well. However, conventional collaborative review …

Recently Nonprofit organizations (NPOs) are adopting more and more data-driven
approaches to their work, yet NPOs often lack appropriate tools and expertise in such data …

Many collaborative data analysis situations benefit from collaborators utilizing different
platforms. However, maintaining group awareness between team members using diverging …

As sensing technologies become increasingly distributed and democratized, citizens and
novice users are becoming responsible for the kinds of data collection and analysis that …

Detecting anomalies in time-varying multivariate data is crucial in various industries for the
predictive maintenance of equipment. Numerous machine learning (ML) algorithms have …

The use of learning analytics is entering in the field of research in education as a promising
way to support learning. However, in many cases data are not transparent for the learner. In …

Many of the problems being addressed by Immersive Analytics require groups of people to
solve. This chapter introduces the concept of Collaborative Immersive Analytics (CIA) and …