Chris North

schoolVirginia Techbar_chart#2609 Global Rank

Total Papers

HCI Rank

#2609

Research Areas

Years Active

Recent Publications

Enhancing Immersive Sensemaking with Gaze-Driven Recommendation Cues

Sensemaking is a complex task that places a heavy cognitive demand on individuals. With the recent surge in data availability, making sense of vast amounts of information has become a significant challenge for many professionals, such as intelligence analysts. Immersive technologies such as mixed reality offer a pot…

CHI '244th AuthorSocial & Collaborative VR +1

Evaluating Navigation and Comparison Performance of Computational Notebooks on Desktop and in Virtual Reality

The computational notebook serves as a versatile tool for data analysis. However, its conventional user interface falls short of keeping pace with the ever-growing data-related tasks, signaling the need for novel approaches. With the rapid development of interaction techniques and computing environments, there is a gr…

IUI '21CorrespondingComputational Methods in HCI

DeepSI: Interactive Deep Learning for Semantic Interaction

In this paper, we design novel interactive deep learning methods to improve semantic interactions in visual analytics applications. The ability of semantic interaction to infer analysts' precise intents during sensemaking is dependent on the quality of the underlying data representation. We propose the DeepSI-finetu…

CSCW '193rd AuthorCrowds and Collaboration

Dropping the Baton? Understanding Errors and Bottlenecks in a Crowdsourced Sensemaking Pipeline

Crowdsourced sensemaking has shown great potential for enabling scalable analysis of complex data sets, from planning trips, to designing products, to solving crimes. Yet, most crowd sensemaking approaches still require expert intervention because of worker errors and bottlenecks that would otherwise harm the output q…

CSCW '18CorrespondingCrowdsourcing

CrowdIA: Solving Mysteries with Crowdsourced Sensemaking

The increasing volume of text data is challenging the cognitive capabilities of expert analysts. Machine learning and crowdsourcing present new opportunities for large-scale sensemaking, but we must overcome the challenge of modeling the overall process so that many distributed agents can contribute to suitable compon…

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