徐凯
August 16, 2016 Leave a comment
The paper is accepted by the VAST 2016 conference!
The paper introduced a new tool called SenseMap that help users with online sensemaking for daily tasks such as find a camera, book a holiday, etc.
The tool is available as a Chrome plugin (very early stage = lots of bugs 🙂 and there is more information here: sensemap.io. Any comment/feedback is welcome!
January 16, 2016 Leave a comment
This paper describes a new method designed for temporal visualization with ‘set’ information. Here the ‘set’ can be different ‘theme’ or ‘topic’, such as person, location, organisation, etc.
It was selected as the journal cover! More information here
August 16, 2015 Leave a comment
The paper is accepted at VAST 2015, and later appeared in the journal TVCG. It introduces a new tool that can save a lot time doing the transcription and coding when analysing the data collected from qualitative studies such as thematic analysis.
More details here
March 16, 2015 Leave a comment
This is the outcomes from the analytic provenance workshop organised at VIS 2014. It provides an overview of the research related to analytic provenance and the challenges/open problems it faces (a lot). PDF (IEEE digital library Xplore)
September 1, 2014 1 Comment
I am co-chairing a workshop on Provenance and Sensemaking at the IEEE VIS conference week in Paris. The submission deadline has now passed, but you can still join the discussions at the workshop during the conference. Hope to see you there!
August 12, 2014 Leave a comment
This year, the Visual Analytics challenge organised by the IEEE VAST (Visual Analytics Science & Technology) conference again had a mini-challenge on Twitter data, and it is (near) real-time this time. The task is to monitor the Twitter feed and provide (near) real-time updates on important events that are happening and find information related to a suspected kidnapping.
Our entry won a ‘Honorable Mention for Effective Support for Analytic Sensemaking’, a step away from getting an award. You can see the system working in the demo video below (best in full screen with sound on).
