Ruddle, RA, Bernard, J, May, T et al. (2 more authors) (2016) Methods and a research agenda for the evaluation of event sequence visualization techniques. In: Proceedings of the IEEE VIS 2016 Workshop on Temporal & Sequential Event Analysis. The Event Event: Temporal & Sequential Event Analysis - An IEEE VIS 2016 Workshop, 24 Oct 2016, Baltimore, Maryland, USA.
Abstract
The present paper asks how can visualization help data scientists make sense of event sequences, and makes three main contributions. The first is a research agenda, which we divide into methods for presentation, interaction & computation, and scale-up. Second, we introduce the concept of Event Maps to help with scale-up, and illustrate coarse-, medium- and fine-grained Event Maps with electronic health record (EHR) data for prostate cancer. Third, in an experiment we investigated participants’ ability to judge the similarity of event sequences. Contrary to previous research into categorical data, color and shape were better than position for encoding event type. However, even with simple sequences (5 events of 3 types in the target sequence), participants only got 88% correct despite averaging 7.4 seconds to respond. This indicates that simple visualization techniques are not effective.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a conference paper accepted by The Event Event: Temporal & Sequential Event Analysis - An IEEE VIS 2016 Workshop, available online at http://eventevent.github.io/papers/EVENT_2016_paper_9.pdf. |
Keywords: | Visualization; Electronic Health Records; Event Sequences; Research agenda; Evaluation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Oct 2016 10:28 |
Last Modified: | 22 Jan 2018 09:22 |
Published Version: | http://eventevent.github.io/papers/EVENT_2016_pape... |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106008 |