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Exploring Subjective Survey Classification of a Photographic Archive using Visual Analytics

Kachkaev, A. & Wood, J. (2013). Exploring Subjective Survey Classification of a Photographic Archive using Visual Analytics. Poster presented at the IEEE Conference on Information Visualization (IEEE VIS 2013), 13 - 18 Oct 2013, Atlanta, Georgia, US.


We use an interactive visual analytics approach to explore the results of a survey and utilise parallel coordinate plots and small multiples as key visualization techniques. The scope of the survey is a set of 900 photographs from 3 origins, which were to be subjectively classified by the participants in a number of ways. In this poster we describe the interface of the designed tool and also highlight the findings it allowed us to make. By visualizing the collected survey data and navigating through it we could estimate the proportions of different types of photographs, identify qualitative differences between their sources and correlate the responses with image metadata. We were also able to support the survey process itself: with various visual representations of the collected results we could detect inappropriate behaviour of a number of participants, handle issues related to unavailability of some photographs and also ensure responses sampled the image database appropriately.

Publication Type: Conference or Workshop Item (Poster)
Additional Information: survey results, data exploration, glyph-based techniques, visual knowledge discovery and representation, crowd-sourced assessment, photographic data
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments: School of Science & Technology > Computer Science > giCentre
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