Exploring Subjective Survey Classification of a Photographic Archive using Visual Analytics
Alexander Kachkaev, Jo Wood · City Research Online (City University London) · 2013
Figure 1: The interface of the survey results analysis tool allowing navigation through all 8,434 collected responses (49,285 answers) with use of glyphs, small multiples, linked views and real-time interaction. Photograph c ○ CC-BY-SA 2.0 Nigel Chadwick. 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.