Abstract
Understanding relationships and commonalities between digital contents based on metadata is a difficult user task that requires sophisticated presentation forms. In this paper, we describe an advanced graph visualization that supports users with these activities. It reduces several problems of common graph visualizations and provides a specific chain arrangement of nodes that facilitates visual tracking of relationships. We present a concrete implementation for the exploration of relationships between images based on shared tags. An evaluation with a comparative user study shows good performance results on several dimensions. We therefore conclude that the ChainGraph approach can be considered a serious alternative to common graph visualizations in situations where relationships and commonalities between contents are of interest. After a discussion of the limitations, we finally point to some application scenarios and future enhancements.
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References
Fruchterman, T., Reingold, E.: Graph drawing by force-directed placement. Softw. Pract. Exper. 21(11), 1129–1164 (1991)
Girgensohn, A., Shipman, F., Wilcox, L., Turner, T., Cooper, M.: Mediaglow: Organizing photos in a graph-based workspace. In: IUI 2009: Proc. international conference on Intelligent user interfaces, pp. 419–424. ACM, New York (2009)
Hassan-Montero, Y., Herrero-Solana, V.: Improving Tag-Clouds as Visual Information Retrieval Interfaces. In: Proc. Multidisciplinary Information Sciences and Technologies, InSciT 2006, Merida, Spain (October 2006)
Heckner, M., Neubauer, T., Wolff, C.: Tree, funny, to_read, google: what are tags supposed to achieve? a comparative analysis of user keywords for different digital resource types. In: SSM 2008: Proc. ACM workshop on Search in social media, pp. 3–10. ACM, New York (2008)
Heim, P., Lohmann, S.: A new approach to visualize shared properties in resource collections. In: Proc. International Conference on Knowledge Management and Knowledge Technologies, pp. 106–114 (2009)
Kristensson, P.O., Arnell, O., Björk, A., Dahlbäck, N., Pennerup, J., Prytz, E., Wikman, J., Åström, N.: Infotouch: an explorative multi-touch visualization interface for tagged photo collections. In: NordiCHI. ACM International Conference Proceeding Series, vol. 358, pp. 491–494. ACM, New York (2008)
Lohmann, S., Ziegler, J., Tetzlaff, L.: Comparison of tag cloud layouts: Task-related performance and visual exploration. In: Gross, T., et al. (eds.) INTERACT 2009, Part I. LNCS, vol. 5726, pp. 392–404. Springer, Heidelberg (2009)
Marchionini, G.: Exploratory search: from finding to understanding. Commun. ACM 49(4), 41–46 (2006)
Michlmayr, E., Cayzer, S.: Learning user profiles from tagging data and leveraging them for personal(ized) information access. In: Proc. Workshop on Tagging and Metadata for Social Information Organization, 16th International World Wide Web Conference (2007)
Purchase, H.C.: Which aesthetic has the greatest effect on human understanding? In: DiBattista, G. (ed.) GD 1997. LNCS, vol. 1353, pp. 248–261. Springer, Heidelberg (1997)
Rodden, K., Basalaj, W., Sinclair, D., Wood, K.: Does organisation by similarity assist image browsing? In: CHI 2001: Proc. Human factors in computing systems, pp. 190–197. ACM, New York (2001)
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Lohmann, S., Heim, P., Tetzlaff, L., Ertl, T., Ziegler, J. (2009). Exploring Relationships between Annotated Images with the ChainGraph Visualization. In: Chua, TS., Kompatsiaris, Y., Mérialdo, B., Haas, W., Thallinger, G., Bailer, W. (eds) Semantic Multimedia. SAMT 2009. Lecture Notes in Computer Science, vol 5887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10543-2_4
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DOI: https://doi.org/10.1007/978-3-642-10543-2_4
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