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Mountaz Hascoet-Zizi

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Publications by Mountaz Hascoet-Zizi (bibliography)

1996

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Hascoet-Zizi, Mountaz, Plaisant, Catherine, Ahlberg, Christopher, Chalmers, Matthew, Korfhage, Robert R. and Rao, Ramana (1996): Where is Information Visualization Technology Going?. In: Kurlander, David, Brown, Marc and Rao, Ramana (eds.) Proceedings of the 9th annual ACM symposium on User interface software and technology November 06 - 08, 1996, Seattle, Washington, United States. pp. 75-77.

“Over the past few years a lot of different information visualization techniques have been proposed. Being a relatively new and large field, the spectrum of emerging techniques has not clearly been identified. Another major consequence of the youthfulness of the field is that very few evaluation have been conducted so far. The aim of the panel will be to address these two points. First, panelist will characterize the spectrum of information visualization technology depending on tasks, users or data. Panelists will further discuss future trends in visualization technology by determining which are the most important features or challenges that information visualization systems should address. Second, the discussion will focus on how these systems are to be evaluated: through controlled experiments, system evaluation, long-time studies, verbal protocols, theoretical evaluations, or else?”

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Hascoet-Zizi, Mountaz and Pediotakis, Nikos (1996): Visual Relevance Analysis. In: DL96: Proceedings of the 1st ACM International Conference on Digital Libraries 1996. pp. 54-62.

“In order to access relevant information in digital libraries, most traditional systems feature topic search. In this paper we present visual relevance analysis to extend the notion of topic search by relying on visualization and interaction techniques to help users rapidly browse through potentially relevant documents. Visual relevance analysis offers a better repartition of control between the user and the system for topic search. The interaction paradigm uses a library metaphor, implemented through a classification system. In this paper we first present how a classification system is built to serve the visualization purposes. We further discuss presentation and interaction strategies for visual relevance analysis followed by implementation issues and system overview. Finally we briefly review related work and compare it with our approach.”

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