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Information Fishing: Combining Immediate Information Retrieval and

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’˜ŽÒ/Authors

¬—Ñ ³•ü Masatomo Kobayashi “Œ‹ž‘åŠw‘åŠw‰@î•ñ—HŠwŒnŒ¤‹†‰ÈƒRƒ“ƒsƒ…[ƒ^‰ÈŠwêU Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo
ŒÜ\—’ Œ’•v Takeo Igarashi “Œ‹ž‘åŠw‘åŠw‰@î•ñ—HŠwŒnŒ¤‹†‰ÈƒRƒ“ƒsƒ…[ƒ^‰ÈŠwêU/‰ÈŠw‹ZpU‹»‹@\@‚³‚«‚ª‚¯ Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo/JST PRESTO

ŠT—v/Abstract

We introduce a fishing metaphor to provide a seamless transition between an instant process of information retrieval (IR) and an automatic process of collecting relevant information. Such a dynamic transition is required for facilitating exploratory IR activities for ambiguous goals, because an IR process that has an imprecise goal often involves two types of interaction: those for obtaining simple, definitive information and those for gathering various, suggestive information. Traditional query-result interfaces are efficient only in the former process, while existing information collecting systems intend only the latter process. Our system provides both definitive responces and suggestive recommendations through a virtual space within which each information unit moves autonomously as a fish and to which the user submits queries as food. Considering the result of our first user study, we improved our prototype system for reducing cognitive load in exploratory activities and discussed sharing the virtual space with other users.

ƒL[ƒ[ƒh/Keywords

î•ñŒŸõ, GUI, ƒCƒ“ƒ^ƒ‰ƒNƒVƒ‡ƒ“

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