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Koji Kamei

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Publications by Koji Kamei (bibliography)

» 2008 «

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Maekawa, Takuya, Yanagisawa, Yutaka, Sakurai, Yasushi, Kishino, Yasue, Kamei, Koji and Okadome, Takeshi (2008): Web page retrieval in ubiquitous sensor environments. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2008. pp. 759-760. Available online

“This paper proposes new concept of query free web search for daily living. We ordinarily benefit from additional information about our daily activities that we are currently engaged in. When washing a coffee maker, for example, we receive the benefit if we obtain such information as 'cleaning a coffee maker with vinegar removes its stain well.' Our proposed method automatically searches for a web page including such information relates to an activity of daily living when the activity is performed. We assume that wireless sensor nodes are attached to daily objects to detect object use; our method makes a query from the names of objects which are used. Then, the method retrieves a web page relates to the activity of daily living by using the query.”

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Maekawa, Takuya, Yanagisawa, Yutaka, Kishino, Yasue, Kamei, Koji, Sakurai, Yasushi and Okadome, Takeshi (2008): Object-Blog System for Environment-Generated Content. In IEEE Pervasive Computing, 7 (4) pp. 20-27

» 2002 «

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Kamei, Koji, Fujita, Kunihiko, Jettmar, Eva, Yoshida, Sen and Kuwabara, Kazuhiro (2002): Effectiveness of spatial representation in the formation of network communities: experimental study on community organizer. In Interacting with Computers, 14 (6) pp. 739-759

“In this paper, we present and discuss Community Organizer, a system designed to support network communities. The main characteristic of Community Organizer is the use of spatial representations for the relationships among community members including the communications exchanged among these members. These spatial representations reflect the degree of closeness of interests and concerns among the members, and are intended to provide users with clues on how to form network communities. In order to investigate the effectiveness of the proposed spatial representations, we conducted experiments with two different versions of the software. One version offered meaningful spatial representations while the other version did not. The subjects who used the former software version felt a greater sense of 'community', enjoyed using the software more, and actively used it longer than the subjects using the latter software version (control condition). These results indicated that the proposed spatial representations are effective in supporting network community formation.”

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