Emergent media environment for idea creation support

Sugiyama, K.; Misue, Kazuo; Watanabe, Isamu; Nitta, K.; Takada, Yuji

doi:10.1016/s0950-7051(97)00013-0

Cited by 9 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…have been proposed. For examples, Colab (Stefik, Foster, Bobrow, Kahn, Lanning, 1987), D-ABDUCTOR (Sugiyama, Misue, Watanabe, Nitta, Takeda, 1997), KJ editor (Ohiwa., Kawai, Koyama, 1990), and GUNGEN (Munemori and Nagasawa, 1996) were developed for structuralizing opinions based on the KJ method. In addition to these systems, some support systems (Romano, Bauer, Chen., and Nunamaker, 2000and Chen, Titkova, Orwig, Nunamaker, 1998and Frasconi, Gori, Soda, 1999 for recognizing qualitative opinions with other methods have been developed.…”

Section: Classifications By Contents For Bbs Datamentioning

confidence: 99%

“…Besides, there are complex relationships between opinions such as an approval or an objection to an opinion and a reply to a question. By the way, existing support methods for the information extraction (Stefik, Foster, Bobrow, Kahn, Lanning, 1987 andSugiyama, Misue, Watanabe, Nitta, Takeda, 1997) decide similarities among opinions and classify by contents using the cluster analysis or the multidimensional scaling. The information provided by the existing methods is only the results of classifications by contents and not based on the concept of conversations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Information Extraction Support System from BBS Using Topic Mapping Based on Structure of Conversation with a 3-dimensional Space

Hieramatsu

Nakae

Shibata

et al. 2003

Towards the Knowledge Society

View full text Add to dashboard Cite

Abstract:This paper proposes a support system for the information extraction from BBS (Bulletin Board System). On BBS in EC (Electronic Commerce) sites, participants who are consumers write frank opinions easily. This produces active conversation as enormous text data and includes unexpected opinions and consumers' requirements. In this system, opinions on BBS are classified by topics and arranged on a 3-dimensional space so that users (for example product designers) can easily understand how topics are interwoven into conversations or how topics are related to each other. Furthermore, two methods using the feature of the conversation structure on BBS are proposed for correcting the recognition of opinions.

show abstract

Section: Classifications By Contents For Bbs Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Information Extraction Support System from BBS Using Topic Mapping Based on Structure of Conversation with a 3-dimensional Space

Hieramatsu

Nakae

Shibata

et al. 2003

Towards the Knowledge Society

View full text Add to dashboard Cite

show abstract

“…In ordinary systems, (e.g., Refs. 7,13,17), in order to structure human thoughts based on the KJ method [3], users must manually determine all of the structures of the space alone. Therefore, it is very difficult to obtain the mathematical data of the bases of the space and, hence, it is almost impossible to reuse the structure (i.e., the viewpoints).…”

Section: Individual Thinking Support Blockmentioning

confidence: 99%

Group thinking support with multiple agents

Nishimoto¹,

Sumi²,

Kadobayashi³

et al. 1998

Syst. Comp. Jpn.

View full text Add to dashboard Cite

Creative group activities, for example, the development of new products, have recently increased in importance. Hence, demands are growing for groupware that is able to help stimulate human creativity. In this article, aiming to achieve such a system of groupware, we first propose a group thinking model, based on the transitions of the mentality of a thinking entity, and divide group thinking into several basic tasks based on the model. We then describe a creative group thinking support system called “AIDE,” which we have been researching and developing. From our experience in developing and testing the uses of AIDE, we have ascertained that multiagent architecture is very suitable for achieving a group thinking support system. © 1998 Scripta Technica, Syst Comp Jpn, 29(14): 21–31, 1998

show abstract