Presentation | 2001/11/9 A Multi-agent Based Model of Human Recognition Process for Analysis of the Advertisement's Effectiveness Michiaki IWAZUME, Yuichiro KATO, Akihito KANAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a multi-agent model for analyzing recognition process of advertising information. We selected brand communication in enterprises as our research target and analyzed customer's recognition process of TV commercials from the viewpoints of audio-visual rhetoric and cognitive science. And we designed multi-agent model concerned with customer's recognition process. The multi-agent model makes clear the interaction between elements of customer's knowledge structure and the rhetorical characteristics of audio-visuals. It is found that the model is effective in the evaluation of advertisement. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Cognitive Appraisal Theories / Advertising Information Processing / Multi-agent |
Paper # | AI2001-53 |
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Committee | AI |
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Conference Date | 2001/11/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Multi-agent Based Model of Human Recognition Process for Analysis of the Advertisement's Effectiveness |
Sub Title (in English) | |
Keyword(1) | Cognitive Appraisal Theories |
Keyword(2) | Advertising Information Processing |
Keyword(3) | Multi-agent |
1st Author's Name | Michiaki IWAZUME |
1st Author's Affiliation | Brain Science Institute, RIKEN() |
2nd Author's Name | Yuichiro KATO |
2nd Author's Affiliation | Graduate School of Decision Science and Technology, Tokyo Institute of Technology |
3rd Author's Name | Akihito KANAI |
3rd Author's Affiliation | Japan Society for the Promotion of Science, Post-Doctoral Researcher |
Date | 2001/11/9 |
Paper # | AI2001-53 |
Volume (vol) | vol.101 |
Number (no) | 420 |
Page | pp.pp.- |
#Pages | 7 |
Date of Issue |