書誌事項
- タイトル別名
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- PATTERN ANALYSIS OF CUSTUMER BEHAVIOR USING UBIQUITOUS INTERFACE
抄録
Consumers may take some specific behavior preference or favorite items to get more information, such as the material and the price, in shopping. We have been developing a smart room to estimate their preference and favorite items through observation using ubiquitous sensors, such as RFIDs and webcams. We assumed the decision decision-making process in shopping as AIDMA rule, and detected specific behavior, which are “See”, “Touch” and “Take”, to estimate user's interest. We found that we can classify consumers by their behavior patterns of the times and duration of the behaviors. In our experiment we have tested twenty-eight subjects on twenty-four T-shirts. In the experiment, we got better precision ratio for each subjects on estimating preference and favorite items by discriminate analysis on his or her behavior log, and behavior patterns classification above.
収録刊行物
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- 日本感性工学会論文誌
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日本感性工学会論文誌 8 (3), 741-747, 2009
日本感性工学会
- Tweet
キーワード
詳細情報
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- CRID
- 1390282680277127936
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- NII論文ID
- 130005121115
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- ISSN
- 18845258
- 18828930
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可