2021 Fiscal Year Final Research Report
An Empirical Study on User Personality and Recommendation Acceptability in Recommender Systems
Project/Area Number |
19K12242
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 62020:Web informatics and service informatics-related
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Research Institution | Kwansei Gakuin University |
Principal Investigator |
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Project Period (FY) |
2019-04-01 – 2022-03-31
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Keywords | 推薦システム / アイテム受容 / ヒューマンインタフェース / 社会的ネットワーク / パーソナリティ |
Outline of Final Research Achievements |
In this study, we investigated whether presenting a recommender in the results output by a recommender system affects the user's item acceptance in move domain. We also compared four types of recommenders: "friend," "movie commentator," "movie robot," and "no recommender." In addition, we investigated whether the subject's personality influenced item acceptance. The results of the subject experiment showed that there was no difference in item acceptance between the recommendation lists with and without a recommender, but "friend" was found to influence item acceptance. In addition, the analysis of personality revealed that users with high openness tended not to accept recommendations from friends.
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Free Research Field |
社会情報学,社会心理学
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Academic Significance and Societal Importance of the Research Achievements |
推薦システムは様々な製品やサービスに組み込まれているが,ユーザの興味や嗜好に合ったアイテムを提示したとしても,それを選択したいと思わなければ,ユーザにとって価値はない.これまで口コミ分析の研究では友人の口コミが購買の意思決定に影響を与えることが分かっていたが,推薦システムの結果の提示においても,友人も高く評価していることを示すことが,ユーザのアイテムの受け入れに影響するかどうかを明らかにした点に学術的/社会的意義がある.
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