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| Paper Abstract and Keywords | ||
| Presentation | 2023-11-05 11:15 Proposal and Evaluation of Recommendation Acceptance Tendency Scale for Overtrust Awareness Yoshinori Hijikata, Reika Miwa, Aika Tsuchida (KGU), Masahiro Hamasaki, Masataka Goto (AIST)  CNR2023-10 HCS2023-72 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | As services providing recommendations or judgments of AI (artificial intelligence) become popular, the problem of "recommendation overtrust" is emerging in which users consume articles or content without examining them. We have developed the recommendation acceptance tendency scale (RATS), which measures the tendency to accept recommendation results. This is a psychological scale that can be used as a reference to determine whether a person is suffering from recommendation overtrust. In this paper, we examine the reliability of the responses and the validity of the constructs of this scale in a social survey, and clarify the characteristics of users who tend to have a high tendency to accept recommendations from the perspective of personality. The results of the analysis confirmed a high value for Cronbach's alpha and a correlation with two perception indices of the Technology Acceptance Model (TAM), which represents the acceptability of the service. This verified the reliability of the scale and the validity of the constructs. In addition, a correlation was found between the openness (one of the personality factor) and the RATS. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Recommender systems / Trust / Overtrust / Recommendation acceptance / Psychological trait / Personality / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 242, HCS2023-72, pp. 15-20, Nov. 2023. | |
| Paper # | HCS2023-72 | |
| Date of Issue | 2023-10-29 (CNR, HCS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | CNR2023-10 HCS2023-72 |
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| Conference Information | |
| Committee | HCS CNR |
| Conference Date | 2023-11-05 - 2023-11-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kogakuin University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Communication and Interaction of Human, Robot, and Agent, etc. |
| Paper Information | |
| Registration To | HCS |
| Conference Code | 2023-11-HCS-CNR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal and Evaluation of Recommendation Acceptance Tendency Scale for Overtrust Awareness |
| Sub Title (in English) | |
| Keyword(1) | Recommender systems |
| Keyword(2) | Trust |
| Keyword(3) | Overtrust |
| Keyword(4) | Recommendation acceptance |
| Keyword(5) | Psychological trait |
| Keyword(6) | Personality |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yoshinori Hijikata |
| 1st Author's Affiliation | Kwansei Gakuin University (KGU) |
| 2nd Author's Name | Reika Miwa |
| 2nd Author's Affiliation | Kwansei Gakuin University (KGU) |
| 3rd Author's Name | Aika Tsuchida |
| 3rd Author's Affiliation | Kwansei Gakuin University (KGU) |
| 4th Author's Name | Masahiro Hamasaki |
| 4th Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) |
| 5th Author's Name | Masataka Goto |
| 5th Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) |
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| Speaker | Author-1 |
| Date Time | 2023-11-05 11:15:00 |
| Presentation Time | 25 minutes |
| Registration for | HCS |
| Paper # | CNR2023-10, HCS2023-72 |
| Volume (vol) | vol.123 |
| Number (no) | no.241(CNR), no.242(HCS) |
| Page | pp.15-20 |
| #Pages | 6 |
| Date of Issue | 2023-10-29 (CNR, HCS) |
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