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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
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
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)
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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  
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 
Date of Issue 2023-10-29 (CNR, HCS) 

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