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Paper Abstract and Keywords
Presentation 2022-08-27 14:45
Factor Analysis of the Overtrust Scale for Recommender Systems
Reika Miwa, Aika Tsuchida, Yoshinori Hijikata (KGU), Masahiro Hamasaki, Masataka Goto (AIST) HCS2022-46
Abstract (in Japanese) (See Japanese page) 
(in English) Recommender systems have been used in many online services. People may have come to accept the recommended items without any consideration. We call such an attitude of users toward recommender systems "recommendation overtrust". We have developed a psychological scale to measure whether users fall into recommendation overtrust or not. In our previous paper, a questionnaire survey has been conducted to verify its validity on a crowd sourcing service. In this paper, we conducted a factor analysis of the responses obtained from the survey for clarifying the main concepts that constitute recommendation overtrust. In addition, in order to verify the validity of the found subscales, we examined the relationship between other psychological measures related to trust and the tendency to use the target service. The results showed that the proposed scale and its subscales were correlated with two perception indices of TAM (Technology Acceptance Model) and the usage frequency of the service.
Keyword (in Japanese) (See Japanese page) 
(in English) Recommender systems / Trust / Overtrust / Psychological trait / Factor analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 166, HCS2022-46, pp. 55-60, Aug. 2022.
Paper # HCS2022-46 
Date of Issue 2022-08-19 (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  
Conference Date 2022-08-26 - 2022-08-27 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HCS 
Conference Code 2022-08-HCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Factor Analysis of the Overtrust Scale for Recommender Systems 
Sub Title (in English)  
Keyword(1) Recommender systems  
Keyword(2) Trust  
Keyword(3) Overtrust  
Keyword(4) Psychological trait  
Keyword(5) Factor analysis  
1st Author's Name Reika Miwa  
1st Author's Affiliation Kwansei Gakuin University (KGU)
2nd Author's Name Aika Tsuchida  
2nd Author's Affiliation Kwansei Gakuin University (KGU)
3rd Author's Name Yoshinori Hijikata  
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 2022-08-27 14:45:00 
Presentation Time 30 minutes 
Registration for HCS 
Paper # HCS2022-46 
Volume (vol) vol.122 
Number (no) no.166 
Page pp.55-60 
Date of Issue 2022-08-19 (HCS) 

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