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Paper Abstract and Keywords
Presentation 2022-01-28 09:40
Proposal of an Overtrust Scale of Users in Recommender Systems
Aika Tsuchida, Reika Miwa, Yoshinori Hijikata (KGU), Masahiro Hamasaki, Masataka Goto (AIST) HCS2021-43
Abstract (in Japanese) (See Japanese page) 
(in English) Recommender systems have been used in many online services, and people have been exposed to such recommendations frequently that they may have come to accept them without any consideration. In this paper, we call such an attitude of users toward recommender systems "recommendation overtrust" and develop a psychological scale to measure whether users fall into recommendation overtrust or not. The developed scale is applied to users who use the recommendation function of YouTube, and the reliability of the scale is confirmed. The developed scale was found to be consistent with the responses to the questionnaire items, and correlated with the overall trust and the two metrics in TAM. It was also found that user group with high frequency of the service has relatively high value in the developed scale.
Keyword (in Japanese) (See Japanese page) 
(in English) Recommender systems / Trust / Overtrust / Psychological trait / TAM (Technology Acceptance Model) / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 363, HCS2021-43, pp. 1-6, Jan. 2022.
Paper # HCS2021-43 
Date of Issue 2022-01-21 (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 HCS2021-43

Conference Information
Committee HCS  
Conference Date 2022-01-28 - 2022-01-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Food and Communication, and other general topics 
Paper Information
Registration To HCS 
Conference Code 2022-01-HCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of an Overtrust Scale of Users in Recommender Systems 
Sub Title (in English)  
Keyword(1) Recommender systems  
Keyword(2) Trust  
Keyword(3) Overtrust  
Keyword(4) Psychological trait  
Keyword(5) TAM (Technology Acceptance Model)  
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1st Author's Name Aika Tsuchida  
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 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 2022-01-28 09:40:00 
Presentation Time 30 minutes 
Registration for HCS 
Paper # HCS2021-43 
Volume (vol) vol.121 
Number (no) no.363 
Page pp.1-6 
#Pages
Date of Issue 2022-01-21 (HCS) 


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