ムラタ　キヨシ   Kiyoshi Murata   村田　潔    所属   明治大学  商学部    職種   専任教授
言語種別	英語
発行・発表の年月	2019/12
形態種別	学術雑誌
査読	査読あり
標題	The Effects of Nudging a Privacy Setting Suggestion Algorithm's Outputs on User Acceptability
執筆形態	共著(筆頭者以外)
掲載誌名	Journal of Information Processing
掲載区分	国内
出版社・発行元	Information Processing Society of Japan
巻・号・頁	27,pp.787-801
著者・共著者	Toru Nakamura, Andrew A. Adams, Kiyoshi Murata, Shinsaku Kiyomoto and Nobuo Suzuki
概要	In prior work, a machine learning approach was used to develop a suggestion system for 80 privacy settings, based on a limited sample of five user preferences. Such suggestion systems may help with the user-burden of preference selection. However, such a system may also be used by a malicious provider to manipulate users' preference selections through nudging the output of the algorithm. This paper reports an experiment with such manipulation to clarify the impact and users' resistance of or susceptibility to such manipulation. Users are shown to be highly accepting of suggestions, even where the suggestions are random (though less so than for nudged suggestions).
DOI	10.2197/ipsjjip.27.787
ISSN	1882-6652
researchmap用URL	https://doi.org/10.2197/ipsjjip.27.787