GLASE-IRUKA: Gaze feedback improves satisfaction in exploratory image search

Viktors Garkavijs, Rika Okamoto, Tetsuo Ishikawa, Mayumi Toshima, Noriko Kando

研究成果: Conference contribution

抄録

We propose two methods for exploratory image search systems using gaze data for continuous learning of the users' interests and relevance calculation. The first system uses the fixation time over the images selected by gaze in the search results pages, whereas the second one utilizes the fixation time over the clicked images and fixations over the non- selected images on the results page. A user model is trained and continuously updated from the gaze input throughout the whole session in both systems. We conducted an experiment with 24 users, each performing four search tasks using the proposed systems and compared the results to a baseline system, which does not employ any gaze data. The Gaze feedback system users viewed 22.35% more images than the users of the baseline system. A high correlation between the number of saved images and the satisfaction with the results was observed in data collected from the users of a mouse feedback system enriched by gaze data. The results show that including the gaze data into the relevance calculation in both cases increases the degree of satisfaction with the search results compared with.

本文言語English
ホスト出版物のタイトルWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
出版社Association for Computing Machinery, Inc
ページ273-274
ページ数2
ISBN(電子版)9781450327459
DOI
出版ステータスPublished - 2014 4月 7
外部発表はい
イベント23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of
継続期間: 2014 4月 72014 4月 11

出版物シリーズ

名前WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

Other

Other23rd International Conference on World Wide Web, WWW 2014
国/地域Korea, Republic of
CitySeoul
Period14/4/714/4/11

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ソフトウェア

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