Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/130101


Title: Tag-based information access in image collections: Insights from log and eye-gaze analyses
Authors: 林怡伶
Lin, Yi‐ling
Parra, Denis
Trattner, Christoph
Brusilovsky, Peter
Contributors: 資管系
Date: 2019-02
Issue Date: 2020-06-20 14:09:56 (UTC+8)
Abstract: Tag clouds have been utilized as a “social” way to find and visualize information, providing both one-click access and a snapshot of the “aboutness” of a tagged collection. While many research projects have explored and compared various tag artifacts using information theory and simulations, fewer studies have been conducted to compare the effectiveness of different tag-based browsing interfaces from the user’s point of view. This research aims to investigate how users utilize tags in image search context and to what extent different organizations of tag browsing interfaces are useful for image search. We conducted two experiments to explore user behavior and performance with three interfaces: two tag-enabled interfaces (the regular and faceted tag-clouds) and a baseline (search-only) interface. Our results demonstrate the value of tags in the image search context, the role of tags in the exploratory search, and the strengths of two kinds of tag organization explored in this paper.
Relation: Knowledge and Information Systems, pp.1-28
Data Type: article
DOI 連結: https://doi.org/10.1007/s10115-019-01343-4
Appears in Collections:[資訊管理學系] 期刊論文

Files in This Item:

File Description SizeFormat
60.pdf2852KbAdobe PDF66View/Open


All items in 學術集成 are protected by copyright, with all rights reserved.


社群 sharing