Journal article
PaperPoles: Facilitating Adaptive Visual Exploration of Scientific Publications by Citation Links
Journal of the Association for Information Science and Technology, v 70(8), pp 843-857
01 Aug 2019
Abstract
Finding relevant publications is a common task. Typically, a researcher browses through a list of publications and traces additional relevant publications. When relevant publications are identified, the list may be expanded by the citation links of the relevant publications. The information needs of researchers may change as they go through such iterative processes. The exploration process quickly becomes cumbersome as the list expands. Most existing academic search systems tend to be limited in terms of the extent to which searchers can adapt their search as they proceed. In this article, we introduce an adaptive visual exploration system named PaperPoles to support exploration of scientific publications in a context-aware environment. Searchers can express their information needs by intuitively formulating positive and negative queries. The search results are grouped and displayed in a cluster view, which shows aspects and relevance patterns of the results to support navigation and exploration. We conducted an experiment to compare PaperPoles with a list-based interface in performing two academic search tasks with different complexity. The results show that PaperPoles can improve the accuracy of searching for the simple and complex tasks. It can also reduce the completion time of searching and improve exploration effectiveness in the complex task. PaperPoles demonstrates a potentially effective workflow for adaptive visual search of complex information.
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Details
- Title
- PaperPoles: Facilitating Adaptive Visual Exploration of Scientific Publications by Citation Links
- Creators
- Jiangen He - Drexel UniversityQing Ping - Drexel UniversityWen Lou - East China Normal UniversityChaomei Chen - Drexel University
- Publication Details
- Journal of the Association for Information Science and Technology, v 70(8), pp 843-857
- Publisher
- Wiley
- Number of pages
- 15
- Grant note
- 1633286 / National Science Foundation; National Science Foundation (NSF) 17CTQ025 / National Social Science Foundation of China
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000486779500006
- Scopus ID
- 2-s2.0-85062326711
- Other Identifier
- 991019168020704721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Information Science & Library Science