Evaluating citation visualization and exploration methods for supporting academic search tasks
Author:
Hoeber Orland,Khazaei Taraneh
Abstract
Purpose
– Conducting academic searches within online digital libraries can be a difficult task due to the complexity of the searcher’s information need. The interfaces for such digital libraries commonly use simple search features that provide limited support for the fundamental strategies that academic searchers employ. The authors have developed a novel visualisation interface called Bow Tie Academic Search to address some of these shortcomings, and present in this paper the findings from a user evaluation. The paper aims to discuss these issues.
Design/methodology/approach
– A controlled laboratory study was conducted to compare a traditional search interface to Bow Tie Academic Search. In total, 24 graduate students were recruited to perform academic searches using the two candidate interfaces, guided by specific sub-tasks that focus on citation and keyword analysis strategies.
Findings
– Although the use of the core visualisation and exploration features did not reveal differences in retrieval effectiveness or efficiency, the query refinement features were found to be effective. Strongly positive impressions of usefulness and ease of use of all aspects of the system were reported, along with a preference for using Bow Tie Academic Search for academic search tasks.
Originality/value
– This study provides insight into the potential value for providing visual and interactive interfaces for supporting academic search tasks and strategies. While the quantitative improvements over the traditional search interface were minimal, the qualitative measures illustrate the value of Bow Tie Academic Search.
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Reference48 articles.
1. Anderson, T.J.
,
Hussam, A.
,
Plummer, B.
and
Jacobs, N.
(2002), “Pie charts for visualizing query term frequency in search results”, Proceedings of the International Conference on Asian Digital Libraries, Springer, Berlin, pp. 440-451. 2. Awadallah, A.H.
,
White, R.W.
,
Pantel, P.
,
Dumais, S.T.
and
Wang, Y.-M.
(2014), “Supporting complex search tasks”, Proceedings of the ACM International Conference on Information and Knowledge Management, ACM, New York, NY, pp. 1-10. 3. Bates, M.J.
(1989), “The design of browsing and berrypicking techniques for the online search interface”,
Online Information Review
, Vol. 13 No. 5, pp. 407-424. 4. Belkin, N.J.
,
Clarke, C.L.A.
,
Gao, N.
,
Kamps, J.
and
Karlgren, J.
(2011), “Report on the SIGIR workshop on ‘entertain me’: supporting complex search tasks”,
ACM SIGIR Forum
, Vol. 45 No. 2, pp. 51-59. 5. Bergstrom, P.
and
Atkinson, D.C.
(2009), “Augmenting the exploration of digital libraries with web-based visualizations”, Proceedings of the International Conference on Digital Information Management, IEEE, Piscataway, NJ, pp. 1-7.
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