Abstract
People often engage in many search tasks that be collaborative, where two or more individuals work together with the joint information needs. We introduced and built CoZpace, a web-based application that enables a group of users to collaborate on searching the web. We also presented the main feature of CoZpace, named Snapboard, which is a shared board for a collection of group-created visual snippets. The visual snippet is a snapshot of focused and salient information captured by a user. It acts as a visual summarization of web pages, which allows any user to quickly recognize information and to revisit web pages. This paper describes example usage scenarios and initially investigates the ways Snapboard facilitates users in individual and asynchronous collaborative search. We then analyze users’ interactions and discuss how Snapboard supports search collaboration among study participants.
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Notes
- 1.
Our previous work experimented an algorithm that generates query suggestions extracted from terms present in visual snippets [10].
- 2.
The remaining two classes of searches are navigational and transactional, where users aim to find a single specific website or to perform some web-mediated activity, respectively.
- 3.
Web pages are marked as “not sure” if there is no consensus on relevance judgments/voting by group members.
- 4.
Already used queries are highlighted in yellow as part of query suggestion.
- 5.
In this study, we use Bing API for search and textual snippet generation. Other open source search engines can alternatively be used, such as Lemur Indri, Lucene and Terrier toolkits.
- 6.
- 7.
Any search session in which one participant performs first is considered the IN scenario and we call such a participant “P1”.
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Leelanupab, T., Kruajirayu, H., Kanungsukkasem, N. (2015). Snapboard: A Shared Space of Visual Snippets - A Study in Individual and Asynchronous Collaborative Web Search. In: Zuccon, G., Geva, S., Joho, H., Scholer, F., Sun, A., Zhang, P. (eds) Information Retrieval Technology. AIRS 2015. Lecture Notes in Computer Science(), vol 9460. Springer, Cham. https://doi.org/10.1007/978-3-319-28940-3_13
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