Affiliation:
1. Memorial University of Newfoundland, Canada
Abstract
People commonly experience difficulties when searching the Web, arising from an incomplete knowledge regarding their information needs, an inability to formulate accurate queries, and a low tolerance for considering the relevance of the search results. While simple and easy to use interfaces have made Web search universally accessible, they provide little assistance for people to overcome the difficulties they experience when their information needs are more complex than simple fact-verification. In human-centred Web search, the purpose of the search engine expands from a simple information retrieval engine to a decision support system. People are empowered to take an active role in the search process, with the search engine supporting them in developing a deeper understanding of their information needs, assisting them in crafting and refining their queries, and aiding them in evaluating and exploring the search results. In this chapter, recent research in this domain is outlined and discussed.
Cited by
5 articles.
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1. Information Visualization for Interactive Information Retrieval;Proceedings of the 2018 Conference on Human Information Interaction&Retrieval - CHIIR '18;2018
2. Supporting academic search tasks through citation visualization and exploration;International Journal on Digital Libraries;2016-04-26
3. TwIST;Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval;2016-03-13
4. Evaluating citation visualization and exploration methods for supporting academic search tasks;Online Information Review;2015-04-13
5. A Granular Computing Perspective on Image Organization within an Image Retrieval Context;Rough Sets and Knowledge Technology;2012