Advantages of query biased summaries in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Web search behavior of Internet experts and newbies
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Transparent Queries: investigation users' mental models of search engines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
ACM SIGIR Forum
Using terminological feedback for web search refinement: a log-based study
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A task-oriented study on the influencing effects of query-biased summarisation in web searching
Information Processing and Management: an International Journal
Findex: search result categories help users when document ranking fails
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Are people biased in their use of search engines?
Communications of the ACM - Alternate reality gaming
A longitudinal study of real-time search assistance adoption
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Presentation bias is significant in determining user preference for search results—A user study
Journal of the American Society for Information Science and Technology
Effects of low & high literacy on user performance in information search and retrieval
BCS-HCI '08 Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction - Volume 1
When Search Meets Web Usability
When Search Meets Web Usability
Search User Interfaces
NDM'09 Proceedings of the 9th Bi-annual international conference on Naturalistic Decision Making
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Search engines are often used to retrieve content on the Web, but it is not a simple activity for low-literate users since they have to know the technology and create strategies to query and navigate. Their interaction with search engines differ from high-literate users on strategies used, perception, communication and performance. In order to improve search engines and create solutions, we need to understand these users' needs. This research aimed to identify how search engine features influence the interaction of low-literate users. We analyzed the interaction of ten users through user tests that were part of a case study. Based on a limited set of features of a specific search engine, we identified what features were used, the perception about them and some barriers faced by these users. This study led to a list of recommendations for the development of search interfaces focused on low-literate users.