Information seeking in electronic environments
Information seeking in electronic environments
Within-Document Retrieval: A User-Centred Evaluation of Relevance Profiling
Information Retrieval
Mobile Interaction Design
Query-based document skimming: a user-centred evaluation of relevance profiling
ECIR'03 Proceedings of the 25th European conference on IR research
Investigating document triage on paper and electronic media
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Creating visualisations for digital document indexing
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
An empirical study of user navigation during document triage
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
Performing document triage on small screen devices. part 1: structured documents
Proceedings of the third symposium on Information interaction in context
Supporting early document navigation with semantic zooming
ICADL'10 Proceedings of the role of digital libraries in a time of global change, and 12th international conference on Asia-Pacific digital libraries
Supporting orientation during search result examination
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The ubiquitous within-document text search feature (Ctrl-F) is considered by users to be a key advantage in electronic information seeking [1]. However what people say they do and what they actually do are not always consistent. It is necessary to understand, acknowledge and identify the cause of this inconsistency. We must identify the physical and cognitive factors to develop better methods and tools, assisting with the search process. This paper discusses the limitations and myths of Ctrl-f in information seeking. A prototype system for within-document search is introduced. Three user studies portray shared behaviour and attitudes, common between participants regarding within-document searching.