TileBars: visualization of term distribution information in full text information access
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Advantages of query biased summaries in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The reader's helper: a personalized document reading environment
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The impact of fluid documents on reading and browsing: an observational study
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Using thumbnails to search the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM SIGIR Forum
ScentTrails: Integrating browsing and searching on the Web
ACM Transactions on Computer-Human Interaction (TOCHI)
Within-Document Retrieval: A User-Centred Evaluation of Relevance Profiling
Information Retrieval
WaveLens: a new view onto Internet search results
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ScentHighlights: highlighting conceptually-related sentences during reading
Proceedings of the 10th international conference on Intelligent user interfaces
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
The influence of caption features on clickthrough patterns in web search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The myth of find: user behaviour and attitudes towards the basic search feature
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
To personalize or not to personalize: modeling queries with variation in user intent
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Visual snippets: summarizing web pages for search and revisitation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual foraging of highlighted text: an eye-tracking study
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
A comparison of visual and textual page previews in judging the helpfulness of web pages
Proceedings of the 19th international conference on World wide web
Factors affecting click-through behavior in aggregated search interfaces
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Generating and retrieving text segments for focused access to scientific documents
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Investigating document triage on paper and electronic media
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
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Search engines help their users decide which results to visit using captions comprising titles, URLs, and snippets containing the query keywords and proximal text from landing pages (the search results linked from the result page). Although caption content can be a key factor in these decisions, snippets provide only basic support for orienting users with landing page content from the search-engine result page (SERP), and no support during the transition to landing pages or once users reach the page following a selection decision. As a result, many searchers must employ inefficient strategies such as skimming and scanning the content of the landing page. In this paper we propose a novel method, called clickable snippets, to address this shortcoming. Clickable snippets provide searchers with a direct and actionable link between SERP captions and landing-page content. We describe a user study comparing clickable snippets with extant methods of orientation support such as query-term highlighting on the landing page and thumbnail previews on the SERP. We show that clickable snippets are preferred by participants, and lead to more effective and efficient searching. Our findings have implications for the design of the user experience in search systems.