What snippet size is needed in mobile web search?

Kim, J, Thomas, P, Sankaranarayana, R, Gedeon, T and Yoon, H 2017, 'What snippet size is needed in mobile web search?', in Proceedings of the 2nd 2017 Conference on Conference Human Information Interaction and Retrieval (CHIIR 2017), Oslo, Norway, 7 - 11 March 2017, pp. 97-106.


Document type: Conference Paper
Collection: Conference Papers

Title What snippet size is needed in mobile web search?
Author(s) Kim, J
Thomas, P
Sankaranarayana, R
Gedeon, T
Yoon, H
Year 2017
Conference name x
Conference location Oslo, Norway
Conference dates 7 - 11 March 2017
Proceedings title Proceedings of the 2nd 2017 Conference on Conference Human Information Interaction and Retrieval (CHIIR 2017)
Publisher Association for Computing Machinery
Place of publication New York, United States
Start page 97
End page 106
Total pages 10
Abstract A snippet (content summary for a web page) is one of the main elements in a search result page. Search engines have been improved to reduce users' effort in web search, e.g., providing flexible snippet sizes by considering the purpose of the search and suggesting predicted answers. In most cases, search engines for mobile devices present two or three lines of snippet for each result link. Some studies suggest that long snippets provide a better search experience on desktop screens, but this may not be true for mobile devices because of the smaller screen. We conducted a user study to investigate what size of snippet is appropriate for mobile devices. Our findings suggest that users with long snippets on mobile devices exhibit longer search times with no better search accuracy for informational tasks. This is caused by the longer reading time, frequent scrolling with bigger viewport movements, and greater time consumption for searching and reading one result. The overall findings suggest that, unlike desktop users, mobile users are best served by snippets of two to three lines.
Subjects Human Information Behaviour
Keyword(s) Mobile web search
snippet length
search engine result page
DOI - identifier 10.1145/3020165.3020173
Copyright notice © 2017 by the Association for Computing Machinery, Inc.
ISBN 9781450346771
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