Mobile search behaviors : : an in-depth analysis based on contexts, APPs, and devices /
By: Wu, Dan (Professor of library and information science) [author.].
Contributor(s): Liang, Shaobo [author.].
Material type:
BookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on information concepts, retrieval, and services: #63.Publisher: San Rafael, California (1537 Fourth Street, 1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, [2018]Description: 1 PDF (xvii, 159 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9781681733005; 9781681732992.Subject(s): Internet searching | Mobile apps | mobile search behavior | information-seeking behavior | user information behavior | mobile search context | search task | APP transition | APP usage | cross-device search | information preparation | information resumption | search performance | human-computer interactionGenre/Form: Electronic books.DDC classification: 025.0425 Online resources: Abstract with links to resource Also available in print.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
E books
|
PK Kelkar Library, IIT Kanpur | Available | EBKE887 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Includes bibliographical references (pages 145-158) and index.
1. Information search in mobile context -- 1.1. Introduction -- 1.2. Key terms -- 1.3. Literature review -- 1.4. Research design
2. Context-based mobile search behaviors -- 2.1. Mobile search strategies -- 2.2. Modeling context-based mobile search -- 2.3. Designing context-based mobile search task collection -- 2.4. Summary
3. Mobile search behaviors and APP usage -- 3.1. App topics and mobile search -- 3.2. APP transition in mobile search -- 3.3. Follow-up actions triggered by mobile search -- 3.4. Summary
4. Mobile search behavior across different devices -- 4.1. Information preparation behavior in cross-device search -- 4.2. Information resumption behavior in cross-device search -- 4.3. Exploring the On-the-spot search performance in cross-device search -- 4.4. Predicting search performance in cross-device search -- 4.5. Summary
5. Discussion and conclusions -- 5.1. Discussion -- 5.2. Implications -- 5.3. Limitations -- 5.4. Conclusions.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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With the rapid development of mobile Internet and smart personal devices in recent years, mobile search has gradually emerged as a key method with which users seek online information. In addition, cross-device search also has been regarded recently as an important research topic. As more mobile applications (APPs) integrate search functions, a user's mobile search behavior on different APPs becomes more significant. This book provides a systematic review of current mobile search analysis and studies user mobile search behavior from several perspectives, including mobile search context, APP usage, and different devices. Two different user experiments to collect user behavior data were conducted. Then, through the data from user mobile phone usage logs in natural settings, we analyze the mobile search strategies employed and offer a context-based mobile search task collection, which then can be used to evaluate the mobile search engine. In addition, we combine mobile search with APP usage to give more in-depth analysis, such as APP transition in mobile search and follow-up actions triggered by mobile search. The study, combining the mobile search with APP usage, can contribute to the interaction design of APPs, such as the search recommendation and APP recommendation. Addressing the phenomenon of users owning more smart devices today than ever before, we focus on user cross device search behavior. We model the information preparation behavior and information resumption behavior in cross-device search and evaluate the search performance in cross-device search. Research on mobile search behaviors across different devices can help to understand online user information behavior comprehensively and help users resume their search tasks on different devices.
Also available in print.
Title from PDF title page (viewed on March 30, 2018).
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