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Cross-device Web Search [Mīkstie vāki]

(Wuhan University, China), (Wuhan University, China), (Wuhan University, China)
  • Formāts: Paperback / softback, 138 pages, height x width: 234x156 mm, weight: 222 g, 27 Line drawings, black and white; 3 Halftones, black and white; 30 Illustrations, black and white
  • Izdošanas datums: 14-Apr-2022
  • Izdevniecība: Routledge
  • ISBN-10: 0367193132
  • ISBN-13: 9780367193133
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  • Cena: 48,20 €
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Cross-device Web SearchPalielināt
  • Formāts: Paperback / softback, 138 pages, height x width: 234x156 mm, weight: 222 g, 27 Line drawings, black and white; 3 Halftones, black and white; 30 Illustrations, black and white
  • Izdošanas datums: 14-Apr-2022
  • Izdevniecība: Routledge
  • ISBN-10: 0367193132
  • ISBN-13: 9780367193133
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780367193133.html
Keywords:

Cross-device Web Search

is the first book to examine cross-device search behavior, which takes place when people utilize multiple devices and several sessions to research the same topic.

 



Cross-device Web Search

is the first book to examine cross-device search behavior, which takes place when people utilize multiple devices and several sessions to research the same topic.

Providing a comprehensive examination of cross-device search behaviors, the book also models and analyses their most important features and, by doing so, helps to elucidate the motivations behind such behaviors. Drawing on a variety of methods and sources, including system design, user experiments, and qualitative and quantitative analysis, the book introduces cross-device search, relates it to relevant conceptual models, and identifies cross-device search topics. Providing discussion of a comprehensive range of behaviors in the context of cross-device search, including querying, gazing, clicking, and touching, the book also presents the design and development of a system to support cross-device search, explores cross-device search behavior modeling, and predicts users’ search performance.

Cross-device Web Search

will be of great interest to academics and students situated in the fields of library and information science, computer science, and management science. The book should also provide fascinating insights to practitioners and others interested in information search retrieval, information seeking behavior, and human-computer interaction communities.

List of Figures
ix
List of Tables
xi
Support Material xiii
1 Introduction to Cross-device Search
1(9)
1.1 Background
1(1)
1.2 Key Terms
2(3)
1.2.1 Cross-device/Cross-screen
3(1)
1.2.2 Multi-session Search
3(1)
1.2.3 Cross-session Search
3(1)
1.2.4 Cross-device Search
4(1)
1.2.5 Successive Search
4(1)
1.2.6 Exploratory Search
5(1)
1.3 Cross-device Search Study Methods
5(1)
1.4 Plan of the Book
6(4)
2 Theories Relating to Cross-device Search
10(10)
2.1 Exploratory Search Theory
10(2)
2.1.1 Definition of Exploratory Search
10(1)
2.1.2 Models of Exploratory Search
11(1)
2.2 Successive Search Theory
12(2)
2.2.1 Spink's Theory of Successive Search
12(1)
2.2.2 Extension Theory of Successive Search
13(1)
2.3 Theoretical Models Supporting Cross-device Search Research
14(3)
2.3.1 Cross-device Taxonomy
14(1)
2.3.2 INFEX Framework
15(1)
2.3.3 Cross-device Search Pattern Model
16(1)
2.4 Summary
17(3)
3 Cross-device Search Topics
20(31)
3.1 Existing Exploration on Cross-device Search Topics
20(4)
3.1.1 Subjects in Cross-device Search
21(1)
3.1.2 Task Type
21(2)
3.1.3 Task Complexity Measurement
23(1)
3.2 Crowdsourcing Survey on Cross-device Search Topics
24(5)
3.2.1 Motivation
24(1)
3.2.2 Crowdsourcing Platforms
24(1)
3.2.3 Survey Design
25(4)
3.2.4 Respondent Backgrounds
29(1)
3.3 Cross-Device Search Topic Identification
29(12)
3.3.1 Coding Topic Features
29(3)
3.3.2 Subject, Task Type and Complexity of Topics
32(2)
3.3.3 Context ofTopics
34(2)
3.3.4 Intent and Motivation ofTopics
36(3)
3.3.5 Process ofTopic Search
39(2)
3.4 Cross-device Search Topic Collection Development
41(6)
3.4.1 Correlation among Topic and Context Features
41(2)
3.4.2 Developing Topic Collection based on Correlations
43(4)
3.5 Summary
47(4)
4 Cross-device Search Support Techniques and Systems
51(10)
4.1 Introduction of Existing Cross-device Search Systems
51(2)
4.1.1 Cross-device Support System in Industry
51(1)
4.1.2 Cross-device Support Systems in Academic
52(1)
4.2 Cross-device Search Support Techniques
53(3)
4.2.1 Cross-device Tracking Techniques
53(1)
4.2.2 Cross-device Search Support Methods Based on Context
54(1)
4.2.3 Cross-device Search-Related Patents
55(1)
4.3 Cross-device Search-Related Algorithms
56(1)
4.4 Cross-device Search Systems Introduction and Development
56(2)
4.5 Summary
58(3)
5 Cross-device Search Behaviors
61(52)
5.1 Related Work on Cross-device Search Behaviors
61(3)
5.1.1 Multi-session and Cross-session Search Behaviors
61(2)
5.1.2 Interaction and Search Behaviors in Cross-device Scenarios
63(1)
5.2 Cross-device Search Experiment Design
64(14)
5.2.1 Research Motivation
64(2)
5.2.2 Theoretical Background
66(2)
5.2.3 Simulating Cross-device Search Motivations
68(2)
5.2.4 Experiment Procedure
70(3)
5.2.5 Participant Demographics
73(1)
5.2.6 Data Collection
74(3)
5.2.7 Data Analysis
77(1)
5.3 Querying in Cross-device Search
78(9)
5.3.1 Basic Query Characteristics in Cross-device Search
78(3)
5.3.2 Query Reformulation in Cross-device Search
81(4)
5.3.3 Query Semantics Characteristics in Cross-device Search
85(2)
5.4 Clicking in Cross-device Search
87(2)
5.4.1 Click Behavior Measurement
87(1)
5.4.2 Click Characteristics during the Cross-device Search
88(1)
5.5 Cursor Movements and Touching in Cross-device Search
89(7)
5.5.1 Desktop Cursor Movements in Cross-device Search
89(5)
5.5.2 Mobile Touch Interactions (MTI) in Cross-device Search
94(2)
5.6 Gazing in Cross-device Search
96(3)
5.6.1 Eye Tracking Analysis of Search Behavior
96(2)
5.6.2 Characteristics of Eye Movement in Cross-device Search
98(1)
5.7 Effect Size on Observable Cross-device Search Behavior
99(3)
5.8 Cognition of Cross-device Search
102(3)
5.8.1 Subjective Evaluation of Cross-device Search
102(1)
5.8.2 Search Strategies of Cross-device Search
103(2)
5.9 Summary
105(8)
6 Cross-device Search Behavior Modeling
113(13)
6.1 Review of Cross-device Search-Related Behavior Modeling
113(2)
6.1.1 The approach of Search Behavior Modeling
113(1)
6.1.2 Cross-session Search Behavior Modeling
114(1)
6.1.3 Cross-device Search Behavior Modeling
114(1)
6.2 Modeling Cross-device Search Behavior under Different Motivations
115(4)
6.2.1 Features
115(1)
6.2.2 Dataset
116(1)
6.2.3 Classifier
116(1)
6.2.4 Training
117(2)
6.3 Analysis of Model Performance Change
119(1)
6.3.1 Cross-device Search Behavior Model of Controlled Motivation
119(1)
6.3.2 Cross-device Search Behavior Model of Autonomous Motivation
119(1)
6.4 Analysis of Feature Importance
120(2)
6.4.1 Important Features of the Superior Model of Controlled Motivation
120(1)
6.4.2 Important Features of Superior Model of Autonomous Motivation
121(1)
6.5 Summary
122(4)
7 Discussion and Conclusion
126(11)
7.1 Characteristics of Cross-device Search Topics Revealing Information Needs
126(2)
7.2 Effect of Motivation on Cross-device Search Behaviors
128(2)
7.3 Effective Method of Modeling Cross-device Search under Different Motivations
130(1)
7.4 Implications of Cross-device Search under Different Motivations
131(1)
7.5 Insight on Cross-device Search Studies
132(1)
7.6 Conclusion
132(3)
7.7 Summary
135(2)
Index 137
Dan Wu (Ph.D) is a Professor at Wuhan University, China. Her research interests include information retrieval, information behavior, and human-computer interaction. One of her most important publications is Mobile Search Behaviors: An In-depth Analysis based on Contexts, APPs and Devices, published by Morgan & Claypool.

Jing Dong (Ph.D) is an assistant professor at the School of Information Management, Central China Normal University. She obtained her Ph.D degree in Information Science at Wuhan University. She was a visiting scholar at the University of Pittsburgh. She is interested in research areas of information-seeking behavior and humancomputer interaction. She has published over 20 papers in peer-reviewed journals, such as Information Processing & Management and Journal of the Association for Information Science and Technology, and conference proceedings such as SIGIR and iConference.

Shaobo Liang is an assistant professor at the School of Information Management at Wuhan University. His research interests lie in understanding user information-seeking behavior, mobile search behavior, and cross-device search. He has published over 20 papers in academic journals and conferences.