Eye-Tracking Analysis of User Behavior and Performance in Web Search on Large and Small Screens

被引:61
|
作者
Kim, Jaewon [1 ]
Thomas, Paul [1 ,2 ]
Sankaranarayana, Ramesh [1 ]
Gedeon, Tom [1 ]
Yoon, Hwan-Jin [3 ]
机构
[1] Australian Natl Univ, Res Sch Comp Sci, Canberra, ACT 0200, Australia
[2] CSIRO, Canberra, ACT 2601, Australia
[3] Australian Natl Univ, Stat Consulting Unit, Canberra, ACT 0200, Australia
关键词
human computer interaction; searching; web pages; INFORMATION-SEEKING; MOVEMENTS; TASK;
D O I
10.1002/asi.23187
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, searching the web on mobile devices has become enormously popular. Because mobile devices have relatively small screens and show fewer search results, search behavior with mobile devices may be different from that with desktops or laptops. Therefore, examining these differences may suggest better, more efficient designs for mobile search engines. In this experiment, we use eye tracking to explore user behavior and performance. We analyze web searches with 2 task types on 2 differently sized screens: one for a desktop and the other for a mobile device. In addition, we examine the relationships between search performance and several search behaviors to allow further investigation of the differences engendered by the screens. We found that users have more difficulty extracting information from search results pages on the smaller screens, although they exhibit less eye movement as a result of an infrequent use of the scroll function. However, in terms of search performance, our findings suggest that there is no significant difference between the 2 screens in time spent on search results pages and the accuracy of finding answers. This suggests several possible ideas for the presentation design of search results pages on small devices.
引用
收藏
页码:526 / 544
页数:19
相关论文
共 50 条
  • [31] Visual behavior characteristics of historical landscapes based on eye-tracking technology
    Hao, Shimeng
    Hou, Rui
    Zhang, Jie
    Shi, Yang
    Zhang, Yisong
    Wang, Chen
    JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING, 2025, 24 (02) : 487 - 506
  • [32] Time and Spatial Eye-Tracking Analysis of Face Observing and Recognition
    Iskra, Andrej
    Tomc, Helena Gabrijelcic
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2019, 26 (04): : 977 - 984
  • [33] An Eye-tracking Analysis of the Effect of Prior Comparison on Analogical Mapping
    Clement, Catherine A.
    Harris, Ruby C.
    Burns, Barbara M.
    Weatherholt, Tara N.
    CURRENT PSYCHOLOGY, 2010, 29 (04) : 273 - 287
  • [34] Nonlinear Analysis of Eye-Tracking Information for Motor Imagery Assessments
    Lanata, Antonio
    Sebastiani, Laura
    Di Gruttola, Francesco
    Di Modica, Stefano
    Scilingo, Enzo Pasquale
    Greco, Alberto
    FRONTIERS IN NEUROSCIENCE, 2020, 13
  • [35] The Perception Engineer's Toolkit for Eye-Tracking data analysis
    Kuebler, Thomas C.
    ETRA 2020 SHORT PAPERS: ACM SYMPOSIUM ON EYE TRACKING RESEARCH & APPLICATIONS, 2020,
  • [36] Exploring the Relationship Between Mathematics Anxiety and Performance: An Eye-Tracking Approach
    Hunt, Thomas E.
    Clark-Carter, David
    Sheffield, David
    APPLIED COGNITIVE PSYCHOLOGY, 2015, 29 (02) : 226 - 231
  • [37] Parametric and Nonparametric Analysis of Eye-Tracking Data by Anomaly Detection
    Jansson, Daniel
    Rosen, Olov
    Medvedev, Alexander
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (04) : 1578 - 1586
  • [38] The influence of target layout and target graphic type on searching performance based on eye-tracking technology
    Zuo, Yaxue
    Qi, Jin
    Fan, Zhijun
    Wang, Zhenya
    Xu, Huiyun
    Wang, Shurui
    Zhang, Nieqiang
    Hu, Jie
    FRONTIERS IN PSYCHOLOGY, 2023, 14
  • [39] Using qualitative eye-tracking data to inform audio presentation of dynamic Web content
    Brown, Andy
    Jay, Caroline
    Harper, Simon
    NEW REVIEW OF HYPERMEDIA AND MULTIMEDIA, 2010, 16 (03) : 281 - 301
  • [40] Ergonomics Evaluation of Large Screen Display in Cockpit Based on Eye-Tracking Technology
    Wang, Yanyan
    Liu, Qingfeng
    Lou, Wanli
    Xiong, Duanqin
    Bai, Yu
    Du, Jian
    Guo, Xiaochao
    MAN-MACHINE-ENVIRONMENT SYSTEM ENGINEERING, MMESE 2018, 2019, 527 : 347 - 356