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Exploring mouse movements for inferring query intent

Published: 20 July 2008 Publication History

Abstract

Clickthrough on search results have been successfully used to infer user interest and preferences, but are often noisy and potentially ambiguous. We explore the potential of a complementary, more sensitive signal -mouse movements- in providing insights into the intent behind a web search query. We report preliminary results of studying user mouse movements on search result pages, with the goal of inferring user intent - in particular, to explore whether we can automatically distinguish the different query classes such as navigational vs. informational. Our preliminary exploration confirms the value of studying mouse movements for user intent inference, and suggests interesting avenues for future exploration.

References

[1]
E. Agichtein and Z. Zheng. Identifying "best bet" web search results by mining past user behavior. In Proc. of KDD, 2006.
[2]
R. Atterer, M. Wnuk, and A. Schmidt. Knowing the user's every move: user activity tracking for website usability evaluation and implicit interaction. In Proc. of WWW, 2006.
[3]
F. Mueller and A. Lockerd. Cheese: tracking mouse movement activity on websites, a tool for user modeling. In Proc. of CHI, 2001.
[4]
K. Rodden and X. Fu. Exploring how mouse movements relate to eye movements on web search results pages. In Proc. of WISI Workshop, 2006.

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  • (2024)Modeling Attentive Interaction Behavior for Web Content Identification in Exploratory Information SeekingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997508:4(1-28)Online publication date: 21-Nov-2024
  • (2023)Mouse tracking and consumer experience: exploring the associations between mouse movements, consumer emotions, brand awareness and purchase intentBehaviour & Information Technology10.1080/0144929X.2023.223502443:10(1924-1937)Online publication date: 13-Jul-2023
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    cover image ACM Conferences
    SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
    July 2008
    934 pages
    ISBN:9781605581644
    DOI:10.1145/1390334
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 20 July 2008

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    Author Tags

    1. mouse movement analysis
    2. query intent inference
    3. user behavior modeling

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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    Cited By

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    • (2024)Modeling Attentive Interaction Behavior for Web Content Identification in Exploratory Information SeekingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997508:4(1-28)Online publication date: 21-Nov-2024
    • (2023)Mouse tracking and consumer experience: exploring the associations between mouse movements, consumer emotions, brand awareness and purchase intentBehaviour & Information Technology10.1080/0144929X.2023.223502443:10(1924-1937)Online publication date: 13-Jul-2023
    • (2023)What can a swiped word tell us more? Demographic and behavioral correlates from shape-writing text entryNeural Computing and Applications10.1007/s00521-023-08559-035:21(15531-15548)Online publication date: 13-Apr-2023
    • (2022)Crystalline: Lowering the Cost for Developers to Collect and Organize Information for Decision MakingProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501968(1-16)Online publication date: 29-Apr-2022
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    • (2021)Location-Aware Real-Time Recommender Systems for Brick-and-Mortar RetailersINFORMS Journal on Computing10.1287/ijoc.2020.1020Online publication date: 25-Feb-2021
    • (2020)Continuous prefetch for interactive data applicationsProceedings of the VLDB Endowment10.14778/3407790.340782613:12(2297-2311)Online publication date: 14-Sep-2020
    • (2020)Using Mouse Movement Heatmaps to Visualize User Attention to WordsProceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society10.1145/3419249.3421250(1-5)Online publication date: 25-Oct-2020
    • (2020)Splitting the Web Analytics AtomProceedings of the 10th International Conference on Web Intelligence, Mining and Semantics10.1145/3405962.3405984(33-43)Online publication date: 30-Jun-2020
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