[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
research-article

Analysis of Search and Browsing Behavior of Young Users on the Web

Published: 01 March 2014 Publication History

Abstract

The Internet is increasingly used by young children for all kinds of purposes. Nonetheless, there are not many resources especially designed for children on the Internet and most of the content online is designed for grown-up users. This situation is problematic if we consider the large differences between young users and adults since their topic interests, computer skills, and language capabilities evolve rapidly during childhood. There is little research aimed at exploring and measuring the difficulties that children encounter on the Internet when searching for information and browsing for content. In the first part of this work, we employed query logs from a commercial search engine to quantify the difficulties children of different ages encounter on the Internet and to characterize the topics that they search for. We employed query metrics (e.g., the fraction of queries posed in natural language), session metrics (e.g., the fraction of abandoned sessions), and click activity (e.g., the fraction of ad clicks). The search logs were also used to retrace stages of child development. Concretely, we looked for changes in interests (e.g., the distribution of topics searched) and language development (e.g., the readability of the content accessed and the vocabulary size).
In the second part of this work, we employed toolbar logs from a commercial search engine to characterize the browsing behavior of young users, particularly to understand the activities on the Internet that trigger search. We quantified the proportion of browsing and search activity in the toolbar sessions and we estimated the likelihood of a user to carry out search on the Web vertical and multimedia verticals (i.e., videos and images) given that the previous event is another search event or a browsing event.
We observed that these metrics clearly demonstrate an increased level of confusion and unsuccessful search sessions among children. We also found a clear relation between the reading level of the clicked pages and characteristics of the users such as age and educational attainment.
In terms of browsing behavior, children were found to start their activities on the Internet with a search engine (instead of directly browsing content) more often than adults. We also observed a significantly larger amount of browsing activity for the case of teenager users. Interestingly we also found that if children visit knowledge-related Web sites (i.e., information-dense pages such as Wikipedia articles), they subsequently do more Web searches than adults. Additionally, children and especially teenagers were found to have a greater tendency to engage in multimedia search, which calls to improve the aggregation of multimedia results into the current search result pages.

References

[1]
An, S. and Stern, S. 2011. Mitigating the effects of advergames on children; Do advertising breaks work? J. Advertis. 40, 1, 43--56.
[2]
Azzopardi, L., Dowie, D., Duarte, S., Eickhoff, C., Glassey, R., Gyllstrom, K., Hiemstra, D., de Jong, F., Kruisinga, F., Marshall, K., Moens, S., Polajnar, T., van der Sluis, F., and de Vries, A. 2012a. Emse: Supporting children’s information needs within a hospital environment. In Proceedings of the 34th European Conference on IR Research (ECIR’12). Springer, 578--580.
[3]
Azzopardi, L., Dowie, D., and Marshall, K. A. 2012b. Yoosee: A video browsing application for young children. In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’12). ACM Press, New York, 1017--1017.
[4]
Azzopardi, L., Dowie, D., Marshall, K. A., and Glassey, R. 2012c. Mase: Create your own mash-up search interface. In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’12). ACM Press, New York, 1008--1008.
[5]
Beheshti, J., Large, A., and Tam, M. 2010. Transaction logs and search patterns on a children’s portal/journaux de transaction et modes de recherche sur un portail web destiné aux enfants. Canadian J. Inf. Library Sci. 34, 4, 391--402.
[6]
Belkin, N. J., Cool, C., Kelly, D., Kim, G., Y. Kim, J., J. Lee, H., Muresan, G., C. Tang, M., and Yuan, X. J. 2003. Query length in interactive information retrieval. In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval (SIGIR’03). ACM Press, New York, 205--212.
[7]
Bilal, D. 2000. Children’s use of the yahooligans! Web search engine i. Cognitive, physical, and affective behaviors on fact-based search tasks. J. Amer. Soc. Inf. Sci. 51, 7, 646--665.
[8]
Bilal, D. 2001. Children’s use of the yahooligans! Web search engine ii. Cognitive and physical behaviors on research tasks. J. Amer. Soc. Inf. Sci. 52, 2, 118--136.
[9]
Bilal, D. 2002. Children’s use of the yahooligans! Web search engine iii. Cognitive and physical behaviors on fully self-generated search tasks. J. Amer. Soc. Inf. Sci. 53, 13, 1170--1183.
[10]
Bilal, D. and Watson, J. S. 1998. Children’s paperless projects: Inspiring research via the web. In IFLA General Conference and Assembly.
[11]
Borgman, C. L., Hirsh, S. G., Walter, V. A., and Gallagher, A. L. 1995. Children’s searching behavior on browsing and keyword online catalogs: The science library catalog project. J. Amer. Soc. Inf. Sci. 46, 9, 663--684.
[12]
Bowler, L., Large, A., and Rejskind, G. 2001. Primary school students, information literacy and the web. Educ. Inf. 19, 3, 201--224.
[13]
Broch, E. 2000. Children’s search engines from an information search process perspective. School Libr. Media Res. 3. http://www.ala.org/aasl/aaslpubsandjournals/slmrb/slmrcontents/volume32000/childrens.
[14]
Broder, A. 2002. A taxonomy of web search. SIGIR Forum 36, 3--10.
[15]
Burton, M. C. and Walther, J. B. 2001. The value of web log data in use-based design and testing. J. Comput.-Mediated Comm. 6, 3, 0--0.
[16]
Cecchin, G. 1987. Hypothesizing, circularity, and neutrality revisited: An invitation to curiosity. Family Process. 26, 4, 405--413.
[17]
Chelaru, S., Altingovde, I. S., and Siersdorfer, S. 2012. Analyzing the polarity of opinionated queries. In Proceedings of the 34th European Conference on Advances in Information Retrieval (ECIR’12). Springer, 463--467.
[18]
Cheng, Z., Gao, B., and Liu, T.-Y. 2010. Actively predicting diverse search intent from user browsing behaviors. In Proceedings of the 19th International Conference on World Wide Web (WWW’10). ACM Press, New York, 221--230.
[19]
Child Trends Data Bank. 2013. Home computer access and Internet use. http://www.childtrends.org/.
[20]
Church, K. 2011. How many multiword expressions do people know? In Proceedings of the Workshop on Multiword Expressions: From Parsing and Generation to the Real World (MWE’11). Association for Computational Linguistics, 137--144.
[21]
Collins-Thompson, K., Bennett, P. N., White, R. W., de la Chica, S., and Sontag, D. 2011. Personalizing web search results by reading level. In Proceedings of the 20th ACM International Conference on Information and Knowledge Management. ACM Press, New York, 403--412.
[22]
Craswell, N., Zoeter, O., Taylor, M., and Ramsey, B. 2008. An experimental comparison of click position-bias models. In Proceedings of the International Conference on Web Search and Data Mining (WSDM’08). ACM Press, New York, 87--94.
[23]
De Belder, J. and Moens, M.-F. 2010. Integer linear programming for dutch sentence compression. In Proceedings of the 11th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing’10). Springer, 711--723.
[24]
Downey, D., Dumais, S., Liebling, D., and Horvitz, E. 2008. Understanding the relationship between searchers’ queries and information goals. In Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM’08). ACM Press, New York, 449--458.
[25]
Druin, A., Foss, E., Hatley, L., Golub, E., Guha, M. L., Fails, J., and Hutchinson, H. 2009a. How children search the internet with keyword interfaces. In Proceedings of the 8th International Conference on Interaction Design and Children (IDC’09). ACM Press, New York, 89--96.
[26]
Druin, A., Foss, E., Hatley, L., Golub, E., Guha, M. L., Fails, J., and Hutchinson, H. 2009b. How children search the internet with keyword interfaces. In Proceedings of the 8th International Conference on Interaction Design and Children (IDC’09). ACM Press, New York, 89--96.
[27]
Druin, A., Foss, E., Hutchinson, H., Golub, E., and Hatley, L. 2010. Children’s roles using keyword search interfaces at home. In Proceedings of the 28th International Conference on Human Factors in Computing Systems (CHI’10). ACM Press, New York, 413--422.
[28]
Duarte Torres, S. and Weber, I. 2011. What and how children search on the web. In Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM’11). ACM Press, New York, 393--402.
[29]
Duarte Torres, S., Hiemstra, D., and Serdyukov, P. 2010. An analysis of queries intended to search information for children. In Proceedings of the 3rd Symposium on Information Interaction in Context (IIiX’10). ACM Press, New York, 235--244.
[30]
Duarte Torres, S., Hiemstra, D., Weber, I., and Serdyukov, P. 2012. Query recommendation for children. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM’12). ACM Press, New York, 2010--2014.
[31]
Eccles, J., Wigfield, A., Harold, R. D., and Blumenfeld, P. 1993. Age and gender differences in children’s self- and task perceptions during elementary school. Child Devel. 64, 3, 830--847.
[32]
Eccles, J. S., Jacobs, J. E., and Harold, R. D. 1990. Gender role stereotypes, expectancy effects, and parents’ socialization of gender differences. J. Soc. Issues 46, 2, 183--201.
[33]
Eickhoff, C., Serdyukov, P., and de Vries, A. P. 2010. Web page classification on child suitability. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM’10). ACM Press, New York, 1425--1428.
[34]
Fidel, R., Davies, R. K., Douglass, M. H., Holder, J. K., Hopkins, C. J., Kushner, E. J., Miyagishima, B. K., and Toney, C. D. 1999. A visit to the information mall: Web searching behavior of high school students. J. Amer. Soc. Inf. Sci. 50, 1, 24--37.
[35]
Goel, S., Hofman, J. M., and Sirer, M. I. 2012. Who does what on the web: A large-scale study of browsing behavior. In Proceedings of the 6th AAAI International Conference on Weblogs and Social Media (ICWSM’12).
[36]
Gossen, T., Low, T., and Nürnberger, A. 2011. What are the real differences of children’s and adults’ web search. In Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’11). ACM Press, New York, 1115--1116.
[37]
Gunn, H. and Hepburn, G. 2003. Seeking information for school purposes on the internet. Canadian J. Learn. Technol./La Revue Canadienne de Lapprentissage et de la Technologie 29, 1.
[38]
Gyllstrom, K. and Moens, M.-F. 2010. Wisdom of the ages: Toward delivering the children’s web with the link-based agerank algorithm. In Proceedings of the 191h ACM International Conference on Information and Knowledge Management (CIKM’10). ACM Press, New York, 159--168.
[39]
Hassan, A., Jones, R., and Klinkner, K. L. 2010. Beyond DCG: user behavior as a predictor of a successful search. In Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM’10). ACM Press, New York, 221--230.
[40]
Hellman, A. B. 2011. Vocabulary size and depth of word knowledge in adult-onset second language acquisition. Int. J. Appl. Linguist. 21, 2, 162--182.
[41]
Hiemstra, D., Hauff, C., de Jong, F., and Kraaij, W. 2007. Sigir’s 30th anniversary: An analysis of trends in ir research and the topology of its community. SIGIR Forum 41, 2, 18--24.
[42]
Huang, J., Lin, T., and White, R. W. 2012. No search result left behind: Branching behavior with browser tabs. In Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM’12). ACM Press, New York, 203--212.
[43]
Hchsttter, N. and Lewandowski, D. 2009. What users see structures in search engine results pages. Inf. Sci. 179, 12, 1796--1812.
[44]
Jansen, B., Bernard, M., Jansen, J., Spink, A., and Saracevic, T. 2000. Real life, real users, and real needs: A study and analysis of user queries on the web. Inf. Process. Manag. 36, 207--227.
[45]
Jansen, B. J. 2006. Search log analysis: What it is, what’s been done, how to do it. Library Inf. Sci. Res. 28, 3, 407--432.
[46]
Jochmann-Mannak, H., Huibers, T., Lentz, L., and Sanders, T. 2010. Children searching information on the internet: Performance on children’s interfaces compared to google. In Towards Accessible Search Systems, P. Serdyukov, D. Hiemstra, and I. Ruthven Eds., ACM Press, New York.
[47]
Jochmann-Mannak, H., Lentz, L., Huibers, T., and Sanders, T. 2012. Three types of children’s informational web sites: An inventory of design conventions. Tech. Comm. 59, 4, 302--323.
[48]
Jones, R. and Klinkner, K. L. 2008. Beyond the session timeout: Automatic hierarchical segmentation of search topics in query logs. In Proceedings of the 17th ACM International Conference on Information and Knowledge Management (CIKM’08). ACM Press, New York, 699--708.
[49]
Jones, R., Kumar, R., Pang, B., and Tomkins, A. 2007. “I know what you did last summer”: Query logs and user privacy. In Proceedings of the 16th ACM International Conference on Information and Knowledge Management (CIKM’07). ACM Press, New York, 909--914.
[50]
Kail, R. 2009. Children and their Development. Pearson Education.
[51]
Kammerer, Y. and Bohnacker, M. 2012. Children’s web search with google: The effectiveness of natural language queries. In Proceedings of the 11th International Conference on Interaction Design and Children (IDC’12). ACM Press, New York, 184--187.
[52]
Kuhlthau, C. C. 1991. Inside the search process: Information seeking from the user’s perspective. J. Amer. Soc. Inf. Sci. 42, 5, 361--371.
[53]
Kuhlthau, C. C. 1999. Accommodating the user’s information search process: Challenges for information retrieval system designers. Bull. Amer. Soc. Inf. Sci. Technol. 25, 3, 12--16.
[54]
Kumar, R. and Tomkins, A. 2010. A characterization of online browsing behavior. In Proceedings of the 19th International Conference on World Wide Web (WWW’10). ACM Press, New York, 561--570.
[55]
Livingstone, S., Haddon, L., Grzig, A., and Lafsson, K. 2011. EU kids online final report II. The London School of Economics and Political Science. http://www.children-go-online.net.
[56]
Madden, M., Lenhart, A., Duggan, M., Cortesi, S., and Gasser, U. 2013. Teens and Technology 2013. PEW Research Center, The Berkman Center for Internet and Society at Harvard University. http://www.pewinternet.org.
[57]
Moore, R. K. and Bosch, L. T. 2009. Modelling vocabulary growth from birth to young adulthood. In Proceedings of the 10th Annual Conference of the International Speech Communication Association (INTERSPEECH’09). Curran Associates, 1727--1730.
[58]
Nahl, D. and Harada, V. H. 1996. Composing boolean search statements: Self-confidence, concept analysis, search logic, and errors. School Library Media Quart. 24, 199--207.
[59]
Neuman, D. 1995. High school students’ use of databases: Results of a national delphi study. J. Amer. Soc. Inf. Sci. 46, 4, 284--298.
[60]
Ofcom. 2010. Uk children’s media literacy: Research document. http://stakeholders.ofcom.org.uk/market-data-research/media-literacy-pubs/.
[61]
Phan, N., Bailey, P., and Wilkinson, R. 2007. Understanding the relationship of information need specificity to search query length. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’07). ACM Press, New York, 709--710.
[62]
Richtel, M. 2011. Children fail to recognize online ads, study says. http://bits.blogs.nytimes.com/2011/04/21/children-fail-to-recognize-online-ads-study-says/?hpw.
[63]
Richtel, M. and Helft, M. 2011. Facebook users who are under age raise concerns. http://www.nytimes.com/2011/03/12/technology/internet/12underage.html.
[64]
Rieh, S. Y. and Xie, H. I. 2006. Analysis of multiple query reformulations on the web: The interactive information retrieval context. Inf. Process. Manag. 42, 3, 751--768.
[65]
Roul, R. K. and Sahay, S. 2012. An effective information retrieval for ambiguous query. Amer. J. Control Syst. Inf. Technol. 2, 3, 26--30.
[66]
Schacter, J., Chung, G. K., and Dorr, A. 1998. Children’s internet searching on complex problems: Performance and process analyses. J. Amer. Soc. Inf. Sci. 49, 9, 840--849.
[67]
Smith, P., Cowie, H., and Blades, M. 2011. Understanding Children’S Developments. Wiley.
[68]
Solomon, P. 1993. Children’s information retrieval behavior: A case analysis of an opac. J. Amer. Soc. Inf. Sci. 44, 5, 245--264.
[69]
Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., and Kappas, A. 2010. Sentiment in short strength detection informal text. J. Amer. Soc. Inf. Sci. Technol. 61, 2544--2558.
[70]
Tonzar, C., Lotto, L., and Job, R. 2009. L2 vocabulary acquisition in children: Effects of learning method and cognate status. Lang. Learn. 59, 3, 623--646.
[71]
Torres, S. D., Hiemstra, D., and Serdyukov, P. 2010. Query log analysis in the context of information retrieval for children. In Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’10). ACM Press, New York, 847--848.
[72]
Tyler, S. K. and Teevan, J. 2010. Large scale query log analysis of re-finding. In Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM’10). ACM Press, New York, 191--200.
[73]
van Dijk, E. M. A. G., van der Sluis, F., and Nijholt, A. 2012. Designing a museum multi-touch table for children. In Proceedings 4th International ICST Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN’11). A. Camurri and C. Costa Eds., Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 78, Springer, 139--148.
[74]
Vettori, C. and Mich, O. 2011. Supporting deaf children’s reading skills: The many challenges of text simplification. In Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’11). ACM Press, New York, 283--284.
[75]
Weber, I. and Castillo, C. 2010. The demographics of web search. In Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’10). ACM Press, New York, 523--530.
[76]
Weber, I. and Jaimes, A. 2011. Who uses web search for what: And how. In Proceedings of the 4th ACM International Conference on Web Search and Data Mining (WSDM’ll). ACM Press, New York, 15--24.
[77]
Weber, I., Ukkonen, A., and Gionis, A. 2012. Answers, not links: Extracting tips from yahoo! Answers to address how-to web queries. In Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM’12). ACM Press, New York, 613--622.

Cited By

View all
  • (2024)Children's search engines on the Internet: an analytical studyمحركات بحث الأطفال على الشبكة: دراسة تحليليةCybrarians Journal10.70000/cj.2024.71.586(34-56)Online publication date: 30-Apr-2024
  • (2024)How does Google get its information?: Children's judgements about Google searchBritish Journal of Developmental Psychology10.1111/bjdp.1248742:3(334-347)Online publication date: 18-Apr-2024
  • (2024)Children’s conversational voice search as learning: a literature reviewInformation and Learning Sciences10.1108/ILS-10-2023-0133Online publication date: 17-Jul-2024
  • Show More Cited By

Index Terms

  1. Analysis of Search and Browsing Behavior of Young Users on the Web

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Transactions on the Web
    ACM Transactions on the Web  Volume 8, Issue 2
    March 2014
    226 pages
    ISSN:1559-1131
    EISSN:1559-114X
    DOI:10.1145/2600093
    Issue’s Table of Contents
    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]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 March 2014
    Accepted: 01 November 2013
    Revised: 01 November 2013
    Received: 01 November 2012
    Published in TWEB Volume 8, Issue 2

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Children
    2. Web search
    3. Yahoo! Answers
    4. Yahoo! Search
    5. adults
    6. browsing behavior
    7. query logs
    8. search behavior
    9. session analysis
    10. toolbar logs
    11. topic classification
    12. young adults

    Qualifiers

    • Research-article
    • Research
    • Refereed

    Funding Sources

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)95
    • Downloads (Last 6 weeks)18
    Reflects downloads up to 17 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Children's search engines on the Internet: an analytical studyمحركات بحث الأطفال على الشبكة: دراسة تحليليةCybrarians Journal10.70000/cj.2024.71.586(34-56)Online publication date: 30-Apr-2024
    • (2024)How does Google get its information?: Children's judgements about Google searchBritish Journal of Developmental Psychology10.1111/bjdp.1248742:3(334-347)Online publication date: 18-Apr-2024
    • (2024)Children’s conversational voice search as learning: a literature reviewInformation and Learning Sciences10.1108/ILS-10-2023-0133Online publication date: 17-Jul-2024
    • (2024)Does conversation lead to better searches? Investigating single-shot and multi-turn spoken searches with childrenInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2024.10066841(100668)Online publication date: Sep-2024
    • (2023)Children's trust in image-based online information obtained on their own or relayed by an adultComputers in Human Behavior10.1016/j.chb.2022.107622141:COnline publication date: 1-Apr-2023
    • (2022)When the internet is wrong: Children’s trust in an inaccurate internet or human sourceBritish Journal of Developmental Psychology10.1111/bjdp.1240540:2(320-333)Online publication date: 18-Jan-2022
    • (2022)Supporting personal preferences and different levels of need in online help-seeking: a comparative study of help-seeking technologies for mental healthHuman–Computer Interaction10.1080/07370024.2022.207773339:5-6(288-309)Online publication date: 5-Aug-2022
    • (2022)A novel web ranking algorithm based on pages multi-attributeInternational Journal of Information Technology10.1007/s41870-021-00833-514:2(739-749)Online publication date: 21-Jan-2022
    • (2021)User Response Prediction in Online AdvertisingACM Computing Surveys10.1145/344666254:3(1-43)Online publication date: 8-May-2021
    • (2021)Learning to Rank for Educational Search EnginesIEEE Transactions on Learning Technologies10.1109/TLT.2021.307519614:2(211-225)Online publication date: 1-Apr-2021
    • Show More Cited By

    View Options

    Login options

    Full Access

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media