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

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.

[1]  Sharad Goel,et al.  Who Does What on the Web: A Large-Scale Study of Browsing Behavior , 2012, ICWSM.

[2]  Ingmar Weber,et al.  What and how children search on the web , 2011, CIKM '11.

[3]  L. Haddon,et al.  EU Kids Online: final report 2009 , 2009 .

[4]  Nicholas J. Belkin,et al.  Query length in interactive information retrieval , 2003, SIGIR.

[5]  Marie-Francine Moens,et al.  Wisdom of the ages: toward delivering the children's web with the link-based agerank algorithm , 2010, CIKM.

[6]  Jaime Teevan,et al.  Large scale query log analysis of re-finding , 2010, WSDM '10.

[7]  Ingmar Weber,et al.  Who uses web search for what: and how , 2011, WSDM '11.

[8]  Paul Solomon,et al.  Children's Information Retrieval Behavior: A Case Analysis of an OPAC , 1993, J. Am. Soc. Inf. Sci..

[9]  Jenny K. Holder,et al.  A visit to the information mall: Web searching behavior of high school students , 1999 .

[10]  Ryen W. White,et al.  No search result left behind: branching behavior with browser tabs , 2012, WSDM '12.

[11]  Amanda Spink,et al.  Real life, real users, and real needs: a study and analysis of user queries on the web , 2000, Inf. Process. Manag..

[12]  R. Job,et al.  L2 Vocabulary Acquisition in Children: Effects of Learning Method and Cognate Status , 2009 .

[13]  Ornella Mich,et al.  Supporting deaf children's reading skills: the many challenges of text simplification , 2011, ASSETS.

[14]  Ravi Kumar,et al.  A characterization of online browsing behavior , 2010, WWW '10.

[15]  BilalDania Children's use of the Yahooligans! Web search engine , 2001 .

[16]  J. Eccles,et al.  Age and gender differences in children's self- and task perceptions during elementary school. , 1993, Child development.

[17]  Tie-Yan Liu,et al.  Actively predicting diverse search intent from user browsing behaviors , 2010, WWW '10.

[18]  Djoerd Hiemstra,et al.  SIGIR's 30th anniversary: an analysis of trends in IR research and the topology of its community , 2007, SIGF.

[19]  Djoerd Hiemstra,et al.  Query log analysis in the context of information retrieval for children , 2010, SIGIR '10.

[20]  Leif Azzopardi,et al.  MaSe: create your own mash-up search interface , 2012, SIGIR '12.

[21]  Leif Azzopardi,et al.  YooSee: a video browsing application for young children , 2012, SIGIR '12.

[22]  Peter Bailey,et al.  Understanding the relationship of information need specificity to search query length , 2007, SIGIR.

[23]  Joseph B. Walther,et al.  The Value of Web Log Data in Use-Based Design and Testing , 2006, J. Comput. Mediat. Commun..

[24]  Holly Gunn,et al.  Seeking Information for School Purposes on the Internet , 2003 .

[25]  Arvid Kappas,et al.  Sentiment in short strength detection informal text , 2010, J. Assoc. Inf. Sci. Technol..

[26]  Elizabeth Foss,et al.  Children's roles using keyword search interfaces at home , 2010, CHI.

[27]  Ryen W. White,et al.  Personalizing web search results by reading level , 2011, CIKM '11.

[28]  Soo Young Rieh,et al.  Analysis of multiple query reformulations on the web: The interactive information retrieval context , 2006, Information Processing & Management.

[29]  Andrei Broder,et al.  A taxonomy of web search , 2002, SIGF.

[30]  Ahmed Hassan Awadallah,et al.  Beyond DCG: user behavior as a predictor of a successful search , 2010, WSDM '10.

[31]  Nick Craswell,et al.  An experimental comparison of click position-bias models , 2008, WSDM '08.

[32]  Kenneth Ward Church,et al.  How Many Multiword Expressions do People Know? , 2011, TSLP.

[33]  Roger K. Moore,et al.  Modelling vocabulary growth from birth to young adulthood , 2009, INTERSPEECH.

[34]  Doug Downey,et al.  Understanding the relationship between searchers' queries and information goals , 2008, CIKM '08.

[35]  Carol Collier Kuhlthau Inside the Search Process: Information Seeking from the User's Perspective. , 1991 .

[36]  HiemstraDjoerd,et al.  Analysis of Search and Browsing Behavior of Young Users on the Web , 2014 .

[37]  Rosie Jones,et al.  Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs , 2008, CIKM '08.

[38]  Kimberly A. Patton Teens and Technology , 2011 .

[39]  Ted Sanders,et al.  Three types of children’s informational web sites: an inventory of design conventions , 2012 .

[40]  Arjen P. de Vries,et al.  Web page classification on child suitability , 2010, CIKM.

[41]  Dania Bilal,et al.  Children's use of the Yahooligans! Web search engine: I. Cognitive, physical, and affective behaviors on fact-based search tasks , 2000, J. Am. Soc. Inf. Sci..

[42]  Dirk Lewandowski,et al.  What Users See - Structures in Search Engine Results Pages , 2009, Inf. Sci..

[43]  Ravi Kumar,et al.  "I know what you did last summer": query logs and user privacy , 2007, CIKM '07.

[44]  Theo Huibers,et al.  Children searching information on the Internet: Performance on children's interfaces compared to Google , 2010 .

[45]  Bernard J. Jansen,et al.  Search log analysis: What it is, what's been done, how to do it , 2006 .

[46]  Soontae An,et al.  Mitigating the Effects of Advergames on Children , 2011 .

[47]  Dania Bilal,et al.  Children's use of the Yahooligans! Web search engine. III. Cognitive and physical behaviors on fully self-generated search tasks , 2002, J. Assoc. Inf. Sci. Technol..

[48]  J. Eccles,et al.  Gender Role Stereotypes, Expectancy Effects, and Parents' Socialization of Gender Differences , 1990 .

[49]  G. Cecchin,et al.  Hypothesizing, circularity, and neutrality revisited: an invitation to curiosity. , 1987, Family process.

[50]  Marie-Francine Moens,et al.  EmSe: Supporting Children's Information Needs within a Hospital Environment , 2012, ECIR.

[51]  P. Solomon Children's information retrieval behavior: A case analysis of an OPAC , 1993 .

[52]  Andreas Nürnberger,et al.  What are the real differences of children's and adults' web search , 2011, SIGIR '11.

[53]  Elizabeth Foss,et al.  How children search the internet with keyword interfaces , 2009, IDC.

[54]  Elana Broch Children's Search Engines from an Information Search Process Perspective , 2000 .

[55]  Delia Neuman,et al.  High School Students' Use of Databases: Results of a National Delphi Study , 1995, J. Am. Soc. Inf. Sci..

[56]  Djoerd Hiemstra,et al.  Query recommendation for children , 2012, CIKM '12.

[57]  Marie-Francine Moens,et al.  Integer Linear Programming for Dutch Sentence Compression , 2010, CICLing.

[58]  Raya Fidel,et al.  A Visit to the Information Mall: Web Searching Behavior of High School Students , 1999, J. Am. Soc. Inf. Sci..

[59]  Jamshid Andrew Marni Beheshti,et al.  Transaction Logs and Search Patterns on a Children's Portal / Journaux de transaction et modes de recherche sur un portail web destiné aux enfants , 2010 .

[60]  Dania Bilal,et al.  Children's use of the Yahooligans! Web search engine: II. Cognitive and physical behaviors on research tasks , 2001, J. Assoc. Inf. Sci. Technol..

[61]  R. Kail Children and Their Development , 1997 .

[62]  Carol Collier Kuhlthau,et al.  Accommodating the User's Information Search Process: Challenges for Information Retrieval System Designers , 2005 .

[63]  Ingmar Weber,et al.  The demographics of web search , 2010, SIGIR.

[64]  Leanne Bowler,et al.  Primary school students, information literacy and the Web , 2001, Educ. Inf..

[65]  Christine L. Borgman,et al.  Children's Searching Behavior on Browsing and Keyword Online Catalogs: The Science Library Catalog Project , 1995, J. Am. Soc. Inf. Sci..

[66]  Diane Nahl,et al.  Composing Boolean Search Statements: Self-Confidence, Concept Analysis, Search Logic, and Errors. , 1996 .

[67]  Yvonne Kammerer,et al.  Children's web search with Google: the effectiveness of natural language queries , 2012, IDC '12.

[68]  Andrea B. Hellman,et al.  Vocabulary size and depth of word knowledge in adult‐onset second language acquisition , 2011 .

[69]  Djoerd Hiemstra,et al.  An analysis of queries intended to search information for children , 2010, IIiX.

[70]  Stefan Siersdorfer,et al.  Analyzing the Polarity of Opinionated Queries , 2012, ECIR.

[71]  Carol Collier Kuhlthau,et al.  Inside the search process: Information seeking from the user's perspective , 1991, J. Am. Soc. Inf. Sci..

[72]  Peter K. Smith,et al.  Understanding Children's Development , 1982 .

[73]  Gregory K. W. K. Chung,et al.  Children's Internet Searching on Complex Problems: Performance and Process Analyses , 1998, J. Am. Soc. Inf. Sci..

[74]  Rajendra Kumar Roul,et al.  An Effective Information Retrieval for Ambiguous Query , 2012, ArXiv.

[75]  Anton Nijholt,et al.  Designing a Museum Multi-touch Table for Children , 2011, INTETAIN.

[76]  Aristides Gionis,et al.  Answers, not links: extracting tips from yahoo! answers to address how-to web queries , 2012, WSDM '12.