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Query Formulation Assistance for Kids: What is Available, When to Help & What Kids Want

Published: 12 June 2019 Publication History

Abstract

Children use popular web search tools, which are generally designed for adult users. Because children have different developmental needs than adults, these tools may not always adequately support their search for information. Moreover, even though search tools offer support to help in query formulation, these too are aimed at adults and may hinder children rather than help them. This calls for the examination of existing technologies in this area, to better understand what remains to be done when it comes to facilitating query-formulation tasks for young users. In this paper, we investigate interaction elements of query formulation--including query suggestion algorithms--for children. The primary goals of our research efforts are to: (i) examine existing plug-ins and interfaces that explicitly aid children's query formulation; (ii) investigate children's interactions with suggestions offered by a general-purpose query suggestion strategy vs. a counterpart designed with children in mind; and (iii) identify, via participatory design sessions, their preferences when it comes to tools / strategies that can help children find information and guide them through the query formulation process. Our analysis shows that existing tools do not meet children's needs and expectations; the outcomes of our work can guide researchers and developers as they implement query formulation strategies for children.

References

[1]
Accessed: 2017-01-01. Yahoo Kids. https://www.kids.yahoo.com/.
[2]
Accessed: 2017-12-29. Bing. https://www.bing.com/?FORM=Z9FD1.
[3]
Accessed: 2017-12-29. Co:Writer Universal. https://cowriter.com/.
[4]
Accessed: 2017-12-29. Google. https://www.google.com/.
[5]
Accessed: 2017-12-29. Google Search Filter. https://chrome.google.com/webstore/detail/google-search-filter/peonfgnlcjhplcangdeldgmjpgekkjbj.
[6]
Accessed: 2017-12-29. International Children's Digital Library. http://en.childrenslibrary.org/.
[7]
Accessed: 2017-12-29. IXL. https://www.ixl.com/.
[8]
Accessed: 2017-12-29. Khan Academy. https://www.khanacademy.org/.
[9]
Accessed: 2017-12-29. Kid's Search Engine. http://www.kidssearch.com/.
[10]
Accessed: 2017-12-29. PBS Learning Media. https://www.pbslearningmedia.org/.
[11]
Accessed: 2017-12-29. Safe Search Kids. https://www.safesearchkids.com/.
[12]
Accessed: 2017-12-29. Search Manager. https://chrome.google.com/webstore/detail/search-manager/bahkljhhdeciiaodlkppoonappfnheoi/.
[13]
Accessed: 2018-01-10. Britannica Kids. https://kids.britannica.com/.
[14]
Accessed: 2018-01-10. Dog Pile. http://www.dogpile.com/.
[15]
Accessed: 2018-01-10. Fun Brain. https://www.funbrain.com/.
[16]
Oghenemaro Anuyah, Jerry Alan Fails, and Maria Soledad Pera. 2018. Investigating query formulation assistance for children. In Proceedings of the 17th ACM Conference on Interaction Design and Children. ACM, 581--586.
[17]
Anne Aula. 2003. Query Formulation in Web Information Search. In Proceedings of the IADIS International Conference WWW/Internet 2003. 403--410.
[18]
Ion Madrazo Azpiazu, Nevena Dragovic, Maria Soledad Pera, and Jerry Alan Fails. 2017. Online searching and learning: YUM and other search tools for children and teachers. Information Retrieval Journal 20, 5 (2017), 524--545.
[19]
Joran Beel and Bela Gipp. 2010. Enhancing Search Applications by Utilizing Mind Maps. In Proceedings of the 21st ACM Conference on Hypertext and Hypermedia. ACM, 303--304.
[20]
Michael Bell. Accessed: 2017-12-29. Infotopia. http://www.infotopia.info/index_saucers_dreaded_infotopia.html/.
[21]
Sumit Bhatia, Debapriyo Majumdar, and Prasenjit Mitra. 2011. Query suggestions in the absence of query logs. In Proceedings of the 34th international ACM SIGIR conference on Research and development in information retrieval. 795--804.
[22]
Dania Bilal. 2001. Children's use of the Yahooligans! Web search engine: II. Cognitive and physical behaviors on research tasks. Journal of the Association for Information Science and Technology 52, 2 (2001), 118--136.
[23]
Dania Bilal. 2002. Children's use of the Yahooligans! Web search engine. III. Cognitive and physical behaviors on fully self-generated search tasks. Journal of the Association for Information Science and Technology 53, 13 (2002), 1170--1183.
[24]
Dania Bilal and Meredith Boehm. 2017. Towards new methodologies for assessing relevance of information retrieval from web search engines on children's queries. Qualitative and Quantitative Methods in Libraries 2, 1 (2017), 93--100.
[25]
Andrei Broder. 2002. A taxonomy of web search. In ACM Sigir forum, Vol. 36. ACM, 3--10.
[26]
Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, and Hang Li. 2008. Context-aware query suggestion by mining click-through and session data. In Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 875--883.
[27]
Wanyu Chen, Fei Cai, Honghui Chen, and Maarten de Rijke. 2017. Personalized Query Suggestion Diversification. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 817--820.
[28]
Kevyn Collins-Thompson, Soo Young Rieh, Carl C Haynes, and Rohail Syed. 2016. Assessing learning outcomes in web search: A comparison of tasks and query strategies. In Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval. ACM, 163--172.
[29]
W Bruce Croft, Donald Metzler, and Trevor Strohman. 2010. Search engines: Information retrieval in practice. Vol. 283. Addison-Wesley Reading.
[30]
Van Dang and Bruce W Croft. 2010. Query reformulation using anchor text. In Proceedings of the third ACM international conference on Web search and data mining. ACM, 41--50.
[31]
Heng Ding, Shuo Zhang, Darío Garigliotti, and Krisztian Balog. 2018. Generating High-Quality Query Suggestion Candidates for Task-Based Search. In Proceedings of the European Conference on Information Retrieval. Springer, 625--631.
[32]
Dib Dab Doo and Dilly too. 2017-12-29. A smarter safer way to search the Internet. http://dibdabdoo.com/.
[33]
Allison Druin, Elizabeth Foss, Leshell Hatley, Evan Golub, Mona Leigh Guha, Jerry Fails, and Hilary Hutchinson. 2009. How children search the internet with keyword interfaces. In Proceedings of the 8th International conference on interaction design and children. ACM, 89--96.
[34]
Sergio Duarte Torres, Djoerd Hiemstra, and Pavel Serdyukov. 2010. An analysis of queries intended to search information for children. In Proceedings of the third symposium on Information interaction in context. ACM, 235--244.
[35]
Sergio Duarte Torres, Djoerd Hiemstra, Ingmar Weber, and Pavel Serdyukov. 2012. Query recommendation for children. In Proceedings of the 21st ACM international conference on Information and knowledge management. ACM, 2010--2014.
[36]
Carsten Eickhoff, Tamara Polajnar, Karl Gyllstrom, Sergio Duarte Torres, and Richard Glassey. 2011. Web search query assistance functionality for young audiences. In European Conference on Information Retrieval. Springer, 776--779.
[37]
Jerry Alan Fails, Mona Leigh Guha, Allison Druin, et al. 2013. Methods and techniques for involving children in the design of new technology for children. Foundations and Trends® in Human--Computer Interaction 6, 2 (2013), 85--166.
[38]
Elizabeth Foss, Allison Druin, Robin Brewer, Phillip Lo, Luis Sanchez, Evan Golub, and Hilary Hutchinson. 2012. Children's search roles at home: Implications for designers, researchers, educators, and parents. Journal of the Association for Information Science and Technology 63, 3 (2012), 558--573.
[39]
Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Kam-Fai Wong, and Hsiao-Wuen Hon. 2010. Exploiting query logs for cross-lingual query suggestions. ACM Transactions on Information Systems (TOIS) 28, 2 (2010), 6.
[40]
Tatiana Gossen. 2016. Search engines for children: search user interfaces and information-seeking behaviour. Springer.
[41]
Tatiana Gossen, Michael Kotzyba, and Andreas Nürnberger. 2015. Knowledge journey exhibit: Towards age-adaptive search user interfaces. In European Conference on Information Retrieval. Springer, 781--784.
[42]
Tatiana Gossen, Thomas Low, and Andreas Nurnberger. 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. ACM, 1115--1116.
[43]
Tatiana Gossen and Andreas Nurnberger. 2013. Specifics of information retrieval for young users: A survey. Information Processing & Management 49, 4 (2013), 739--756.
[44]
Mona Leigh Guha, Allison Druin, Gene Chipman, Jerry Alan Fails, Sante Simms, and Allison Farber. 2004. Mixing ideas: a new technique for working with young children as design partners. In Proceedings of the 2004 conference on Interaction design and children: building a community. ACM, 35--42.
[45]
Mona Leigh Guha, Allison Druin, and Jerry Alan Fails. 2013. Cooperative Inquiry revisited: Reflections of the past and guidelines for the future of intergenerational co-design. International Journal of Child-Computer Interaction (2013), 14--23.
[46]
Christoph Hölscher and Gerhard Strube. 2000. Web search behavior of Internet experts and newbies. Computer networks 33, 1 (2000), 337--346.
[47]
Bernard J Jansen, Danielle L Booth, and Amanda Spink. 2008. Determining the informational, navigational, and transactional intent of Web queries. Information Processing & Management 44, 3 (2008), 1251--1266.
[48]
Diane Kelly, Karl Gyllstrom, and Earl W Bailey. 2009. A comparison of query and term suggestion features for interactive searching. In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval. ACM, 371--378.
[49]
Kiddle. Accessed: 2017-12-29. Safe Visual Search Engine for Kids. https://www.kiddle.co/.
[50]
Kidrex. 2017-12-29. Safe Search for kids. http://www.KidRex.org.
[51]
Cybersleuth Kids. Accessed: 2017-12-29. A comprehensive educational search engine, directory and homework helper for the K-12 student. http://cybersleuth-kids.com/.
[52]
KidzSearch. 2017. Web Search Engine for Kids. http://www.kidzsearch.com.
[53]
Jaewon Kim, Paul Thomas, Ramesh Sankaranarayana, Tom Gedeon, and Hwan-Jin Yoon. 2016. Pagination versus scrolling in mobile web search. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. ACM, 751--760.
[54]
Dorling Kindersley. Accessed: 2017-12-29. DK find out! https://www.dkfindout.com/.
[55]
Simon Knight. 2014. Finding knowledge--what is it to know when we search? Institute of Network Cultures.
[56]
Udo Kruschwitz, Deirdre Lungley, M-Dyaa Albakour, Dawei Song, et al. 2013. Deriving query suggestions for site search. Journal of the Association for Information Science and Technology 64, 10 (2013), 1975--1994.
[57]
Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, and ChengXiang Zhai. 2014. A two-dimensional click model for query auto-completion. In Proceedings of the 37th international ACM SIGIR conference on Research and development in information retrieval. 455--464.
[58]
Honray Lin and Haakon Faste. 2011. Digital mind mapping: innovations for real-time collaborative thinking. In CHI'11 Extended Abstracts on Human Factors in Computing Systems. ACM, 2137--2142.
[59]
Ion Madrazo Azpiazu, Nevena Dragovic, Oghenemaro Anuyah, and Maria Soledad Pera. 2018. Looking for the Movie Seven or Sven from the Movie Frozen?: A Multi-perspective Strategy for Recommending Queries for Children. In Proceedings of the 2018 Conference on Human Information Interaction & Retrieval. ACM, 92--101.
[60]
Dulcinea Media. Accessed: 2017-12-29. Sweet Search. http://www.sweetsearch.com/.
[61]
John F Pane and Brad A Myers. 2000. Improving user performance on boolean queries. In CHI'00 Extended Abstracts on Human Factors in Computing Systems. ACM, 269--270.
[62]
Soo Young Rieh, Kevyn Collins-Thompson, Preben Hansen, and Hye-Jung Lee. 2016. Towards searching as a learning process: A review of current perspectives and future directions. Journal of Information Science 42, 1 (2016), 19--34.
[63]
Ian Rowlands, David Nicholas, Peter Williams, Paul Huntington, Maggie Field-house, Barrie Gunter, Richard Withey, Hamid R Jamali, Tom Dobrowolski, and Carol Tenopir. 2008. The Google generation: the information behaviour of the researcher of the future. In Aslib proceedings, Vol. 60. Emerald Group Publishing Limited, 290--310.
[64]
Inc Sandbox Networks. Accessed: 2017-12-29. Fact Monster. https://www.factmonster.com/.
[65]
Meher T Shaikh, Maria Soledad Pera, and Yiu-Kai Ng. 2015. Suggesting Simple and Comprehensive Queries to Elementary-Grade Children. In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, 252--259.
[66]
Ron Thomas Shirley Sydenham. Accessed: 2017-12-29. Kidcyber. http://www.kidcyber.com.au/.
[67]
Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, and Jian-Yun Nie. 2015. A hierarchical recurrent encoder-decoder for generative context-aware query suggestion. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. ACM, 553--562.
[68]
Statista. 2018 (accessed January 3, 2018). Worldwide desktop market share of leading search engines from January 2010 to October 2017. https://www.statista.com/statistics/216573/worldwide-market-share-of-search-engines/
[69]
Sergio Duarte Torres, Djoerd Hiemstra, Ingmar Weber, and Pavel Serdyukov. 2014. Query recommendation in the information domain of children. Journal of the Association for Information Science and Technology 65, 7 (2014), 1368--1384.
[70]
Drexel University. Accessed: 2017-12-29. IPL2. http://www.ipl.org/.
[71]
Nicholas Vanderschantz and Annika Hinze. 2017. A study of children's search query formulation habits. In Proceedings of the 31st British Computer Society Human Computer Interaction Conference. BCS Learning & Development Ltd., 7.
[72]
I Bahattin Vidinli and Rifat Ozcan. 2016. New query suggestion framework and algorithms: A case study for an educational search engine. Information processing & management 52, 5 (2016), 733--752.
[73]
Alicia Wood and Yiu-Kai Ng. 2016. Orthogonal query recommendations for children. In Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services. ACM, 298--302.
[74]
Liang Wu, Bin Cao, Yuanchun Zhou, and Jianhui Li. 2014. Improving query suggestion through noise filtering and query length prediction. In Proceedings of the 23rd International Conference on World Wide Web. ACM, 399--400.
[75]
Jason C Yip, Kiley Sobel, Caroline Pitt, Kung Jin Lee, Sijin Chen, Kari Nasu, and Laura R Pina. 2017. Examining adult-child interactions in intergenerational participatory design. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 5742--5754.

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  • (2024)Kid Query: Co-designing an Application to Scaffold Query FormulationProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3659402(828-833)Online publication date: 17-Jun-2024
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      cover image ACM Conferences
      IDC '19: Proceedings of the 18th ACM International Conference on Interaction Design and Children
      June 2019
      787 pages
      ISBN:9781450366908
      DOI:10.1145/3311927
      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 the author(s) 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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      Published: 12 June 2019

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      Author Tags

      1. Query formulation
      2. children
      3. participatory design
      4. query suggestions

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      IDC '19: Interaction Design and Children
      June 12 - 15, 2019
      ID, Boise, USA

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      IDC '19 Paper Acceptance Rate 41 of 124 submissions, 33%;
      Overall Acceptance Rate 172 of 578 submissions, 30%

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      • (2024)Kid Query: Co-designing an Application to Scaffold Query FormulationProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3659402(828-833)Online publication date: 17-Jun-2024
      • (2024)Good for Children, Good for All?Advances in Information Retrieval10.1007/978-3-031-56066-8_24(302-313)Online publication date: 15-Mar-2024
      • (2023)Robot-Supported Information SearchCompanion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3568294.3580128(466-470)Online publication date: 13-Mar-2023
      • (2023)Children on ChatGPT Readability in an Educational Context: Myth or Opportunity?Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization10.1145/3563359.3596996(311-316)Online publication date: 26-Jun-2023
      • (2023)“Who are you?”: Identifying Young Users from a Single Search QueryAdjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization10.1145/3563359.3596992(305-310)Online publication date: 26-Jun-2023
      • (2023)A Reproducibility Study of Question Retrieval for Clarifying QuestionsAdvances in Information Retrieval10.1007/978-3-031-28241-6_3(35-50)Online publication date: 16-Mar-2023
      • (2022)Child–Computer InteractionInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2021.10039832:COnline publication date: 1-Jun-2022
      • (2022)KidSpellInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2021.10037332:COnline publication date: 1-Jun-2022
      • (2022)Theoretical Applications in Children and Youth Information Behavior Research: 1999–2019Proceedings of the Association for Information Science and Technology10.1002/pra2.60059:1(11-22)Online publication date: 14-Oct-2022
      • (2021)Right Way, Right Time: Towards a Better Comprehension of Young Students’ Needs when Looking for Relevant Search ResultsProceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450613.3456843(256-261)Online publication date: 21-Jun-2021
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