Award Abstract # 1763649
CHS: Medium: CAST: Child Adaptive Search Tool

NSF Org: IIS
Division of Information & Intelligent Systems
Recipient: BOISE STATE UNIVERSITY
Initial Amendment Date: June 25, 2018
Latest Amendment Date: February 13, 2024
Award Number: 1763649
Award Instrument: Standard Grant
Program Manager: Dan Cosley
dcosley@nsf.gov
 (703)292-8832
IIS
 Division of Information & Intelligent Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: July 1, 2018
End Date: September 30, 2024 (Estimated)
Total Intended Award Amount: $1,199,604.00
Total Awarded Amount to Date: $1,199,604.00
Funds Obligated to Date: FY 2018 = $1,199,604.00
History of Investigator:
  • Jerry Fails (Principal Investigator)
    jerryfails@boisestate.edu
  • Maria Soledad Pera (Co-Principal Investigator)
  • Casey Kennington (Co-Principal Investigator)
Recipient Sponsored Research Office: Boise State University
1910 UNIVERSITY DR
BOISE
ID  US  83725-0001
(208)426-1574
Sponsor Congressional District: 02
Primary Place of Performance: Boise State University
ID  US  83725-1135
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): HYWTVM5HNFM3
Parent UEI: HYWTVM5HNFM3
NSF Program(s): HCC-Human-Centered Computing
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7367, 7924, 9102, 9150
Program Element Code(s): 736700
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

The goal of the project is to empower emergent searchers -- initially children ages 6-11 -- by researching, designing, and developing search tools that improve their information literacy and searching capabilities through modeling and adapting to their abilities as they search. Current search engines, even ones specifically designed for children, offer weak support for children's search needs due to their developing skills related to spelling, language use (including synonyms), understanding categories, refining queries, and evaluating relevance and quality of results. This makes it hard for children to create effective queries, use the results suggested by the search engine, and understand the relationship between the queries and the results returned. Bringing together expertise in human-computer interaction, information retrieval, natural language processing, and education, the project team will both (a) further scientific understanding of children's search abilities, and (b) design tools to support it through the iterative development of CAST (Child Adaptive Search Tool), designed for children aged 6-11. CAST will be designed to model and respond to users' literacy and maturity levels as well as search intent missing from their formal queries. For example, when a child submits the query "Tiger", CAST will tend to prioritize tiger habitat or Winnie the Pooh's friend Tigger, which likely correlate better to a child's search intent than information on Tiger Woods. To reach this goal, the team will collaborate with children and teachers throughout the course of the project, working with partners in several local schools to increase the impact of the application itself and to improve the dissemination of the results. The results on supporting search in the special population of children in this research also have the potential to inform similar problems and methods aimed at other populations who might have systematic differences in their search ability, from older adults to second language speakers.

The team will use two main lenses to guide the project work. The first is an educational research lens that grounds design activities in the known needs of children, for example, using spelling development research to create models of spelling correction that are tailored to this audience rather than general dictionary-based spelling correction algorithms. The second is a version of participatory design called cooperative inquiry that closely involves both children and teachers along with the research team throughout the design process, allowing the team to benefit from children's direct perceptions of their own needs and ideas for addressing them as well as the teachers' knowledge of children's needs when learning to search for information to support their own education. The work will proceed in three main phases. The first phase focuses on defining requirements and resources, through partnering with local public schools and collecting publicly available datasets of children's search behavior, vocabulary lists, popular websites for kids, and other resources that can inform models and algorithms tuned to children's search. The second phase involves designing and developing an initial version of CAST that includes methods to support query formulation, spelling, and navigating ontologies in order to help children better express their search needs, along with tools such as enhanced result snippets for evaluating the quality and relevance of results. The third phase will focus on evaluating both individual components and overall system quality; this includes using quantitative analysis of observable behaviors in the system such as queries, session lengths, and returned result quality as well as direct testing with children and teachers to evaluate their perceptions of the system's usability and their willingness to use it going forward. The team will use the evaluations to iteratively measure both individual components and the overall system, which will be deployed at a number of public libraries in the project team's home state for use by children outside of the research context.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 18)
Allen, Garrett and "BiGBERT: Classifying Educational Web Resources for Kindergarten-12 Grades" European Conference on Information Retrieval (ECIR) , 2021 https://doi.org/10.1007/978-3-030-72240-1_13 Citation Details
Allen, Garrett and "CASTing a Net: Supporting Teachers with Search Technology" KidRec '21: 5th International and Interdisciplinary Perspectives on Children \& Recommender and Information Retrieval Systems (KidRec) Search and Recommendation Technology through the Lens of a Teacher - Co-located with ACM IDC 2021 , 2021 Citation Details
Allen, Garrett and "Supercalifragilisticexpialidocious: Why Using the Right Readability Formula in Childrens Web Search Matters" 44th European Conference on Information Retrieval (ECIR) , 2022 https://doi.org/10.1007/978-3-030-99736-6_1 Citation Details
Allen, Garrett and Landau_Wright, Katherine and Fails, Jerry_Alan and Kennington, Casey and Pera, Maria_Soledad "Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom" , 2023 Citation Details
Allen, Garrett and Peterson, Benjamin L and Ratakonda, Dhanush kumar and Sakib, Mostofa Najmus and Fails, Jerry Alan and Kennington, Casey and Wright, Katherine Landau and Pera, Maria Soledad "Engage!: Co-designing Search Engine Result Pages to Foster Interactions" Interaction Design and Children , 2021 https://doi.org/10.1145/3459990.3465183 Citation Details
Ashlee Milton, Garrett Allen "Ashlee Milton, Garrett Allen, Maria Soledad Pera" IR for Children 2000-2020: Where Are We Now? (w/ ACM SIGIR) , 2021 https://doi.org/10.48550/arXiv.2106.07813 Citation Details
Bettencourt, Benjamin and Ahmed, Arif and Way, Nic and Kennington, Casey and Wright, Katherine Landau and Fails, Jerry Alan "Searching for Engagement: Child Engagement and Search Engine Result Pages" Interaction Design and Children , 2022 https://doi.org/10.1145/3501712.3535316 Citation Details
Bettencourt, Benjamin and Pera, Maria Soledad and Kennington, Casey and Wright, Katherine Landau and Fails, Jerry Alan "Kid Query: Co-designing an Application to Scaffold Query Formulation" , 2024 https://doi.org/10.1145/3628516.3659402 Citation Details
Brody Downs, Oghenemaro Anuyah "KidSpell: A Child-Oriented, Rule-Based, Phonetic Spellchecker" Proceedings of the 12th Language Resources and Evaluation Conference (LREC) , 2020 Citation Details
Downs, Brody and French, Tyler and Landau Wright, Katherine and Pera, Maria Soledad and Kennington, Casey and Fails, Jerry Alan "Children and search tools: Evaluation remains unclear" KidRec Workshop co-located with ACM IDC 2019 , 2019 Citation Details
Downs, Brody and French, Tyler and Pera, Maria Soledad and Wright, Katherine Landau and Kennington, Casey and Fails, Jerry Alan "Searching for spellcheckers: What kids want, what kids need" Proceedings of the 18th ACM International Conference on Interaction Design and Children , 2019 10.1145/3311927.3325328 Citation Details
(Showing: 1 - 10 of 18)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The key outcomes of this project were to improve adaptive and interactive search for children. The collaborative team integrated expertise in Human Computer Interaction (HCI), Information Retrieval (IR), Natural Language Processing (NLP), and Education (Ed). Children’s query logs and participatory design methods directed the development of a Child Adaptive Search Tool (CAST). The team accomplished its primary objectives of gathering information about emerging child searchers, collaboratively researching, designing and developing the CAST, and using online and offline testing to evaluate CAST and its components all while disseminating results to relevant conferences and journals. To address the common challenge of children misspelling queries, we developed a state-of-the-art spellchecker for children, KidSpell, that better caters to children’s particular misspellings. We also investigated several aspects of children’s search including: the suitability of results with regards to readability, educational value, and appropriateness; how gamified scaffolds can support children’s initial query formulation; and, how to best convey readability information in search engine result pages. In addition to the novel research, we have disseminated many products using a wide array of methods ranging from: the search web portal itself, a specific teacher portal, and curriculum-aligned lessons that leveraged the search tool; conference papers, journal articles, and workshop papers; and presenting directly to teachers.


Last Modified: 11/19/2024
Modified by: Jerry Fails

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