课题基金 / 基金详情

CHS: Medium: CAST: Child Adaptive Search Tool

CHS: Medium: CAST: Child Adaptive Search Tool
CHS:媒介:CAST:儿童自适应搜索工具
批准号:
1763649
负责人:
Jerry Fails
金额:
$119.96万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-01 至 2024-09-30

项目摘要

项目成果

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中文摘要
翻译
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.
英文摘要
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.
期刊论文(14)
专著(0)
科研奖励(0)
会议论文
Engage!: Co-designing Search Engine Result Pages to Foster Interactions
Engage!:共同设计搜索引擎结果页面以促进互动
DOI: 10.1145/3459990.3465183
发表时间: 2021
期刊: Interaction Design and Children
影响因子: --
作者: [Allen, Garrett, Peterson, Benjamin L, Ratakonda, Dhanush kumar, Sakib, Mostofa Najmus, Fails, Jerry Alan, Kennington, Casey, Wright, Katherine Landau, Pera, Maria Soledad]
通讯作者: Pera, Maria Soledad
CASTing a Net: Supporting Teachers with Search Technology
铸造网络:利用搜索技术支持教师
DOI: --
发表时间: 2021
期刊: KidRec '21: 5th International and Interdisciplinary Perspectives on Children \& Recommender and Information Retrieval Systems (KidRec
影响因子: --
作者: [Allen, Garrett and]
通讯作者: Allen, Garrett and
Supercalifragilisticexpialidocious: Why Using the “Right” Readability Formula in Children’s Web Search Matters
Supercalifragilisticexpialidocious:为什么在儿童网络搜索中使用“右”可读性公式很重要
DOI: 10.1007/978-3-030-99736-6_1
发表时间: 2022
期刊: 44th European Conference on Information Retrieval (ECIR
影响因子: --
作者: [Allen, Garrett and]
通讯作者: Allen, Garrett and
Spellchecking for Children in Web Search: a Natural Language Interface Case-study
儿童网络搜索中的拼写检查:自然语言界面案例研究
DOI: --
发表时间: 2021
期刊: Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing
影响因子: --
作者: [Kennington, Casey and]
通讯作者: Kennington, Casey and
共 14 条
    EAGER: DCL: SaTC: Enabling Interdisciplinary Collaboration: Evolutionary Insights into Digital Ecologies of Fear
    • 批准号:
      2210082
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2022
    • 负责人:
      Jerry Fails
    • 依托单位:
    WORKSHOP: Interaction Design and Children (IDC) 2020 Doctoral Consortium
    • 批准号:
      2025309
    • 项目类别:
      Standard Grant
    • 资助金额:
      $2.26万
    • 财政年份:
      2020
    • 负责人:
      Jerry Fails
    • 依托单位:
    WORKSHOP: Interaction Design and Children (IDC) 2019 Doctoral Consortium
    • 批准号:
      1923043
    • 项目类别:
      Standard Grant
    • 资助金额:
      $1.99万
    • 财政年份:
      2019
    • 负责人:
      Jerry Fails
    • 依托单位:
    海外基金