"Who are you?": Identifying Young Users from a Single Search Query

Benjamin Bettencourt, Assoumer Redempta Manzi Muneza, Michael Green, Samantha Anguiano, Jerry Alan Fails, Casey Kennington, Katherine Landau Wright, Maria Soledad Pera

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

As an initial step towards enabling the adaptation of (popular, and widely used) web search environments so that they can better serve children and ease their path towards information discovery, we introduce Recognizing Young Searchers (RYSe). RYSe leverages lexical, syntactical, spelling/punctuation, and vocabulary features that align with the Concrete Operational stage of development (originally identified by Jean Piaget) in an attempt to identify users that are in this stage. The concrete operational stage is commonly associated with children ages 7-11. Findings emerging from our initial empirical exploration using single queries formulated by children and sample queries from adults showcase the feasibility of relying on different cognitive traits inferred from the short text of a single query to distinguish those that are formulated by younger searchers.

Original languageEnglish
Title of host publicationUMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
Pages305-310
Number of pages6
ISBN (Electronic)9781450398916
DOIs
StatePublished - 26 Jun 2023
Event31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023 - Limassol, Cyprus
Duration: 26 Jun 202330 Jun 2023

Publication series

NameUMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023
Country/TerritoryCyprus
CityLimassol
Period26/06/2330/06/23

Keywords

  • adaptation
  • children
  • user modeling
  • web search

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