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Identifying Young Users from a Single Search Query

Conference paper (2023)

Authors

Benjamin Bettencourt Boise State University
Assoumer Redempta Manzi Muneza Boise State University
Michael Green Boise State University
Samantha Anguiano Boise State University
Jerry Alan Fails Boise State University
Casey Kennington Boise State University
Katherine Landau Wright Boise State University
M.S. Pera Web Information Systems - EEMCS
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2023 Benjamin Bettencourt, Assoumer Redempta Manzi Muneza, Michael Green, Samantha Anguiano, Jerry Alan Fails, Casey Kennington, Katherine Landau Wright, M.S. Pera
DOI
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https://doi.org/10.1145/3563359.3596992
Children User modeling Adaptation Web search
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Published Date

2023

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

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.

Files

3563359.3596992.pdf
(.pdf | 0.921 Mb)