"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

doi:10.1145/3563359.3596992

"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

Web Information Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

25 Downloads (Pure)

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 language	English
Title of host publication	UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery (ACM)
Pages	305-310
Number of pages	6
ISBN (Electronic)	9781450398916
DOIs	https://doi.org/10.1145/3563359.3596992
Publication status	Published - 2023
Event	31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023 - Limassol, Cyprus Duration: 26 Jun 2023 → 30 Jun 2023

Publication series

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

Conference

Conference	31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023
Country/Territory	Cyprus
City	Limassol
Period	26/06/23 → 30/06/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

adaptation
children
user modeling
web search

Access to Document

10.1145/3563359.3596992

3563359.3596992Final published version, 835 KB

Cite this

Bettencourt, B., Manzi Muneza, A. R., Green, M., Anguiano, S., Fails, J. A., Kennington, C., Wright, K. L., & Pera, M. S. (2023). "Who are you?": Identifying Young Users from a Single Search Query. In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp. 305-310). (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery (ACM). https://doi.org/10.1145/3563359.3596992

Bettencourt, Benjamin ; Manzi Muneza, Assoumer Redempta ; Green, Michael et al. / "Who are you?" : Identifying Young Users from a Single Search Query. UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), 2023. pp. 305-310 (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization).

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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. ",

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Bettencourt, B, Manzi Muneza, AR, Green, M, Anguiano, S, Fails, JA, Kennington, C, Wright, KL & Pera, MS 2023, "Who are you?": Identifying Young Users from a Single Search Query. in UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery (ACM), pp. 305-310, 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023, Limassol, Cyprus, 26/06/23. https://doi.org/10.1145/3563359.3596992

"Who are you?": Identifying Young Users from a Single Search Query. / Bettencourt, Benjamin; Manzi Muneza, Assoumer Redempta; Green, Michael et al.
UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), 2023. p. 305-310 (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Anguiano, Samantha

AU - Fails, Jerry Alan

AU - Kennington, Casey

AU - Wright, Katherine Landau

AU - Pera, Maria Soledad

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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AB - 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.

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

PB - Association for Computing Machinery (ACM)

Y2 - 26 June 2023 through 30 June 2023

ER -

Bettencourt B, Manzi Muneza AR, Green M, Anguiano S, Fails JA, Kennington C et al. "Who are you?": Identifying Young Users from a Single Search Query. In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM). 2023. p. 305-310. (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization). doi: 10.1145/3563359.3596992

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

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Keywords

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