It is relevant, but is it useful?

A Reflection on Human-Centred Evaluation in Children Information Retrieval

Conference Paper (2026)
Author(s)

Hrishita Chakrabarti (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Diletta Micol Tobia (University of Lugano)

Garrett Allen (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Monica Landoni (University of Lugano)

Maria Soledad Pera (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Web Information Systems
DOI related publication
https://doi.org/10.1145/3774935.3806167 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Web Information Systems
Pages (from-to)
392-397
Publisher
ACM
ISBN (electronic)
9798400723117
Event
34th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2026 (2026-06-08 - 2026-06-11), Gothenburg, Sweden
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Abstract

The traditional Information Retrieval (IR) evaluation framework anchored in topical relevance and relevance-based metrics reflects a system-centred perspective. Yet for specific user groups, relevance alone is insufficient; benchmarking that relies exclusively on conventional metrics overlooks qualities intrinsic to the users IR approaches are meant to serve. Here, we draw attention to Children IR and examine the value of extending traditional evaluation with a human-centred perspective that accounts for how children interpret and evaluate information to more authentically capture performance and better reflect how well an approach truly meets children's needs. Our empirical exploration using a child-focused dataset, multiple ranking strategies, and traditional and extended frameworks reveals not only the limitations of relevance-based assessments but also the advantages of employing frameworks that are tailored to reflect the needs of child users, paving the way for more inclusive and effective evaluation frameworks.