Right way, right time: Towards a better comprehension of young students' needs when looking for relevant search results

Monica Landoni, Mohammad Aliannejadi, Theo Huibers, Emiliana Murgia, Maria Soledad Pera

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)

Abstract

We report on the exploration we conducted to understand better children's needs for the design of Search Engine Result Pages (SERP) that can help them notice relevant resources when performing online inquiry tasks in a classroom context. We analyse children's interactions with traditional and emoji-enriched SERP and look for trends linking children's engagement with SERP and search success (based on experts' assessments). We also identify areas remaining to be interpreted and considered in future studies. On this mixed ground, we discuss the complexity of this design space and the need to bypass the one-size-fits-all approach in favor of adaptive SERP to cater to children's different and ever-evolving skills in searching and recognising useful results if we aim to support learning.

Original languageEnglish
Title of host publicationUMAP 2021 - Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery (ACM)
Pages256-261
Number of pages6
ISBN (Electronic)9781450383660
DOIs
Publication statusPublished - 21 Jun 2021
Externally publishedYes
Event29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021 - Virtual, Online, Netherlands
Duration: 21 Jun 202025 Jun 2020

Conference

Conference29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021
Country/TerritoryNetherlands
CityVirtual, Online
Period21/06/2025/06/20

Keywords

  • Children
  • Classroom
  • Scaffolding
  • Search
  • Support
  • User modeling

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