4thKidRec workshop-"what does good look like?": From design, research, and practice to policy

Monica Landoni, Jerry Alan Fails, Theo Huibers, Natalia Kucirkova, Emiliana Murgia, Maria Soledad Pera

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

4 Citations (Scopus)

Abstract

Data about people are constantly collected and stored to help understand patterns which can then be leveraged by information retrieval systems (IRS), such as search engines or recommender systems, to identify and rank resources that respond to diverse users' needs. As a significant group of technology users, children's data are also collected for IRS. In the 4th edition of our proposed workshop, we seek to continue to build professional community connected to children's IRS and expand on the framework identified in the 3rd KidRec that outlines how to evaluate good IRS. This time, we are particularly interested in exploring how design, research, and practice perspectives can cohesively define policy in this area.

Original languageEnglish
Title of host publicationExtended Abstracts - Proceedings of the 2020 ACM Interaction Design and Children Conference, IDC 2020
PublisherAssociation for Computing Machinery (ACM)
Pages103-110
Number of pages8
ISBN (Electronic)9781450380201
DOIs
Publication statusPublished - 21 Jun 2020
Externally publishedYes
Event2020 ACM Interaction Design and Children Conference, IDC 2020 - Virtual, Online, United Kingdom
Duration: 17 Jun 202024 Jun 2020

Conference

Conference2020 ACM Interaction Design and Children Conference, IDC 2020
Country/TerritoryUnited Kingdom
CityVirtual, Online
Period17/06/2024/06/20

Keywords

  • children
  • ethics
  • evaluation
  • information retrieval

Fingerprint

Dive into the research topics of '4thKidRec workshop-"what does good look like?": From design, research, and practice to policy'. Together they form a unique fingerprint.

Cite this