The algorithm and the user: How can hci use lay understandings of algorithmic systems?

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • Michael A. DeVito
  • Jeffrey T. Hancock
  • Megan French
  • Judd Antin
  • Karrie Karahalios
  • Stephanie Tong
  • Jeremy Birnholtz
  • Shklovski, Irina

In studying the increasing role that opaque, algorithmically-driven systems, such as social media feeds, play in society and people’s everyday lives, user folk theories are emerging as one powerful lens with which to examine the relationship between user and algorithmic system. Folk theories allow researchers to better see from users’ own perspectives how they understand these systems and how their understanding impacts their behavior. However, this approach is still new. Methods, interpretation, and future directions are up for debate. This panel will be an active discussion of the contribution of folk theories to HCI to date, how to advance a folk theory perspective, and how this perspective can bridge academic and industry study of these systems. Our panel gathers key folk theory HCI researchers from academia and industry to share their perspectives and engage the CHI audience.

Original languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems : Engage with CHI
PublisherAssociation for Computing Machinery
Publication date20 Apr 2018
Article numberpanel04
ISBN (Electronic)9781450356206, 9781450356213
DOIs
Publication statusPublished - 20 Apr 2018
Externally publishedYes
Event2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 - Montreal, Canada
Duration: 21 Apr 201826 Apr 2018

Conference

Conference2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018
LandCanada
ByMontreal
Periode21/04/201826/04/2018
SponsorACM SIGCHI
SeriesConference on Human Factors in Computing Systems - Proceedings
Volume2018-April

Bibliographical note

Publisher Copyright:
© 2018 Copyright is held by the owner/author(s).

    Research areas

  • Algorithm studies, Algorithms, Folk theories, Lay theories, User perception, User understanding

ID: 303706094