Skip to search boxSkip to navigationSkip to main content

The Algorithm and the User: How Can HCI Use Lay Understandings of Algorithmic Systems?

  • Michael DeVito
    ,
  • Jeffrey Hancock
    ,
  • Megan French
    ,
  • Jeremy Birnholtz
    ,
  • Judd Antin
    ,
  • Karrie Karahalios
  • Northwestern University
    ,
  • Stanford University
    ,
  • Airbnb
    ,
  • University of Illinois
    ,
  • Wayne State University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1-6 (6 pages)

Publication milestones

  • Published - 2018

Publication status

Published - 2018

Publisher

Association for Computing Machinery, United States

ISBN (Electronic)

978-1-4503-5621-3

Publication IDs

  • Scopus: 85052022404

Host publication title

Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Abstract

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.

Publication metrics

PlumX, opens in new tab

Citations
33
Captures
48