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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 Research
    ,
  • University of Illinois at Chicago
    ,
  • Wayne State University
Publikation:
Konference artikel i Proceeding eller bog/rapport kapitel
Konferencebidrag i proceedings
Peer-review

Open Access

Publikation information

Produktionstype

Publikation:
Konference artikel i Proceeding eller bog/rapport kapitel
Konferencebidrag i proceedings
Peer-review

Originalsprog

Engelsk

Sider fra-til (Antal sider)

Sider 1-6 (6 sider)

Publikationsmilepæle

  • Udgivet - 2018

Publikationsstatus

Udgivet - 2018

Forlag

Association for Computing Machinery, USA

ISBN (Elektronisk)

978-1-4503-5621-3

Publication IDs

  • Scopus: 85052022404

Titel på værtspublikation

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

Resume

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.

Metrikker

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Citationer
32
Hentninger
49