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

Standard

The algorithm and the user : How can hci use lay understandings of algorithmic systems? / DeVito, Michael A.; Hancock, Jeffrey T.; French, Megan; Antin, Judd; Karahalios, Karrie; Tong, Stephanie; Birnholtz, Jeremy; Shklovski, Irina.

CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, 2018. panel04 (Conference on Human Factors in Computing Systems - Proceedings, Vol. 2018-April).

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

Harvard

DeVito, MA, Hancock, JT, French, M, Antin, J, Karahalios, K, Tong, S, Birnholtz, J & Shklovski, I 2018, The algorithm and the user: How can hci use lay understandings of algorithmic systems? in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI., panel04, Association for Computing Machinery, Conference on Human Factors in Computing Systems - Proceedings, vol. 2018-April, 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018, Montreal, Canada, 21/04/2018. https://doi.org/10.1145/3170427.3186320

APA

DeVito, M. A., Hancock, J. T., French, M., Antin, J., Karahalios, K., Tong, S., Birnholtz, J., & Shklovski, I. (2018). The algorithm and the user: How can hci use lay understandings of algorithmic systems? In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI [panel04] Association for Computing Machinery. Conference on Human Factors in Computing Systems - Proceedings Vol. 2018-April https://doi.org/10.1145/3170427.3186320

Vancouver

DeVito MA, Hancock JT, French M, Antin J, Karahalios K, Tong S et al. The algorithm and the user: How can hci use lay understandings of algorithmic systems? In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery. 2018. panel04. (Conference on Human Factors in Computing Systems - Proceedings, Vol. 2018-April). https://doi.org/10.1145/3170427.3186320

Author

DeVito, Michael A. ; Hancock, Jeffrey T. ; French, Megan ; Antin, Judd ; Karahalios, Karrie ; Tong, Stephanie ; Birnholtz, Jeremy ; Shklovski, Irina. / The algorithm and the user : How can hci use lay understandings of algorithmic systems?. CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, 2018. (Conference on Human Factors in Computing Systems - Proceedings, Vol. 2018-April).

Bibtex

@inproceedings{ad3aa212b86940a8a7cba3edd446c1e0,
title = "The algorithm and the user: How can hci use lay understandings of algorithmic systems?",
abstract = "In studying the increasing role that opaque, algorithmically-driven systems, such as social media feeds, play in society and people{\textquoteright}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{\textquoteright} 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.",
keywords = "Algorithm studies, Algorithms, Folk theories, Lay theories, User perception, User understanding",
author = "DeVito, {Michael A.} and Hancock, {Jeffrey T.} and Megan French and Judd Antin and Karrie Karahalios and Stephanie Tong and Jeremy Birnholtz and Irina Shklovski",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright is held by the owner/author(s).; 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 ; Conference date: 21-04-2018 Through 26-04-2018",
year = "2018",
month = apr,
day = "20",
doi = "10.1145/3170427.3186320",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
booktitle = "CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems",
publisher = "Association for Computing Machinery",

}

RIS

TY - GEN

T1 - The algorithm and the user

T2 - 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018

AU - DeVito, Michael A.

AU - Hancock, Jeffrey T.

AU - French, Megan

AU - Antin, Judd

AU - Karahalios, Karrie

AU - Tong, Stephanie

AU - Birnholtz, Jeremy

AU - Shklovski, Irina

N1 - Publisher Copyright: © 2018 Copyright is held by the owner/author(s).

PY - 2018/4/20

Y1 - 2018/4/20

N2 - 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.

AB - 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.

KW - Algorithm studies

KW - Algorithms

KW - Folk theories

KW - Lay theories

KW - User perception

KW - User understanding

UR - http://www.scopus.com/inward/record.url?scp=85052022404&partnerID=8YFLogxK

U2 - 10.1145/3170427.3186320

DO - 10.1145/3170427.3186320

M3 - Article in proceedings

AN - SCOPUS:85052022404

T3 - Conference on Human Factors in Computing Systems - Proceedings

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

PB - Association for Computing Machinery

Y2 - 21 April 2018 through 26 April 2018

ER -

ID: 303706094