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 proceeding › Article in proceedings › Research › peer-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 -