ITU

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

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Standard

The Algorithm and the User : How Can HCI Use Lay Understandings of Algorithmic Systems? / DeVito, Michael; Hancock, Jeffrey; French, Megan; Birnholtz, Jeremy; Antin, Judd; Karahalios, Karrie; Tong, Stephanie; Shklovski, Irina.

Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems . Association for Computing Machinery, 2018.

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Harvard

DeVito, M, Hancock, J, French, M, Birnholtz, J, Antin, J, Karahalios, K, Tong, S & Shklovski, I 2018, The Algorithm and the User: How Can HCI Use Lay Understandings of Algorithmic Systems? in Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems . Association for Computing Machinery. https://doi.org/10.1145/3170427.3186320

APA

DeVito, M., Hancock, J., French, M., Birnholtz, J., Antin, J., Karahalios, K., Tong, S., & Shklovski, I. (2018). The Algorithm and the User: How Can HCI Use Lay Understandings of Algorithmic Systems? In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems Association for Computing Machinery. https://doi.org/10.1145/3170427.3186320

Vancouver

DeVito M, Hancock J, French M, Birnholtz J, Antin J, Karahalios K et al. The Algorithm and the User: How Can HCI Use Lay Understandings of Algorithmic Systems? In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems . Association for Computing Machinery. 2018 https://doi.org/10.1145/3170427.3186320

Author

DeVito, Michael ; Hancock, Jeffrey ; French, Megan ; Birnholtz, Jeremy ; Antin, Judd ; Karahalios, Karrie ; Tong, Stephanie ; Shklovski, Irina. / The Algorithm and the User : How Can HCI Use Lay Understandings of Algorithmic Systems?. Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems . Association for Computing Machinery, 2018.

Bibtex

@inproceedings{bf9b604348e94b439265681f55e28d46,
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'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.",
author = "Michael DeVito and Jeffrey Hancock and Megan French and Jeremy Birnholtz and Judd Antin and Karrie Karahalios and Stephanie Tong and Irina Shklovski",
year = "2018",
doi = "10.1145/3170427.3186320",
language = "English",
booktitle = "Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems",
publisher = "Association for Computing Machinery",
address = "United States",

}

RIS

TY - GEN

T1 - The Algorithm and the User

T2 - How Can HCI Use Lay Understandings of Algorithmic Systems?

AU - DeVito, Michael

AU - Hancock, Jeffrey

AU - French, Megan

AU - Birnholtz, Jeremy

AU - Antin, Judd

AU - Karahalios, Karrie

AU - Tong, Stephanie

AU - Shklovski, Irina

PY - 2018

Y1 - 2018

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.

U2 - 10.1145/3170427.3186320

DO - 10.1145/3170427.3186320

M3 - Article in proceedings

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

PB - Association for Computing Machinery

ER -

ID: 83261687