Standard

Designing for the beter by taking users into account : A qalitative evaluation of user control mechanisms in (NEWS) recommender systems. / Harambam, Jaron; Makhortykh, Mykola; Bountouridis, Dimitrios; Van Hoboken, Joris.

RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery (ACM), 2019. p. 69-77.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Harambam, J, Makhortykh, M, Bountouridis, D & Van Hoboken, J 2019, Designing for the beter by taking users into account: A qalitative evaluation of user control mechanisms in (NEWS) recommender systems. in RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery (ACM), pp. 69-77, 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, 16/09/19. https://doi.org/10.1145/3298689.3347014

APA

Harambam, J., Makhortykh, M., Bountouridis, D., & Van Hoboken, J. (2019). Designing for the beter by taking users into account: A qalitative evaluation of user control mechanisms in (NEWS) recommender systems. In RecSys 2019 - 13th ACM Conference on Recommender Systems (pp. 69-77). Association for Computing Machinery (ACM). https://doi.org/10.1145/3298689.3347014

Vancouver

Harambam J, Makhortykh M, Bountouridis D, Van Hoboken J. Designing for the beter by taking users into account: A qalitative evaluation of user control mechanisms in (NEWS) recommender systems. In RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery (ACM). 2019. p. 69-77 https://doi.org/10.1145/3298689.3347014

Author

Harambam, Jaron ; Makhortykh, Mykola ; Bountouridis, Dimitrios ; Van Hoboken, Joris. / Designing for the beter by taking users into account : A qalitative evaluation of user control mechanisms in (NEWS) recommender systems. RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery (ACM), 2019. pp. 69-77

BibTeX

@inproceedings{7bfa910ccde9477ab1ab64e489beb774,
title = "Designing for the beter by taking users into account: A qalitative evaluation of user control mechanisms in (NEWS) recommender systems",
abstract = "Recommender systems (RS) are on the rise in many domains. While they ofer great promises, they also raise concerns: lack of transparency, reduction of diversity, little to no user control. In this paper, we align with the normative turn in computer science which scrutinizes the ethical and societal implications of RS. We focus and elaborate on the concept of user control because that mitigates multiple problems at once. Taking the news industry as our domain, we conducted four focus groups, or moderated think-aloud sessions, with Dutch news readers (N=21) to systematically study how people evaluate diferent control mechanisms (at the input, process, and output phase) in a News Recommender Prototype (NRP). While these mechanisms are sometimes met with distrust about the actual control they ofer, we found that an intelligible user profle (including reading history and fexible preferences settings), coupled with possibilities to infuence the recommendation algorithms is highly valued, especially when these control mechanisms can be operated in relation to achieving personal goals. By bringing (future) users' perspectives to the fore, this paper contributes to a richer understanding of why and how to design for user control in recommender systems.",
keywords = "Accuracy, Diversity, Ethics, Flter bubble, Qualitative research, Recommender systems, Self-actualization, Transparency, User centered design, User control, User study",
author = "Jaron Harambam and Mykola Makhortykh and Dimitrios Bountouridis and {Van Hoboken}, Joris",
year = "2019",
month = "9",
day = "10",
doi = "10.1145/3298689.3347014",
language = "English",
pages = "69--77",
booktitle = "RecSys 2019 - 13th ACM Conference on Recommender Systems",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",

}

RIS

TY - GEN

T1 - Designing for the beter by taking users into account

T2 - A qalitative evaluation of user control mechanisms in (NEWS) recommender systems

AU - Harambam, Jaron

AU - Makhortykh, Mykola

AU - Bountouridis, Dimitrios

AU - Van Hoboken, Joris

PY - 2019/9/10

Y1 - 2019/9/10

N2 - Recommender systems (RS) are on the rise in many domains. While they ofer great promises, they also raise concerns: lack of transparency, reduction of diversity, little to no user control. In this paper, we align with the normative turn in computer science which scrutinizes the ethical and societal implications of RS. We focus and elaborate on the concept of user control because that mitigates multiple problems at once. Taking the news industry as our domain, we conducted four focus groups, or moderated think-aloud sessions, with Dutch news readers (N=21) to systematically study how people evaluate diferent control mechanisms (at the input, process, and output phase) in a News Recommender Prototype (NRP). While these mechanisms are sometimes met with distrust about the actual control they ofer, we found that an intelligible user profle (including reading history and fexible preferences settings), coupled with possibilities to infuence the recommendation algorithms is highly valued, especially when these control mechanisms can be operated in relation to achieving personal goals. By bringing (future) users' perspectives to the fore, this paper contributes to a richer understanding of why and how to design for user control in recommender systems.

AB - Recommender systems (RS) are on the rise in many domains. While they ofer great promises, they also raise concerns: lack of transparency, reduction of diversity, little to no user control. In this paper, we align with the normative turn in computer science which scrutinizes the ethical and societal implications of RS. We focus and elaborate on the concept of user control because that mitigates multiple problems at once. Taking the news industry as our domain, we conducted four focus groups, or moderated think-aloud sessions, with Dutch news readers (N=21) to systematically study how people evaluate diferent control mechanisms (at the input, process, and output phase) in a News Recommender Prototype (NRP). While these mechanisms are sometimes met with distrust about the actual control they ofer, we found that an intelligible user profle (including reading history and fexible preferences settings), coupled with possibilities to infuence the recommendation algorithms is highly valued, especially when these control mechanisms can be operated in relation to achieving personal goals. By bringing (future) users' perspectives to the fore, this paper contributes to a richer understanding of why and how to design for user control in recommender systems.

KW - Accuracy

KW - Diversity

KW - Ethics

KW - Flter bubble

KW - Qualitative research

KW - Recommender systems

KW - Self-actualization

KW - Transparency

KW - User centered design

KW - User control

KW - User study

UR - http://www.scopus.com/inward/record.url?scp=85073359771&partnerID=8YFLogxK

U2 - 10.1145/3298689.3347014

DO - 10.1145/3298689.3347014

M3 - Conference contribution

SP - 69

EP - 77

BT - RecSys 2019 - 13th ACM Conference on Recommender Systems

PB - Association for Computing Machinery (ACM)

ER -

ID: 62482719