Beyond Swipes and Scores: Investigating Practices, Challenges and User-Centered Values in Online Dating Algorithms

The reliability of online dating algorithms has sparked considerable debate, particularly regarding skepticism about their excessive emphasis on evaluating and getting evaluated, which often overshadows the quest for authentic romantic connections. To understand the multifaceted influence of dating algorithms on end-users and explore avenues for algorithmic features considering the dynamics of human relationships, we conducted a mixed-methods study comprising in-depth interviews (N = 22) and a metaphoric co-design workshop (N = 12) with active users of online dating platforms. Interviews revealed that users perceive and respond to algorithmic evaluations with varied perceptions and behaviors, often expressing concerns about the emotional burden of constant self-presentation and the pursuit of quantitative assessments over genuine connections. In the design workshop, users envisioned desired algorithmic features to overcome investigated challenges, such as prioritizing personal values, tailored matchmaking, and support for personal growth in relationships. This research contributes to unraveling the complex dynamics of human-algorithm interaction in the context of online dating. By aligning algorithmic functions more closely with user desires and relationship goals, this study paves the way for more meaningful and authentic connections in the digital dating landscape.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2024-11-07
DOI
https://doi.org/10.1145/3687025
Citations
1
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.78
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article

Beyond Swipes and Scores: Investigating Practices, Challenges and User-Centered Values in Online Dating Algorithms

Chowon Kang, Hwajung Hong, Yoonseo Choi, Yongjae Sohn et al.
1 citations
Proceedings of the ACM on Human-Computer Interaction
Recommender Systems and Techniques
0.78
article

Beyond Swipes and Scores: Investigating Practices, Challenges and User-Centered Values in Online Dating Algorithms

Chowon Kang, Hwajung Hong, Yoonseo Choi, Yongjae Sohn, Hyunseung Lim
article en
1 citations

Abstract

The reliability of online dating algorithms has sparked considerable debate, particularly regarding skepticism about their excessive emphasis on evaluating and getting evaluated, which often overshadows the quest for authentic romantic connections. To understand the multifaceted influence of dating algorithms on end-users and explore avenues for algorithmic features considering the dynamics of human relationships, we conducted a mixed-methods study comprising in-depth interviews (N = 22) and a metaphoric co-design workshop (N = 12) with active users of online dating platforms. Interviews revealed that users perceive and respond to algorithmic evaluations with varied perceptions and behaviors, often expressing concerns about the emotional burden of constant self-presentation and the pursuit of quantitative assessments over genuine connections. In the design workshop, users envisioned desired algorithmic features to overcome investigated challenges, such as prioritizing personal values, tailored matchmaking, and support for personal growth in relationships. This research contributes to unraveling the complex dynamics of human-algorithm interaction in the context of online dating. By aligning algorithmic functions more closely with user desires and relationship goals, this study paves the way for more meaningful and authentic connections in the digital dating landscape.

Proceedings of the ACM on Human-Computer InteractionVol. 8(CSCW2)
Korea Advanced Institute of Science and Technology (KR)
Openalex Percentile: Top 20%
Recommender Systems and Techniques
0.78
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Beyond Swipes and Scores: Investigating Practices, Challenges and User-Centered Values in Online Dating Algorithms — Chowon Kang, Hwajung Hong, et al. · Proceedings of the ACM on Human-Computer Interaction (2024) | TGRS Research Map | TGRS