An Experimental Study Of Netflix Use and the Effects of Autoplay on Watching Behaviors

Prior work on dark patterns, or manipulative online interfaces, suggests they have potentially detrimental effects on user autonomy. Dark pattern features, like those designed for attention capture, can potentially extend platform sessions beyond what users would have otherwise intended. Existing research, however, has not formally measured the quantitative effects of these features on user engagement in subscription video-on-demand platforms (SVODs). In this work, we conducted an experimental study with 76 Netflix users in the US to analyze the impact of a specific attention capture feature, autoplay, on key viewing metrics. We found that disabling autoplay on Netflix significantly reduced key content consumption aggregates, including average daily watching and average session length, partly filling the evidentiary gap regarding the empirical effects of dark pattern interfaces. We paired the experimental analysis with users' perceptions of autoplay and their viewing behaviors, finding that participants were split on whether the effects of autoplay outweigh its benefits, albeit without knowledge of the study findings. Our findings strengthen the broader argument that manipulative interface designs can and do affect users in potentially damaging ways, highlighting the continued need for considering user well-being and varied preferences in interface design.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-05-02
DOI
https://doi.org/10.1145/3710928
Citations
2
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
8.40
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article

An Experimental Study Of Netflix Use and the Effects of Autoplay on Watching Behaviors

Lan Gao, Marshini Chetty, Brennan Schaffner, Jiatong Li et al.
2 citations
Proceedings of the ACM on Human-Computer Interaction
Impact of Technology on Adolescents
8.40
article

An Experimental Study Of Netflix Use and the Effects of Autoplay on Watching Behaviors

Lan Gao, Marshini Chetty, Brennan Schaffner, Jiatong Li, Riya Sahni, Yaretzi Ulloa, Ava Kim Cohen, Natasha Messier
article en
2 citations

Abstract

Prior work on dark patterns, or manipulative online interfaces, suggests they have potentially detrimental effects on user autonomy. Dark pattern features, like those designed for attention capture, can potentially extend platform sessions beyond what users would have otherwise intended. Existing research, however, has not formally measured the quantitative effects of these features on user engagement in subscription video-on-demand platforms (SVODs). In this work, we conducted an experimental study with 76 Netflix users in the US to analyze the impact of a specific attention capture feature, autoplay, on key viewing metrics. We found that disabling autoplay on Netflix significantly reduced key content consumption aggregates, including average daily watching and average session length, partly filling the evidentiary gap regarding the empirical effects of dark pattern interfaces. We paired the experimental analysis with users' perceptions of autoplay and their viewing behaviors, finding that participants were split on whether the effects of autoplay outweigh its benefits, albeit without knowledge of the study findings. Our findings strengthen the broader argument that manipulative interface designs can and do affect users in potentially damaging ways, highlighting the continued need for considering user well-being and varied preferences in interface design.

Proceedings of the ACM on Human-Computer InteractionVol. 9(2)
University of Chicago (US)
Openalex Percentile: Top 3%
Impact of Technology on Adolescents
8.40
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