If you have ever opened Netflix, Disney+, Prime Video, or another streaming app to relax, you probably know the feeling: you sit down to watch something, but 20 minutes later you are still scrolling.
That frustration is not just about having too many choices. It also comes from how the software is built.
According to Netflix’s Tech Blog on artwork personalization, the “main goal” of its personalized recommendation system is to get “the right titles” in front of members “at the right time.”
Netflix’s Help Center page on autoplay previews says previews can play automatically “to help you find your next show or movie.” These statements matter because they show streaming apps are not just neutral shelves. They are designed to highlight, rank, and promote options in ways that keep you engaged.
Recommendation systems help — and also create a new kind of frustration
This does not mean recommendation systems are useless. They solve one problem but create another.
In the open-access 2024 study User’s Dilemma: A Qualitative Study on the Influence of Netflix Recommender Systems on Choice Overload, Laura Romero Meza and Giulio D’Urso interviewed 12 Netflix users and found “a notable absence of explicit user feedback and the presence of choice overload.”
The study found that overload led to “prolonged search times,” “heightened choice effort,” “moderate satisfaction levels,” and a sense that recommended content could feel unattractive or not diverse enough. It also found a paradox: users had “high reliance and trust in recommendation lists,” but that same reliance often led to “frustration and disappointment” when the suggestions did not meet expectations.
Many people who use streaming apps know this feeling. The app feels personalized enough to keep your trust, but not satisfying enough to make choosing easy.
Too many options can turn entertainment into work
A second open-access paper, Navigating OTT Choice Overload: Cognitive, Behavioural, and Emotional Effects, explains why that feeling can be so exhausting.
The study says choice overload in OTT platforms leads to three main effects: cognitive effects like decision paralysis, behavioural effects such as avoidance and binge-watching to cope, and emotional effects that influence how satisfied people feel with their choices.
The study also describes behavior many viewers recognize: when faced with too many options, people often go back to familiar content or leave the platform without picking anything, and they may prefer re-watching old shows instead of trying something new.
This matters because the problem is not just having a lot to watch. Too many choices can make people less decisive, more likely to avoid decisions, and less satisfied. What starts as convenience can quickly become mental effort.
The interface is built to keep you moving
Streaming apps make this even harder with design choices meant to keep you watching.
In the open-access 2025 paper Designed to binge? Exploring user perceptions of interface features on video streaming platforms, Cynthia Dekker and Anna Tverdina write that “continued viewing is facilitated by algorithm-based personalized recommendations, autopreview … and autoplay.”
Their survey of 287 young adults found that people who liked binge-watching also found these features easy to use.
The paper also found that, for autoplay, people saw it as more useful when they felt less manipulated by it.
This is important because it shows that when a feature helps people keep watching with less effort, they see it as helpful, even if it leads to longer sessions than they planned. In short, engagement design often works because it feels convenient.
Autoplay is not a minor annoyance — it changes behavior
Experimental research makes this point even clearer. In the 2024 arXiv paper An Experimental Study of Netflix Use and the Effects of Autoplay on Watching Behaviors, Brennan Schaffner and colleagues studied 76 Netflix users in the United States and found that turning off autoplay “significantly reduced key content consumption aggregates, including average daily watching and average session length.”
The authors describe autoplay as an “attention capture feature” and connect it to the wider debate about “dark patterns,” or manipulative interface designs that can make people stay on platforms longer than they meant to.
This matters for the browsing problem because autoplay previews and next-episode autoplay are not just cosmetic.
They change how long people stay, how much they watch, and how much control they feel over their own viewing. Netflix does let users turn autoplay previews on or off, which is helpful. Still, the fact that this setting exists shows how powerful the feature is.
Why streaming discovery feels worse now than it used to
Part of the frustration comes from how streaming is set up.
The OTT choice-overload study describes platforms with huge catalogs covering many genres, countries, cultures, and languages. It also points out that just picking a platform can be hard.
The Netflix-focused User’s Dilemma paper adds that users can depend on recommendation lists but still feel “trapped in filter bubbles.” When you put these ideas together, the modern streaming problem is bigger than just a bad interface.
People are dealing with multiple apps, scattered catalogs, changing recommendations, and homepages that shift based on what they have watched before.
The result is a strange contradiction: streaming gives you access to almost everything, but it can still feel hard to find something you really want to watch.
Streaming apps are no longer just libraries
This is the bigger issue that many viewers feel, even if they do not say it out loud. Streaming apps promised instant entertainment, but their design often turns watching something simple into a search problem.
They are not just content libraries anymore; they are software products built to keep your attention and keep you watching.
Research shows how this works: recommendation lists can make people rely on them but also feel disappointed, choice overload can cause indecision and avoidance, and autoplay can make sessions longer.
So when people say they have “everything to watch but nothing to pick,” they are not imagining things. They are reacting to software that is built more to keep them browsing and scrolling than to help them decide quickly.
