{"id":308708,"date":"2026-05-14T10:46:08","date_gmt":"2026-05-14T08:46:08","guid":{"rendered":"https:\/\/amuseapp.art\/museums-netflix-and-tiktok-how-to-design-a-visitor-experience-that-truly-captures-attention\/"},"modified":"2026-05-14T10:46:08","modified_gmt":"2026-05-14T08:46:08","slug":"museums-netflix-and-tiktok-how-to-design-a-visitor-experience-that-truly-captures-attention","status":"publish","type":"post","link":"https:\/\/amuseapp.art\/en\/museums-netflix-and-tiktok-how-to-design-a-visitor-experience-that-truly-captures-attention\/","title":{"rendered":"Museums, Netflix, and TikTok: How to Design a Visitor Experience That (Truly) Captures Attention"},"content":{"rendered":"

An analysis originating from the Salone del Restauro in Ferrara, May 12, 2026 \u2014 with the contribution of Dr. Luca Zamparo, Museologist, University of Padua.<\/em><\/p>\n

\n

There is a question that every cultural professional should ask themselves, and which is rarely formulated with such clarity:<\/p>\n

Why does a person spend two hours on Netflix without getting bored, while twenty minutes in a museum feels like an eternity?<\/strong><\/p>\n

The answer is not that people are less cultured. It is not that “social media is to blame.” It is not that Gen Z does not appreciate culture. It is a matter of design \u2014<\/strong> and data. <\/p>\n

Netflix solved the attention problem with the hook and obsessive behavioral measurement. TikTok did it with the algorithm. In museums, this is usually not yet discussed. And yet, that is where it all lies. <\/p>\n

The paradox of our time<\/em>: we consume more content than ever, yet museums still struggle<\/h2>\n

We are likely in a historical period where people dedicate a significant portion of their time to content consumption. The same people who take their children to a museum on Sunday morning watch Netflix until eleven at night. They are not different categories. They are the same people. <\/p>\n

The global numbers hold up: 33% of American adults visited a museum in 2024 (AAM); the Louvre welcomed 8.7 million visitors in 2023. But most visitors walk through the doors of a cultural site and leave without fully understanding what they have seen. <\/p>\n

Dwell time data speaks for itself: the Mona Lisa is viewed for an average of 15 seconds; works at the Metropolitan for an average of 27 seconds (Smith, Smith & Tinio, 2017). A 1938 study at Yale’s Peabody Museum documented that only 10.9% of exhibition labels were actually read<\/strong>. Sentomus 2024 (45,000 respondents, 200+ European museums) records a general satisfaction rate of 91%<\/strong> \u2014 but the most requested feature for the “museum of the future” is interactive and immersive experiences<\/strong>. Visitors understand what is missing even when they cannot name it. <\/p>\n

Museum fatigue<\/em>: an ancient problem that digital platforms solved first<\/h2>\n

In 1916, Benjamin Ives Gilman published the first scientific study on museum fatigue<\/em>: visitors arrive with energy and curiosity, but after a certain point, they stop looking and simply start walking. Not physically tired \u2014 cognitively<\/strong>. <\/p>\n

Netflix and TikTok solved the digital version of this same problem between 2015 and 2020. Except platforms use data, and museums still use the curator’s intuition. <\/p>\n

As Dr. Luca Zamparo stated at the 2026 Salone Internazionale del Restauro in Ferrara:<\/p>\n

“Fatigue in museums is something we all experience \u2014 physical, mental. These things have been studied, but even today the approach is too theoretical and not sufficiently linked to action.”<\/p><\/blockquote>\n

The 90-second rule<\/em>: Netflix measured it, museums ignore it<\/h2>\n

If a Netflix user does not find something to watch within 90 seconds<\/strong>, they leave the platform. Those 90 seconds transformed the design philosophy of the entire company. <\/p>\n

The museum has a similar window: 10-17 seconds<\/strong> to capture attention in front of a work. The Mona Lisa is viewed for an average of 15 seconds<\/strong>. <\/p>\n

Netflix built an entire division around those 90 seconds. Museums rarely design the first 3 minutes of the experience as a critical moment. <\/p>\n

Attraction Power<\/em> and Holding Power<\/em>: museums had the theory, not the practice<\/h2>\n
    \n
  • Attraction Power<\/strong>: the percentage of visitors who stop in front of a work<\/li>\n
  • Holding Power<\/strong>: the average time those who stop dedicate to the work<\/li>\n<\/ul>\n

    These have existed in literature since 1920. They are exactly the same metrics that Netflix calls click-through rate<\/em> and completion rate<\/em>, and TikTok calls view rate<\/em> and watch time<\/em>. Museums have had the theory for 100 years \u2014 almost no one measures it systematically in real time. <\/p>\n

    How Netflix<\/em> builds attention: three mechanisms<\/h2>\n

    1. The thumbnail \u2014 1.8 seconds to decide<\/strong>: Netflix generates different versions of the thumbnail for each profile. An A\/B test increases the click-through rate by 20%. The equivalent museum panel is almost never tested with real data. <\/p>\n

    2. The 2,000 taste clusters<\/strong>: Netflix has over 2,000 behavioral (not demographic) communities. For a museum, three onboarding questions are enough to know which cluster the visitor belongs to. <\/p>\n

    3. Behavior is more honest than statements<\/strong>: Netflix knows at which second users lose interest. A museum that asks “how did you find the visit?” almost always gets “very nice” \u2014 and learns nothing. <\/p>\n

    How TikTok<\/em> solves the cold start in 15 minutes<\/h2>\n

    TikTok builds a usable profile in 10-15 videos (~15 minutes). The cold start of a standard museum: the visitor enters, receives a map that is the same for everyone, and begins the tour without the museum knowing anything about them. <\/p>\n

    Three questions:<\/p>\n

      \n
    1. “are you here with children?”<\/li>\n
    2. “how much time do you have?”<\/li>\n
    3. “what interests you most?”<\/li>\n<\/ol>\n

      provide data equivalent to 15 minutes of TikTok.<\/p>\n

      The underlying psychology<\/h2>\n

      Variable reward schedule (Skinner)<\/strong>: unpredictability keeps the loop active. A museum path that ends each room with an open question creates anticipation instead of closure. <\/p>\n

      Zeigarnik Effect<\/strong>: the brain keeps incomplete activities open. Netflix uses cliffhangers (suspended endings that interrupt the narrative at a moment of tension, prompting the desire to know “how it ends”) and progress bars (the bar showing how much content remains, incentivizing the user to continue until the end). The standard museum path structures each work as self-contained. <\/p>\n

      Peak-end rule (Kahneman)<\/strong>: people remember the emotional peak and the end \u2014 not the duration. The standard museum path is designed chronologically, not to create a memorable finale. <\/p>\n

      Narrative transportation<\/em>: binge-watching applied to Rembrandt<\/h2>\n

      In the Metropolitan Museum of Art dataset, one visitor observed Rembrandt’s painting Aristotle with a Bust of Homer<\/em> for 3 minutes and 48 seconds<\/strong> \u2014 about triple the average time.<\/p>\n

      This is no coincidence. It is very likely that someone gave them a narrative key: not just “what you are looking at,” but who these people are, what they are experiencing, and why this moment matters<\/strong>. At that point, the painting stops being an object to observe and becomes a story to enter. <\/p>\n

      Here is the point: works of art, on their own, often do not hold attention for long. Stories do.<\/strong><\/p>\n

      The most effective guides do not just describe visual or technical details. They do something different: they transform the work into a living scene, populated by people, choices, and tensions. <\/p>\n

      Technology does not replace this human work. But it can do something very powerful: bring this type of narrative to every single visitor, in a scalable way.<\/strong> <\/p>\n

      The advantage that museums have and Netflix will never have<\/em><\/h2>\n

      When we talk about Netflix, we are talking about a lean back<\/strong><\/em> experience: you sit down, scroll, choose something, and let the content flow. Your role is primarily passive. The platform is designed to minimize effort<\/strong>: autoplay, continuous suggestions, ready-made content. It works very well, but it consumes attention. <\/p>\n

      The museum is the opposite: it is a lean forward<\/strong><\/em> experience. You cannot truly experience it while remaining passive. You must move through the space, decide where to stop, approach a work, change perspective, read, listen, and interpret. The body is involved, not just the eyes. And this changes everything. <\/p>\n

      According to research on “art immersion” (ScienceDirect, 2025), when art is consumed the right way \u2014 without information overload, but with the right level of engagement \u2014 it produces an attention restoration<\/strong> effect (attention restoration<\/em>).<\/p>\n

      In other words: instead of tiring you out, it recharges you. Instead of saturating you with stimuli, it restores clarity. <\/p>\n

      And this is where the structural advantage of museums lies: Netflix must constantly fight to retain your attention. The museum, if well-designed, can nourish<\/strong> it. <\/p>\n

      So the question is not “how do we compete with Netflix” \u2014 because they play on different levels.<\/p>\n

      The right question is:<\/p>\n

      how do we take what Netflix does best (narrative rhythm, engagement, continuous curiosity) and bring it into a physical experience that, unlike streaming, can be deep, memorable, and even restorative?<\/strong><\/p>\n

      The practical framework<\/strong>: three moments to redesign<\/em><\/h2>\n

      If you truly want to increase engagement, improving the “gallery path” is not enough. The visitor experience begins before entering and continues after leaving. These are three distinct moments \u2014 and each must be designed with intention. <\/p>\n

      1. Before the visit: create desire, not information<\/strong><\/p>\n

      Today, the first contact with a museum is not the official website, but platforms like TikTok and Instagram. Here, the logic of the “digital flyer” full of information does not work. A completely different logic applies: short, visual, immediate content that must capture attention in the first 2\u20133 seconds<\/strong>. <\/p>\n

      It is not about explaining everything, but about activating curiosity<\/strong>: an intriguing question, an unexpected detail, a fragment of a story left hanging.<\/p>\n

      The goal is not to inform. It is to spark a question in the potential visitor’s mind: <\/p>\n

      \u201cIs it worth going?\u201d \u2192 \u201cI want to go.\u201d<\/em><\/p>\n

      2. During the visit: transform the path into a sequence that keeps them hooked<\/strong><\/p>\n

      Once inside, the risk is that the experience becomes fragmented: every work is autonomous, every room is separate.<\/p>\n

      But it can be designed differently: think of the path as a narrative sequence<\/strong>, where each work is a sort of “episode” linked to the next.<\/p>\n

      The key question becomes: have we designed the moment when the visitor decides whether to continue\u2026 or stop paying attention?<\/strong><\/p>\n

      This means inserting micro-elements of continuity:<\/p>\n

        \n
      • open questions that find an answer in the next room<\/li>\n
      • details that only make sense further on<\/li>\n
      • small narrative “hooks” that create expectation<\/li>\n<\/ul>\n

        It is not a matter of adding content, but of giving rhythm to the experience<\/strong>.<\/p>\n

        As in a well-constructed series, the visitor must always have a reason to take one more step.<\/p>\n

        3. After the visit: design a finale that stays with them<\/strong><\/p>\n

        According to the peak-end rule<\/strong><\/em>, people primarily remember two moments: the emotional peak and the end. Yet, in most museums, the exit is left to chance: bookshop, corridor, end of the path. <\/p>\n

        Here, however, lies a huge opportunity. The exit can become the moment when the experience: <\/p>\n

          \n
        • is reassembled<\/strong> (giving meaning to what has been seen)<\/li>\n
        • is fixed in memory<\/strong> (with an emotional or symbolic element)<\/li>\n
        • is extended over time<\/strong> (an invitation to continue, share, or return)<\/li>\n<\/ul>\n

          In other words: it is not just “the end of the visit”: it is the point where the visitor decides what to take away \u2014 and whether that experience deserves to be remembered or shared.<\/p>\n

          What changes when you start measuring<\/h2>\n

          From active sites on amuseapp: 42% of visitors come from abroad (144 countries), the 25-54 age group accounts for 63%, and 58% are women.<\/p>\n

          The leap occurs when behavior is observed:<\/p>\n

            \n
          • completion rate<\/strong> of content (how many reach the end)<\/li>\n
          • drop-off<\/strong> (where attention is interrupted)<\/li>\n
          • active interactions<\/strong>, such as questions asked to the AI<\/li>\n<\/ul>\n

            This is where the most interesting signals emerge: not what the visitor says they did, but where they stop, what they ignore, and what holds them<\/strong>. As Marco Da Rin Zanco summarized during the conference “How to Design an Accessible and Engaging Visitor Experience in the Era of Netflix and TikTok” at the 2026 Salone Internazionale del Restauro: <\/p>\n

            “A questionnaire tells you what the visitor wants you to know. Behavior tells you what they actually do.”<\/em><\/p><\/blockquote>\n

            This is the point<\/strong>: without behavioral data, experiences are designed based on hypotheses. With data, you can start designing based on evidence. <\/p>\n

            To do this, however, you need systems capable of collecting and reading this data reliably and continuously<\/strong>: understanding which content works, where attention is lost, and which elements trigger curiosity.<\/p>\n

            amuseapp fits exactly here with a dual, very concrete role: it is not just a platform for creating and consuming cultural content and audioguides<\/strong>. It is also a tool that collects visitor behavior data<\/strong> during the visit and provides it back to cultural sites in a clear way. <\/p>\n

            In practice:<\/p>\n

              \n
            • while the visitor uses the content, the platform records what actually happens (listens, interruptions, interactions)<\/li>\n
            • this data is then organized into a simple and intuitive dashboard<\/strong><\/li>\n<\/ul>\n

              The result is that the museum can see, without complex interpretations:<\/p>\n

                \n
              • where attention drops<\/li>\n
              • what generates the most engagement<\/li>\n
              • and much more.<\/li>\n<\/ul>\n

                It is therefore not just a consumption tool, but a platform that allows for continuously understanding and improving the visitor experience, based on real data<\/strong>.<\/p>\n

                Conclusion<\/h2>\n

                In 1916, Gilman identified museum fatigue. In 2026, it is still there. Netflix solved it on the screen. TikTok on mobile. Museums waited 110 years for the tools. Now they have them. <\/p>\n

                The question is no longer whether technology can help. It is whether cultural institutions are willing to do the same thing Netflix did: stop asking “is this good content?”<\/em> and start asking “how do I know if it’s working \u2014 and for whom?”<\/em><\/strong>. <\/p>\n

                Museums are not in competition with other museums.<\/p>\n

                They are in competition with Netflix.<\/p>\n

                And they can win \u2014 because they have something Netflix will never have: a physical, present experience that puts cultural heritage and people at the center.<\/p>\n

                <\/p>\n","protected":false},"excerpt":{"rendered":"

                An analysis originating from the Salone del Restauro in Ferrara, May 12, 2026 \u2014 with the contribution of Dr. Luca Zamparo, Museologist, University of Padua. There is a question that every cultural professional should ask themselves, and which is rarely formulated with such clarity: Why does a person spend two hours on Netflix without getting […]<\/p>\n","protected":false},"author":7,"featured_media":308702,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[127],"tags":[],"class_list":["post-308708","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-strategy"],"yoast_head":"\nMuseums vs. Netflix and TikTok: The Visit That Captures Attention<\/title>\n<meta name=\"description\" content=\"Why does a person spend two hours on Netflix without getting bored, yet twenty minutes in a museum feels like an eternity? 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