{"id":708892,"date":"2026-06-29T09:54:45","date_gmt":"2026-06-29T13:54:45","guid":{"rendered":"https:\/\/www.rochester.edu\/newscenter\/?p=708892"},"modified":"2026-08-27T15:53:06","modified_gmt":"2026-08-27T19:53:06","slug":"how-human-vision-works-brain-processing-virtual-augmented-reality-708892","status":"publish","type":"post","link":"https:\/\/www.rochester.edu\/newscenter\/how-human-vision-works-brain-processing-virtual-augmented-reality-708892\/","title":{"rendered":"The biggest misconception about vision? That you see reality"},"content":{"rendered":"<div class=\"wp-embed\">\n<div class=\"wp-embed-wrap\"><iframe loading=\"lazy\" title=\"How Will AR\/VR Change The World?\" width=\"1062\" height=\"597\" src=\"https:\/\/www.youtube.com\/embed\/zbkIN4nAHkA?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Human vision isn\u2019t a direct recording of the world. That\u2019s why virtual and augmented reality still struggle to replicate it.<\/p>\n","protected":false},"author":912,"featured_media":709092,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[116],"tags":[43042,18672,6096,41792,18632,18652,34522,16072,41012],"class_list":["post-708892","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sci-tech","tag-center-for-extended-reality","tag-department-of-brain-and-cognitive-sciences","tag-duje-tadin","tag-ever-wonder","tag-hajim-school-of-engineering-and-applied-sciences","tag-institute-of-optics","tag-michele-rucci","tag-school-of-arts-and-sciences","tag-videos"],"acf":{"external":"","hide_featured_image":true,"related":"show_related","style":[599212,682222,678512],"content_modules":[{"acf_fc_layout":"text","anchor":"","css_class":"pt-0","title":"<h2><strong>Human vision isn\u2019t a direct recording of the world. That\u2019s why virtual and augmented reality still struggle to replicate it.<\/strong><\/h2>","content":"You think you\u2019re seeing reality. You\u2019re not.\r\n\r\nIn a famous experiment, participants are asked to watch a video and count basketball passes between players. Focused on that task, many participants never notice a person in a gorilla suit walking directly through the scene.\r\n\r\nThe <a href=\"https:\/\/journals.sagepub.com\/doi\/10.1111\/1467-9280.00303\">invisible gorilla experiment<\/a> reveals something surprising: Human vision is not a continuous recording of the world. What we experience as reality is actually the brain\u2019s best interpretation of it.\r\n\r\nMost of the time, we never notice this process. But technologies such as virtual and augmented reality (AR and VR) are revealing just how much work the visual system performs behind the scenes. Even the most advanced headsets can create environments that look remarkably lifelike yet can still feel slightly off or even downright uncanny.\r\n\r\nThis gap is not just a technical limitation. It reflects something deeper about how human vision works.\r\n\r\nAt the <a href=\"http:\/\/www.rochester.edu\/\">糖心传媒<\/a>, researchers\u2014including Michele Rucci, Duje Tadin, and Barry Silverstein\u2014are studying this process from three connected angles: how the eyes actively sample the world, how the brain filters and constructs meaning from that input, and how technology tries to reproduce the experience in AR and VR systems.\r\n\r\nTheir work reveals that what we experience as reality emerges from a complex interaction between our eyes, our brain, and the machines we build to imitate both.","background_color":"#ffffff","width":"width-medium"},{"acf_fc_layout":"text","anchor":"","css_class":"pt-0","title":"","content":"<h3><strong>Misconception #1: Your eyes record reality.<\/strong><\/h3>\r\n[caption id=\"attachment_709002\" align=\"aligncenter\" width=\"2000\"]<img class=\"size-full wp-image-709002\" src=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2026\/06\/fea-how-human-vision-works-brain-processing-virtual-augmented-reality-2024-08-13_Rucci_Meta_project_0499.jpg\" alt=\"Participant wearing a helmet, motion-capture markers, and scleral eye coils to record eye and body movements to study how human vision works. \" width=\"2000\" height=\"1200\" \/> <strong>EYES ON THE PRIZE:<\/strong> In Rucci's lab, participants wear motion-capture markers and specialized eye-tracking equipment while performing everyday tasks. The measurements allow researchers to reconstruct the constantly changing visual information that reaches the brain. (URochester photo \/ J. Adam Fenster)[\/caption]\r\n\r\n\u201cThe eye and a camera are similar in one narrow sense: Both acquire visual information. But the similarity quickly breaks down,\u201d says <a href=\"https:\/\/sas.rochester.edu\/bcs\/people\/faculty\/rucci_michele\/index.html\">Michele Rucci<\/a>, a professor in the <a href=\"https:\/\/sas.rochester.edu\/bcs\/\">Department of Brain and Cognitive Sciences<\/a>.\r\n\r\nWhile a camera is designed to record an image, the visual system is designed to gather the information we need to move through the world and respond to it.\r\n\r\nIn fact, Rucci says, if the eye functioned like a camera, it would be a surprisingly bad one. The optic nerve, which connects the eyes and the brain, contains only about one million fibers that transmit visual information. If those fibers were treated as camera pixels, this number would be comparable to a one-megapixel image, far less than the pixel counts of modern smartphone cameras, which have up to hundreds of megapixels.\r\n\r\nSharp detail is limited to the fovea, which is a small region near the center of the retina. Outside that region, visual information is much lower in resolution but is more sensitive to motion, which helps us detect movement in our surroundings even when we are not directly looking at it. Despite this, most people experience the world as if it is sharp and detailed everywhere at once.\r\n<blockquote>If the eye functioned like a camera, it would be a surprisingly bad one.<\/blockquote>\r\nThis sense of completeness stems from the fact that human vision is not a passive recording process. Even when we think we are staring steadily at something, our eyes are never still.\r\n\r\n\u201cOur eyes are constantly moving, placing the fovea on whatever part of the scene is most relevant,\u201d says Rucci, whose research examines active perception: how the visual system gathers information through eye, head, and body movements. Some of this work has focused on the tiny eye movements that occur during fixation, including a slow wandering motion called ocular drift and occasional small jumps called microsaccades. \u201cWe are normally unaware of these movements, but they are important.\u201d\r\n\r\nOur experience of a detailed visual world, then, is less like taking a photograph and more like moving a flashlight quickly through a dark room. Only a small portion of the scene is illuminated in detail at any given moment, but because the beam shifts so rapidly and continuously, the brain combines those glimpses into a coherent rendering of the scene.\r\n\r\nEven more surprising? If our eyes are prevented from moving, our vision begins to break down. In experiments where images are artificially stabilized on the retina, the image fades from perception.\r\n\r\n\u201cIn a camera, motion tends to blur an image,\u201d Rucci says. \u201cIn the eye, however, small movements help structure the visual input, transforming spatial patterns in the world into temporal signals that retinal neurons can encode.\u201d\r\n\r\nEye movements are, therefore, a fundamental part of how seeing works. Rather than delivering a fixed image to the brain, the eyes continually convert the world into a changing stream of visual information that the brain can interpret.","background_color":"#ffffff","width":"width-medium"},{"acf_fc_layout":"text","anchor":"","css_class":"pt-0","title":"","content":"<h3><strong>Misconception #2: You see everything in front of you.<\/strong><\/h3>\r\n[caption id=\"attachment_708992\" align=\"aligncenter\" width=\"2000\"]<img class=\"size-full wp-image-708992\" src=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2026\/06\/fea-how-human-vision-works-brain-processing-virtual-augmented-reality-optical-illusion-Canard-lapin_retouche.jpg\" alt=\"The earliest known line drawing of the duck\u2013rabbit illusion.\" width=\"2000\" height=\"1200\" \/> <strong>(H)OPTICAL ILLUSION?<\/strong> The earliest known version of the duck\u2013rabbit illusion dates to 1892. Which do you see first? Can you switch between the two? (<a href=\"https:\/\/commons.wikimedia.org\/wiki\/Category:Rabbit\u2013duck_illusion#\/media\/File:Canard-lapin_retouch\u00e9.jpg\">Wikimedia Commons<\/a>)[\/caption]\r\n\r\nIf the eyes are a sampling system, the brain is where the construction happens.\r\n\r\nA common misconception is that the brain processes everything the eyes deliver. In actuality, \u201cthe human brain operates under strict bandwidth constraints,\u201d says <a href=\"https:\/\/sas.rochester.edu\/bcs\/people\/faculty\/tadin_duje\/index.html\">Duje Tadin<\/a>, a professor of brain and cognitive sciences. \u201cWe can typically only hold five to seven chunks of information at a time in our working memory.\u201d\r\n\r\nBecause our cognitive systems can handle only a limited amount of information at once, the visual system has evolved to be highly selective about what it passes along. The amount of information that reaches the eyes is enormous. At every stage of processing, the brain filters, prioritizes, and discards incoming information. But what the brain loses in detail, it gains in meaning\u2014things like labels and object recognition.\r\n\r\nFor instance, imagine searching for your keys on a cluttered desk. Your eyes take in the pens, papers, charging cables, dust, shadows, and dozens of other details. Yet you don\u2019t consciously process these details equally. If your keys have a blue keychain, blue objects become more noticeable. If you usually leave your keys on the right side of the desk, you are drawn there first.\r\n<blockquote>\u201cWhat we perceive is a combination of what enters the eye and the brain\u2019s educated guess.\u201d<\/blockquote>\r\nRather than preserving every detail of the visual scene, your brain builds a version of reality that helps you accomplish the task at hand.\r\n\r\nAttention also plays a major role. Some information stands out because it is visually distinct. Other information stands out because it matches what a person is looking for, expecting, or thinking about. What we notice depends not only on what is present but on what our brain has decided is relevant, stemming both from the task at hand and prior experience.\r\n\r\n[caption id=\"attachment_709052\" align=\"alignright\" width=\"500\"]<img class=\"wp-image-709052 size-full\" src=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2026\/06\/inline-The-Printsellers-Window-1883-Walter-Goodman-98.75_A4.jpg\" alt=\"&quot;The Printseller's Window&quot; (1883) painting by Walter Goodman.\" width=\"500\" height=\"579\" \/> \u201cThe Printseller's Window\u201d (1883), by Walter Goodman, is painted in the highly realistic illusionistic technique of <em>trompe l\u2019oeil<\/em>, French for \u201cfool the eye.\u201d (糖心传媒 Memorial Art Gallery collection)[\/caption]\r\n\r\n\u201cThe brain\u2019s goal is not to create an accurate picture of the world around us,\u201d Tadin says. \u201cThe goal is to create something that\u2019s useful for our survival, that gives us information when we need it, and that doesn\u2019t waste brain resources on things we don\u2019t.\u201d\r\n\r\nThis helps explain why people can miss things that seem impossible to overlook, such as the person in the gorilla suit in the \u201cinvisible gorilla\u201d experiment. Our eyes receive the information, but our attention is focused elsewhere.\r\n\r\nOptical illusions reveal a different aspect of the same broader process.\r\n\r\n\u201cIf there are gaps in perception, the brain makes the best guess at filling in the relevant information,\u201d Tadin says. \u201cWhat we perceive is a combination of what enters the eye and the brain\u2019s educated guess.\u201d\r\n\r\nIn other words, perception is not a perfect readout of reality; it is an informed interpretation. Rather than guessing randomly, the brain fills in missing information by drawing on context and our vast prior visual experience. It emphasizes what seems important and even allocates its resources unevenly.\r\n\r\nThe result is a remarkably efficient system, one that builds a useful model of reality rather than an exhaustive one.","background_color":"#ffffff","width":"width-medium"},{"acf_fc_layout":"media_text_new","anchor":"","class":"","overline":"","title":"<h3><strong>What optical illusions reveal about the brain<\/strong><\/h3>","content":"Visual illusions provide clues to how the brain processes what people see. According to research from URochester Medicine scientists, the connections in the brain that send information about the context of what is being seen may operate more slowly in people with autism.","cta":{"title":"A different point of view","url":"https:\/\/www.urmc.rochester.edu\/news\/publications\/neuroscience\/through-the-eye-of-the-beholder-people-with-autism-may-process-illusory-shapes-differently","target":""},"bg":"#f4f4f4","type":"video","image":"","embed":"","video":716602,"layout":"above","animation":"animation-false"},{"acf_fc_layout":"text","anchor":"","css_class":"pt-0","title":"","content":"<h3><strong>Misconception #3: Better AR and VR just means better graphics.<\/strong><\/h3>\r\n[caption id=\"attachment_708982\" align=\"aligncenter\" width=\"2000\"]<img class=\"size-full wp-image-708982\" src=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2026\/06\/fea-how-human-vision-works-brain-processing-virtual-augmented-reality-2024-03-22_Studio_X_2657.jpg\" alt=\"Straight on shot of a URochester student wearing an AR\/VR headset with her hands out in front of her.\" width=\"2000\" height=\"1200\" \/> <strong>WHAT YOU THINK YOU SAW, YOU DID NOT SEE:<\/strong> AR\/VR headsets and systems aim not just to render realistic environments but also to match how humans perceive the world. (URochester photo \/ J. Adam Fenster)[\/caption]\r\n\r\nBy the time visual information reaches our awareness, it has already been shaped by constantly moving eyes and a brain that sifts, prioritizes, and fills in the gaps. Reproducing that experience turns out to be much more difficult than simply displaying an image.\r\n\r\nThe goal of AR and VR is often assumed to be creating a perfect digital replica of the world. In practice, however, AR and VR technologies are trying to do something that is arguably much more complicated: match the way humans perceive the world.\r\n\r\nAs Barry Silverstein\u2019s work shows, even small mismatches in how visual information is delivered can break the illusion.\r\n\r\n\u201cThe world is vast, and you can\u2019t really predict where a human is going to see,\u201d says Silverstein \u201884, a professor of practice at URochester\u2019s <a href=\"https:\/\/hajim.rochester.edu\/optics\/\">Institute of Optics<\/a> and director of the <a href=\"https:\/\/www.rochester.edu\/university-research\/initiatives\/extended-reality-research-and-application-extrra\/\">Center for Extended Reality<\/a>. \u201cYou need to provide, in general, more information than you\u2019d like. But that becomes a problem because the eye moves and the head moves. Creating an optical system that moves along with the eye and the head, at this point, is beyond what the technology can do.\u201d\r\n<blockquote>\u201cPerception is who we are. And it\u2019s different for everyone.\u201d<\/blockquote>\r\nLike the brain, AR and VR systems must decide what information to show and what to leave out. Too much information creates computational overload. Too little information makes the experience feel incorrect. Eye tracking, such as the research conducted by Rucci, is a key piece of the puzzle. By identifying where a person is looking, future systems will devote their highest resolution and computing power only to the most relevant parts of a scene while simplifying the rest. But because our eyes never stop moving, those adjustments need to happen almost instantaneously for the technology to work convincingly.\r\n\r\nEye tracking is only one challenge. Another major challenge is accurately reproducing depth and focus. In human vision, where the eyes point and where the lenses focus are tightly linked. In virtual environments, those systems don\u2019t always align. The eyes may converge on a virtual object that appears to be close while the lenses remain focused at a fixed distance. The result is a subtle mismatch between what the visual system expects and what it receives. That mismatch is part of why virtual environments can feel subtly unnatural, even when they look visually convincing. It can also lead to eye strain, headaches, and motion sickness.\r\n\r\n\u201cIt\u2019s hard to deliver the world the way that you see it, through any particular technology,\u201d Silverstein says. \u201cAnd doing that on the head is really complicated because you can only have so much technology comfortably worn by a person.\u201d\r\n\r\nUltimately, human perception itself is not something technology can easily emulate.\r\n\r\nAs Silverstein puts it: \u201cPerception is who we are. And it\u2019s different for everyone.\u201d","background_color":"#ffffff","width":"width-medium"},{"acf_fc_layout":"text","anchor":"","css_class":"pt-0","title":"","content":"<h3><strong>Misconception #4: Seeing is simple.<\/strong><\/h3>\r\n[caption id=\"attachment_709072\" align=\"aligncenter\" width=\"2000\"]<img class=\"size-full wp-image-709072\" src=\"https:\/\/www.rochester.edu\/newscenter\/wp-content\/uploads\/2026\/06\/fea-how-human-vision-works-brain-processing-virtual-augmented-reality-2024-08-13_Rucci_Meta_project_0555.jpg\" alt=\"Extreme close-up of Krish Prahalad's eye.\" width=\"2000\" height=\"1200\" \/> <strong>THE EYES HAVE IT:<\/strong> Humans make vision look easy. (URochester photo \/ J. Adam Fenster)[\/caption]\r\n\r\nTadin often asks students in his introductory class on perception: \u201cWhich is easier, math or vision?\u201d Most students choose vision.\r\n\r\n\u201cVision seems so effortless that it is easy to underestimate its complexity,\u201d Tadin says. \u201cBut vision feels effortless only because so much of our brain\u2019s computing power is dedicated to it. It is a really difficult process to replicate with computers or even AI. In contrast, calculators and computers can easily do challenging math problems.\u201d\r\n<blockquote>\u201cVision feels effortless only because so much of our brain\u2019s computing power is dedicated to it. It is a really difficult process to replicate with computers or even AI.\u201d<\/blockquote>\r\nBuilding convincing AR and VR systems, therefore, isn\u2019t simply about adding more pixels, brighter displays, or faster processors. The challenge is matching an extremely complex process that we barely notice happening. Seeing feels effortless, but it is anything but simple. Every moment, the eyes and brain work together to sample, filter, and interpret the world around us.\r\n\r\nWhat feels like reality is, in many ways, an experience the brain is constantly constructing.","background_color":"#ffffff","width":"width-medium"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The biggest misconception about vision? That you see reality How Human Vision Works\u2014and Why Virtual Reality Still Feels Different<\/title>\n<meta name=\"description\" content=\"Human vision isn\u2019t a direct recording of the world. 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