Нейрофизиология внимания: как алгоритмы и мозг обрабатывают первые 3 секунды видео

Биология клипового мышления: почему 400 мс решают всё Исследования MIT (2023) доказали: мозг принимает решение "смотреть/не смотреть" за 400-800 мс. Это результат эволюции — наши предки оценивали опасность за доли секунды.

https://habr.com/ru/articles/896198/

#удержание_внимания #retention_rate #лгоритмы_рекомендаций #eyetracking #префронтальная_кора

Нейрофизиология внимания: как алгоритмы и мозг обрабатывают первые 3 секунды видео

Петр Жогов, эксперт по видеомаркетингу и когнитивным технологиям Биология клипового мышления: почему 400 мс решают всё Исследования MIT (2023) доказали: мозг принимает решение "смотреть/не смотреть"...

Хабр

Wir arbeiten nun direkt mit zwei ALS/MS-Erkrankten zusammen. Gemeinsam tüfteln wir an Eye-Tracking-Lösungen und lernen viel über das Leben und den Alltag des anderen. Diese Brücke zu den Menschen zu schlagen ist enorm wertvoll. Es gibt noch viel zutun, aber der Weg stimmt.

#EyesOnDisabilities #eyetracking #headtracking #disabilities #inklusion

‼ Announcement: Online Unfold.jl workshop ‼

📅 09.05.2025
💶 Free!
👉🏼 https://github.com/s-ccs/workshop_unfold_2025
❓ rERPs, mass univariate models & deconvolution!

If you are interested in combined #EEG / #EyeTracking, in natural experiments, sequential sampling models + EEG (e.g. DriftDiffusion), #VR+EEG, - this could be a useful workshop for you!

#EEG #linearmodels #statistics
#julialang

Organized with Romy Frömer (CHBH)
and the S-CCS lab (@uni_stuttgart)

GitHub - s-ccs/workshop_unfold_2025

Contribute to s-ccs/workshop_unfold_2025 development by creating an account on GitHub.

GitHub
Man, I don't want to buy another headset, nor want to mod this thing with my HTC face tracker + make it comfortable for playing laying down, but it's literally my best bet right now I hope that Sony doesn't lock the firmware down But yeah, #eyetracking for the #PSVR2 fixupx.com/whatdahopper...

wdh (@whatdahopper)
Bluesky

Bluesky Social

👋 Wir begrüßen Junior-Professorin Dr. Priska Sprenger herzlich an der #PHHeidelberg.

🔢 Sie wird in der Abteilung #Mathematik lehren und ihre #Forschung zu mathematischen Lern- und Entwicklungsprozessen von #Kinder|n fortführen. Sprenger forscht interdisziplinär und nutzt innovative #Erhebung|smethoden wie #EyeTracking, um Wahrnehmungsprozesse zu untersuchen.

🔗 Mehr unter https://www.ph-heidelberg.de/presse-und-kommunikation/presse-mitteilungen/pressemitteilungen/details/20250401-personalia-priskasprenger

Personalia

Dr. Priska Sprenger übernimmt Juniorprofessur für Mathematik und ihre Didaktik

Eine KI, die mathematische Fähigkeiten von Kindern beurteilen und individuelle Hilfestellung bieten kann: Das verspricht das Projekt KI-ALF.

#KI #Eyetracking #Wissenschaft #Forschung

https://t3n.de/news/ki-fuer-den-matheunterricht-warum-forschende-die-blickrichtungen-von-schulkindern-analysieren-1678948/

KI für den Matheunterricht: Warum Forschende die Blickrichtungen von Schulkindern analysieren

Eine Gesamtschule in Nordrhein-Westfalen setzt erstmals auf ein neues KI-Lernsystem für den Matheunterricht. E

t3n Magazin

Eine KI, die mathematische Fähigkeiten von Kindern beurteilen und individuelle Hilfestellung bieten kann: Das verspricht das Projekt KI-ALF.

#KI #Eyetracking #Wissenschaft #Forschung

https://t3n.de/news/ki-fuer-den-matheunterricht-warum-forschende-die-blickrichtungen-von-schulkindern-analysieren-1678948/

KI für den Matheunterricht: Warum Forschende die Blickrichtungen von Schulkindern analysieren

Eine Gesamtschule in Nordrhein-Westfalen setzt erstmals auf ein neues KI-Lernsystem für den Matheunterricht. E

t3n Magazin

Excited to receive a new GazePoint GP3 eyetracker today for our testing lab!

This eyetracker is made in Canada, so if you're a researcher looking for one, consider supporting Canadian tech by checking out GazePoint or SR Research

#eyetracking #psychology #neuroscience #MadeInCanada

Spending an afternoon with the #eyelink builder view.

#eyetracking #eyelink1000 #Experimenting

F-Shaped Reading

Many of us absorb and sift through huge quantities of information on the web daily. We've trained ourselves to quickly pull out the most important information and decide if the rest is worth our time. When this happens, which is most of the time, people commonly use F-Shaped Reading. What is F-Shaped Reading? F-Shaped Reading is a pattern seen in eye-tracking studies of people reading content on the web that seems to follow the shape of an F. That looks like scanning the top words most, maybe making it to the end of a headline. Then moving down the left-hand side and heading right again when we hit another sub-head or line that draws our attention. In languages that read right-to-left, you can see a reverse F-shape. We don't always read in an F-shape. There are several other common text-scanning patterns, such as spotted, layer-cake, marking, bypassing or commitment patterns—getting stuck in and reading the whole thing. However, an F-shaped reading, first identified around 2006, is still common and used on mobile devices. F-Shaped Reading is about reading content. It's not how we might scan a shiny new web page with fancy navigation and CTAs (Calls To Action). Why an F-Shape? F-Shaped Reading means that your headline and your first sub-head matter a lot. And also, the content on the left matters more as a way to draw people into your work. But it doesn't have to be this way. An F-shape arises because we're trying to be efficient and decide if this page is worth more of our time. It's hard to get that from a block of text, so we improvise—getting an idea of the content areas from the headlines and trying to see which content blocks, if any, are relevant to read by scanning quickly down the page. I'm not too proud to admit that you may be scanning this. Improving on F-Shaped Reading and Helping Our Readers F-Shaped Reading, to my knowledge, is from the NN Group, who also has a comprehensive article on it. They have a useful list of antidotes, which I paraphrase below, together with a few additions of my own: Put the most important information first Structure with headings and subheadings Front-load words in headings and bullets with the most information (check the first word of the titles in this post) Group related content visually — see 7 Gestalt principles Highlight important content Ensure links have information-bearing words (information scent)—rewrite to avoid "click here" Use lists Cut unnecessary content Avoid big blocks of text and use a sketch instead (Sketchplanation anyone?) =) Use visuals and captions as gateways to content Related Ideas to F-Shaped Reading Also see: Happy Talk Must Die Gestalt Principles The Blur Your Eyes Test Front-load names to cue attention Skeuomorph Micro-editing redundant words Let your data speak for itself Progressive enhancement—mobile first Mobile is snorkelling. Desktop is diving (less true these days) Dark patterns: using design to deceive

Sketchplanations