How to collect data about cognitive processes and events, how to analyze CTA findings, and how to communicate them effectively: a handbook for managers, tr
(PDF) The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis
PDF | On Jan 1, 2005, P. Pirolli and others published The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis | Find, read and cite all the research you need on ResearchGate
Cognitive Load | Laws of UX
The amount of mental resources needed to understand and interact with an interface.
Hierarchical Task Analysis - an overview | ScienceDirect Topics
Learning How to Learn (And 20+ Studies) – Max's Two Cents
I have been interested in cognitive science and effective learning methods for years. I’ve read multiple books and articles and put many ideas to test. In this post, I aim to synthesize my notes and provide references to scientific studies.
Cognitive engineering
Cognitive engineering is an interdisciplinary field that applies principles from cognitive psychology, cognitive neuroscience, and human factors to design and develop engineering systems that effectively support or enhance human cognitive processes.[1][2] The field emerged in the 1980s when Donald Norman and others recognized the need to better understand how humans interact with complex technological systems.[3]
Cognitive Bias Lab | Learn to Make Better Decisions
Explore cognitive biases with interactive tests, simulations, and real-world examples. Free platform to sharpen decision-making and critical thinking — no sign-up needed.
Finding Flow: Escaping Digital Distractions Through Deep Work and Slow Living
Learn how to achieve flow state and defeat digital distractions through environment design, mindful breaks, and deep work practices for a more focused life.
When Using AI Leads to “Brain Fry”
As firms increasingly incentivize employees to build and oversee complex teams of agents—for example, by measuring and rewarding token consumption as a proxy for performance—people are finding themselves pushed to their cognitive limits. Participants in a recent study described a “buzzing” feeling or a mental fog with difficulty focusing, slower decision-making, and headaches. The authors call this phenomenon “AI brain fry,” defined as mental fatigue from excessive use or oversight of AI tools beyond one’s cognitive capacity. This AI-associated mental strain carries significant costs in the form of increased employee errors, decision fatigue, and intention to quit. The findings also show how AI-driven workflows can be designed to diminish burnout and point toward specific manager, team, and organizational practices to avoid mental fatigue even as AI work intensifies.
Cognitive Load Theory and its Applications for Learning - Scott H Young
What makes learning hard? How can we make it easier? Cognitive load theory explains how we learn and how to do it better.
Deep work. Essentialism in asynchronous culture
Deep work Nowadays, we are getting accustomed to working in a continuously interrupting environment. Smartphone notifications, hundreds of e-mails, open spaces, and meetings slicing our workday. We are feeling busy, and overworked, but are we more productive? If I am a salesman or project coordinator that way of working can bring good effects and even improve my skills. However, for Software Developers, Designers, and other professionals that need a quiet environment for creative effort, it can lead only to frustration and burnout. They need something that is called deep work. Deep work is a concept popularized by Cal Newport in his book under the same title published in 2016. The author divides mental activity into two categories: shallow work, that does not need intensive concentration like sending e-mails, formatting documents, chatting using communicators, etc. deep work, that demands distraction-free focus on one task like writing a document, learning a new skill, designing a software system, etc.
The Cognitive Debt of Digging Through Preprints
Your Brain on MIT Media Lab
Reflector: Infrastructure for Meetings, by Greyhaven
Most organizations run on meetings. Strategy gets debated there. Decisions get made there. Context lives there. And yet...
Prompting Science Report 4: Playing Pretend: Expert Personas Don't Improve Factual Accuracy
<span> <p><span>This is the fourth in a series of short reports that help business, education, and policy leaders understand the technical details of working w
Prompting Science Report 4: Playing Pretend: Expert Personas Don't Improve Factual Accuracy
<span> <p><span>This is the fourth in a series of short reports that help business, education, and policy leaders understand the technical details of working w
Note-Taking and Personal Knowledge Management — Unattributed
Bridge heading into the smokey landscape. License: CC-0 I read Brennan Kenneth Brown's What have note-taking PKMs accomplished, really?...
