francois aubin, Author at CognitiveGroup

Flying Blind: The Perils of Relying on Machine Learning Without Accurate Data standard

Summary: The most advanced machine learning can produce inaccurate results if the problem is not defined correctly. This is highlighted in the scheduling application for aviation companies. Pilots were unsatisfied due to the flawed algorithm. Introduction: Building schedules for large aviation companies can be a complex task that involving various factors: Seniority, regulations, individual preferences and routes for thousands of pilots and crew members. It is crucial to integrate all the factors correctly to create a fair and efficient schedule that satisfies everyone. User experience review: The scheduling application was evaluated by conducting one-on-one interviews and observations with 20 pilots from five aviation companies: Delta, United, Air Transat, Air Canada. The pilots found the application frustrating to use. They felt ...

The Illusion of Expertise in Open-Loop Systems standard

Summary: This article debunks the erroneous beliefs regarding the expertise of individuals in making decisions within open-loop systems and presents an approach to overcome their limitations. Open-loop systems don’t provide real-time feedback of the results. This makes it difficult to adjust strategies effectively. For instance, in real estate investments or marketing campaigns, the success or failure of a decision is not known for months or years, making it difficult to make informed decisions. For example, human resource managers receive feedback on an employee’s performance after making the hiring decision . The lack of actual feedback in open-loop systems impairs the accumulation of experience. Unlike close-loop systems, like driving a car, where numerous decisions are made with real-time feedback. Open-loop systems ...

Designing AI Systems that work standard

Cognitive’s mission is to design AI systems that are practical and understandable. Current AI technologies, such as ChatGPT for openAI, offer benefits. However, they can be unpredictable and opaque. AI systems must be intuitive, efficient, transparent and based on cognitive work processes. The use of cognitive task analysis (CTA) in combination with AI allows the capture and understanding of how people think and work and the identification of the tasks and goals users wish to accomplish. This approach ensures that design AI systems are tailored to user needs and that AI systems are practical, efficient, transparent and align seamlessly with the way people think, work and communicate. Cognitive has a dynamic group of experts, researchers, engineers, and operational leaders who ...

AI and Human Decision Making: A Winning Combination standard

Discussions on how AI can improve human decision-making by providing accurate and up-to-date information and knowledge. Human Reasoning Reasoning is the process through which individuals use information and knowledge to make judgments, decisions and solve problems. However, it is surprising to hear people expressing opinions on topics for which they have limited information or knowledge. Questions about the Vietnam War, the JFK assassination, global warming or vaccines receive diverse responses from individuals. Further questioning will reveal that their knowledge on the subject is insignificant. For example, some people determine that climate warming is a natural phenomenon, not caused by human activities. They argue that there were cold and warm periods in the past, volcano emissions are more significant than human ...

Myth regarding battery electric vehicle versus internal combustion engine standard

Myths have played an important role in human history by providing moral guidance and creating a sense of identity and community. Myths can also be a cognitive limitation for humans and can lead to wrong decisions such as war. Why human believe in myths: They may lack access to accurate information or the skill to evaluate the information they have. They often apply their previous experiences and knowledge to new situations. They might reject information sources because they disagree with the ideology presented by those sources. Cognitive biases that make it difficult to question or challenge myths. For example, people may be more likely to accept information that confirms their existing beliefs and to reject information that contradicts them. They ...

Why Data Science Projects Fail and How Cognitive Task Analysis Can Prevent It standard

Key causes of failures No good state of the end goal of a project. The desired outcome that is hoped to be achieved by completing the project. Poor-quality data can lead to wrong conclusions and unreliable results due to lack of research, not properly assessing the data available. Lack of communication. Data science projects are complex and require collaboration between data scientists, engineers, and stakeholders. Results can lead to misunderstandings and incorrect assumptions being made. Poor Modeling: If the wrong model is chosen or the model is not fine-tuned properly, the project may not yield the desired results. How cognitive task analysis can ensure success of data sciences projects Identify what the problem project is intended to solve and create ...

Automation of the Loan Origination Process standard

BusinessBANKER helps automate the loan origination process by providing a secure, cloud-based platform that automates workflows and integrates with existing systems. With BusinessBANKER, loan officers can quickly and easily collect and track borrower documentation, automate repetitive tasks and get real-time visibility into the status of every loan in the pipeline. As a result, loan officers can spend less time on paperwork and more time developing relationships with borrowers and referral sources. Loan origination automation can take many forms, from online applications that can be automatically processed by lenders to software that helps underwriters verify borrower information. By automating the loan origination process, lenders can reduce the time it takes to approve or deny a loan, making the process more efficient ...

AI Projects and How They Work standard

Introduction In 2014, Geoffrey Hinton, Yoshua Bengio and others behind Google succeeded in combining neural networks, large quantities of data, and powerful computers to make breakthroughs in the field of AI. AI or Artificial intelligence is the ability of machines to perform tasks commonly associated with intelligent humans. . In practice, AI is not one thing but a set of techniques that can automate tasks such as forecasting, recognizing images, recognizing speech, understanding text, detecting anomalies and other tasks previously reserved for human intelligence. In real life though, human work is complex. It combines multiple tasks at different levels. A medical doctor making a diagnosis will gather information using multiple senses and techniques. He may talk with the patient, touch ...

Scaling design for a wide audience comprising expert and novice users standard

TAKE AWAY: The best way to ensure a scalable design is to design for experts before designing for novice users. By Francois Aubin Topic: Scalability and User Experience Users –whether experts or novices – use an application because they want to accomplish tasks. Experts want rapidity while novices want the ease of learning. A major design problem is when the target user comprises experts and novices. What does scalability mean? In the area of information technology, scalability has two uses —- 1) From the computer engineer’s perspective, scalability refers to a computer application or product (whether it is hardware or software) for optimized functioning when the size or its volume is being changed. 2) From the UX user experience ...

UX researcher – aeronautics standard

Cognitive Group, leader in cognitive engineering, is looking to expand its team located at its downtown Montreal’s office. Role and responsibilities Perform user research Perform task analysis Build the journey map / business process Analyse comparables and the competition In team with UI/UX designer, do the UI design for web, mobile and other devices Prepare and run usability tests In team with UI/UX designer, iterate prototypes in a fast iterative mode Interact with customers and stakeholders Qualifications Empathy Listening skills Opening Ability to present and share design rationale Preferred Qualifications / Interests Interest in projects of a technical nature intended for experts in aeronautics (pilots, maintenance teams, flight data analysts, etc.) 5 years experience Bachelor Degree in ...