Creating a working style guide is common for people with disabilities to describe their working style and promote greater efficiency. The style guides can explain communication preferences, assistive technology usage, flexible work hours, requirements for mental and physical health, and how they approach new projects. The working style guide may highlight areas of strength, weaknesses, and distractions.
Working style guides promote transparency within the workplace. The goal is to eliminate friction when a manager or co-worker makes a request or takes an action that is inappropriate.
Just as personal pronoun usage has extended beyond the trans-community, the remote workplace during COVID-19 has also increased the need for everyone to create a style guide. This should also include relevant information about your home/family. For instance, you may have unexpected sounds in the background: you have a dog that barks at the doorbell, you have a child that vocalizes, the neighbor is a musician. You may be sharing Zoom-friendly space with family members and need to coordinate with their calendar. Continue reading “Working Style for Ted Drake”
I recently gave a presentation for Maxability about color contrast. This is a complex topic and could never be fully covered in one hour. I hoped to bring some understanding of why we still have problems with color contrast, understanding why designers may use a color that doesn’t meet color contrast requirements, and strategies to build better products.
Inclusive Design includes more than recognizing challenges for our customers with a disability. It also recognizes the intersections between ability, race, gender, socioeconomic, and family dynamics. Including diverse voices in your product design and customer interviews will lead to greater products that support all of our customers.
Artificial Intelligence and Accessibility for Global Accessibility Awareness Day 2020
Machine learning and artificial intelligence are keywords used to describe the process of building complex interactions based on large amounts of data. While the industry has been evolving steadily since the 1950’s, we are now at a point where there’s universal access to the technology. This has had a great impact on assistive technology and how we build solutions for today and strategies for the future. This presentation was created for the Hello A11y conference to celebrate Global Accessibility Awareness Day 2020
Machine Learning vs. Artificial Intelligence
Where do we go from here
Key Trends in AI for Accessibility
Machine Learning and Artificial Intelligence
Computer learns from exploring data, discovering connections, and solving a problem.
Car learns how to analyze risks in an intersection
Computer takes initiative to do something based on what it has learned.
Car takes corrective actions to avoid an accident.
The Apple Watch contains two features that require no user input. The watch can detect irregular heartbeats and falls. In fact, not interacting with the screen is an interaction, for the fall monitoring it will send a request for help.
QuickBooks Mileage Tracking
QuickBooks Mobile app creates mileage reports. Simply give it location permission and it tracks start, finish, mileage, and provides potential expense deductions. You can be the driver or passenger. The average users finds 37% more expense deductions.
Make it Work
Seeing AI by Microsoft
Seeing AI is a great app from Microsoft. But much of it’s functionality, including: object detection, barcode scanner, facial recognition, and currency identification, can also be found with OrCam, Lookout, and other applications. But SeeingAI has a feature that makes it easier for people to successfully scan product barcodes. It uses AI to scan the object and detect the barcode before it is completely visible. It then gives audio directions to rotate the object until it can scan the code.
Safe Exit for All
Researchers at Wichita State University have developed Safe Exit For All. It’s an emergency exit navigation system which dynamically adjusts for danger zones. It provides customized directions based on the user’s disability, such as mobility or vision
Satya Panda and Dr. Bindu Sravani Nayak used open-source machine learning libraries and affordable data servers to create an application that can differentiate oral diseases based on multiple factors and simplify the process of diagnosis and treatment. This allows dentists to see more patients and increase treatment efficacy.They are an example of the democratization of ML/AI and niche projects that can be built by everyone.
Make it for Everyone
Unconscious bias is a significant barrier to small business funding. QuickBooks Capital analyzes 26 billion transactions and data points to provide loans based on a business’s ability to repay. 60% of customers say they didn’t qualify for loans before QuickBooks Capital.
Smith-Kettlewell Institute is researching the use of computer vision to provide indoor navigation without architectural additions, such as blue-tooth beacons. The project uses a combination of building layout drawings and recognizable landmarks, such as exit signs. It uses the phone’s camera and AI to determine the person’s location and to give step by step directions.
Clew is an app that uses computer vision to creat path tracing. A person would be guided from to a location. For instance going from a meeting room to the restroom. The mobile device would record the landmarks and create a path to lead the person back to their original starting point.
Voice Recognition for everyone
Mozilla’s Common Voice is an initiative to teach machines how real people speak. Volunteers are building a giant data set of voice recordings from all accents, languages, and speech ability. VoiceITT and Google’s Project Euphonia are focusing specifically on understanding dysarthric speech.
There’s a tremendous amount of government data available on the internet today. It’s an open data revolution led by the United States and the United Kingdom. This data ranges from the basic (crime, weather, finances, education) to the obscure (suicide rates, bicycle accidents). Through analysis, data can expose inefficiencies, corruption, geo-distributed social patterns, and successful policies. Data transparency flips the tables and gives citizens the tools to hold government more accountable.