Nivyan Lakhani
Division of Psychology and Language Sciences, Faculty of Brain Sciences
University College London
London
April 2nd, 2024
I'm interested in artificial and biological neural networks. I also like linguistics, psychology, statistics, and computation.
I like many things. Currently orcas, typography, geoguessr, the Julia programming language and Borges spark the most joy inside me.
Accessibility is a two-system interaction:
This presentation will deal with both. High accessibility implies low impedance to information/control flow between these systems.
(Problem Statements Info)To see how the compatibility (or incompatibility) between these two systems plays out in practice, and learn tangible lessons, we will now analyze specific problem statements.
For each, we will aim to formalize the problem and outline a path towards a solution.
Who is affected? What assistive technology (AT) or interaction method is used?
What specific action is the user trying to perform?
Where in the target system does the interaction happen?
What specific obstacle prevents or hinders task completion (the incompatibility)?
Repetitive Strain Injury ->
No Input from Keyboard / Mouse ->
How do I code / write / browse the web / typeset math [...]?
I like to walk ∧
I currently have exams
I walk ⇒ ¬(revise for exams)
The fact that identical lessons emerge from such different tools – one for complex hands-free computing, the other for mobile flashcards – isn't a coincidence; it highlights fundamental principles crucial for addressing diverse accessibility needs.
They demonstrate that successful solutions often rely not on entirely novel systems, but on clever adaptation, extensibility, and community collaboration applied to existing frameworks. This recurrence underscores that the methods for empowering users through technology share core tenets, regardless of the specific barrier being overcome.