Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham скачать в хорошем качестве

Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham

Jeff Bigham Carnegie Mellon University March 6, 2020 AI hype is deflating; what will remain is a rich harvest of human-centered technical work applying machine learning to important problems. This talk introduces current and past work in human-computer interaction and artificial intelligence to make the case that HCI will drive impact in intelligent systems over the near and medium term. In particular, we'll consider applications of AI in access technology, a domain that combines different utility curves for users, resulting early adoption, and yet presents use cases that have to work. Learn more about Stanford's Human-Computer Interaction Group: https://hci.stanford.edu Learn about Stanford's Graduate Certificate in HCI: https://online.stanford.edu/programs/... View the full playlist:    • Stanford CS547 - Human-Computer Interactio...   0:00 Introduction 2:51 Human-Computer Interaction 4:50 The Long Slog Against Ability Assumptions 8:41 What does a screen reader do? 15:14 Alt Text Today 16:06 Hiding Accessibility 19:29 First and Second Class Abilities 20:47 Designing What Users Don't Want 24:33 Discoverability 26:23 Help, my semantics became pixels 30:55 Audio CAPTCHAs and Screen Readers 33:17 People with Disabilities as Early Adopters 34:34 Machine Learning Arcs and Cycles 36:17 Designing for Ability Outliers 37:36 Dyslexia Detection 43:14 Making Memes Accessible 44:10 Real-World Devices 46:32 Real-World Touchscreens 46:39 Adding Risk-Free Exploration to Legacy Touchscreens 47:00 Blind Participant #5 Completing task with app guidance #hci #accessibility #ai