ABOUT THIS EPISODE
Omar Shaikh is a Stanford PhD student, HCI and NLP researcher, and author of the award-winning UIST 2025 paper “Creating General User Models from Computer Use”. Omar’s pioneering work aims to bridge the Human-AI grounding gap.
Outline:
0:00 - Teaser
1:21 - Prelude: Introducing Omar Shaikh
2:07 - Monologue: Better Context for AI
4:22 - Bridging the Human-AI Grounding Gap
6:14 - Confidence scores in General User Models (GUMs)
7:32 - Calibration of General User Models
13:20 - Uses of General User Models
15:01 - Mixed Initiative Interactions
22:10 - Motivation for GUM
25:31 - Tabracadabra: tab everywhere!
27:01 - Design decisions in GUM
28:26 - Designing Interactive Experiences
32:11 - DITTO: https://arxiv.org/abs/2406.00888
33:06 - Work on Domains without Existing Benchmarks
34:45 - Challenges of the GUM Project
37:26 - Privacy and Data Ownership
38:57 - Finetuning a User Model
44:09 - Mindblowing GUM Inferences
49:02 - Social Problems of GUMs
50:27 - GUM as a Reflection Tool
References:
Omar Shaikh’s research homepage: https://oshaikh.com/
Creating General User Models from Computer Use: https://arxiv.org/abs/2505.10831
Tabracadabra: https://x.com/oshaikh13/status/1967626897837494479
Aligning Language Models with Demonstrated Feedback: https://arxiv.org/abs/2406.00888
Principles of Mixed-Initiative User Interfaces: https://erichorvitz.com/chi99horvitz.pdf
Verification of Forecasts Expressed in Terms of Probability: https://journals.ametsoc.org/view/journals/mwre/78/1/1520-0493_1950_078_0001_vofeit_2_0_co_2.xml
Podcast Links:
Podcast website: https://augmented-mind.github.io/
Apple Podcasts: https://podcasts.apple.com/us/podcast/augmented-mind-podcast/id1868102170
Spotify: https://open.spotify.com/show/40KculkYTe2tOpqJm6TAYr?si=PU_UncsMT4mXjVNCRwoXog
RSS: https://anchor.fm/s/10dbf5b7c/podcast/rss
About the Hosts:
The AM Podcast is hosted by Yijia Shao, Shannon Shen, and Michael Ryan, CS PhD students at Stanford University and MIT.
