Parastoo Abtahi

@parastooabtahi.bsky.social

Assistant Professor of Computer Science at Princeton | #HCI #AR #VR #SpatialComputing parastooabtahi.com

As AI agents enter the physical world via AR glasses and robots, they need to interpret ambiguous references, including imprecise pointing and underspecified language like “what’s that?” We present Uncertain Pointer at #CHI2026 led by the amazing Ching-Yi Tsai w/ Nicole Tacconi & Andy Wilson 🧵 1/4

Lauren Wang from @princeton.edu will be presenting at #HRI2026 in Edinburgh next week! “Explainable OOHRI: Communicating Robot Capabilities and Limitations as AR Affordances” Come say hi if you’re around! 👋 🔗 Project Page: xoohri.github.io
 📅 Time and Location: Mar 17 Tuesday, 2 PM, Session 3B

PrincetonHCI@princetonhci.bsky.social · 6mo ago

Checkout the latest work from @princetonhci.bsky.social folks at #CHI2026 @princeton.edu @princetonhci.bsky.social

A fundamental challenge in human-robot interaction is that capabilities and limitations are often opaque to users. In our upcoming #HRI2026 paper, X-OOHRI, led by the brilliant Lauren Wang, we use AR to make robot capabilities and limits visible during object-oriented interactions 🤖

Thrilled that Reality Promises received a best paper award at #UIST2025. Come see Mo Kari’s talk on the last day of the conference! 📍Wed, at 11:00 AM, in the Sydney room

Parastoo Abtahi@parastooabtahi.bsky.social · 12mo ago

In #VR, users can experience “magical” interactions, such as moving distant virtual objects with the Go-Go technique. How might we similarly extend people’s abilities in the physical world? 🪄 Excited to share Reality Promises, our #UIST2025 paper, led by the amazing Mo Kari ✨

In #VR, users can experience “magical” interactions, such as moving distant virtual objects with the Go-Go technique. How might we similarly extend people’s abilities in the physical world? 🪄 Excited to share Reality Promises, our #UIST2025 paper, led by the amazing Mo Kari ✨

Check out Lauren Wang’s #UIST2025 poster on GhostObjects: life-size, world-aligned virtual twins for fast and precise robot instruction, with real-world lasso selection, multi-object manipulation, and snap-to-default placement. This is the first piece in her ongoing work on #AR for #HRI 🤖👓

Tue April 29: I'll be cheering Indu Panigrahi present our LBW on interactive AI explanations (w/ Amna, Rohan, Olga, Ruth, @parastooabtahi.bsky.social) in the 10:30-11:10am and 3:40-4:20pm poster sessions (North 1F) 🧵 bsky.app/profile/para... 📌 programs.sigchi.org/chi/2025/pro...

Parastoo Abtahi@parastooabtahi.bsky.social · last yr.

Check out Indu Panigrahi’s LBW at #CHI2025: “Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations.” 🔗 Project Page: ind1010.github.io/interactive_XAI 📄 Extended Abstract: arxiv.org/abs/2504.10745

Title: “Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations.” Authors: Indu Panigrahi, Sunnie S. Y. Kim*, Amna Liaqat*, Rohan Jinturkar, Olga Russakovsky, Ruth Fong, Parastoo Abtahi. Logos: Princeton University, NSF, OpenPhil, Princeton HCI, Open Glass Lab, and Princeton Visual AI Lab. CHI 2025, April 26–May 1, 2025, Yokohama, Japan, including illustrations of Yokohama’s skyline, ferris wheel, and a pink sailboat labeled “CHI.”