[Colloquium] (TOMORROW) [Staff] : Towards Human-Aware Robots: Social Signals for Robot Error Detection in HRI- Friday, November 15th

[Abigail Santana via Colloquium]

UNIVERSITY OF CHICAGO
COMPUTER SCIENCE DEPARTMENT
PRESENTS

Maia Stiber
Johns Hopkins University
PhD Student

Friday, November 15th
10:00am - 11:00am
John Crerar Library 298

Title: Towards Human-Aware Robots: Social Signals for Robot Error Detection in HRI

Abstract: Effective human-robot interaction relies on a robot’s ability to interpret and adapt to human behavior in real-time. My research advances human-aware robots by using social signals as inputs for understanding human internal states and models. Focusing on error-awareness, I develop a flexible, social signal-based framework that detects robot errors through natural human reactions, enabling error detection across tasks and users. To build on this, I introduce a proactive, multimodal system that actively involves users in error detection, promoting reliable and timely error detection. Through my research, I take a step towards deploying human-aware robots that can adapt to user behaviors, improving both the reliability and acceptance of robotic systems in everyday environments.

Biography: <https://www.maiastiber.com> Maia Stiber<https://www.maiastiber.com> is a PhD graduate in Computer Science at Johns Hopkins University in the Intuitive Computing Lab. Her research focuses on modeling human behaviors to develop human-aware capabilities in HRI, specifically by modeling implicit human responses to unexpected robot errors for improved error detection. She has interned at Microsoft Research and holds a B.S. in Computer Science from Caltech and an M.S.E. in Computer Science from JHU.



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Host: Sarah Sebo

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