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The 3rd InterAI Workshop: Interactive AI for Human-centered Robotics
Conference proceeding

The 3rd InterAI Workshop: Interactive AI for Human-centered Robotics

Yuchong Zhang, Di Fu, Yong Ma, Elmira Yadollahi, Iolanda Leite and Danica Kragic
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, pp.1-8
ACM Conferences
CHI EA '26: Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
13/04/2026

Abstract

Computer systems organization -- Robotics Computing methodologies -- Artificial intelligence Human-centered computing -- Interactive systems and tools
Interactive artificial intelligence (AI) has rapidly emerged as a key field within both the human-computer interaction (HCI) and AI communities, driven by the growth of human-centered and responsible AI over the past few years. Unlike traditional AI approaches that prioritize algorithms, interactive AI emphasizes real-time manipulation, human-centered design, and transparency control in data and algorithms, with the overarching goal of enhancing human benefit. Simultaneously, AI-driven and embodied robotic systems are becoming increasingly integrated into daily life – homes, workplaces, public spaces, and healthcare – where human interaction is central to their success and acceptance. This makes it crucial to design robotic systems that are not only technically capable, but also understandable, trustworthy, and responsive to people’s needs, capabilities, and values. In light of this, we present the third edition of this InterAI workshop 1 – Interactive AI for Human-Centered Robotics – to the CHI community, aiming to gain deeper insights of this emerging area through a half-day, in-person event. Our objective is to explore the current research landscape, identify challenges, and articulate future research directions for integrating interactive AI into human-centered robotic systems.

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