Invited Talk Thu, Apr 23, 2026 • 5:00 AM – 6:00 AM PDT Amphitheater

The Challenges of Human-Centered AI and Robotics: What We Want, Need, and are Getting From Human-Machine Interaction

Maja Matarić

Abstract

Overflow Room: 201 A/B - Language-based AI is now ubiquitous, and user expectations for intelligent machines are scaling along with it: we expect machines to understand us, predict our needs and wants, do what we enjoy and prefer, and adapt as we change our moods and minds, learn, grow, and age. Physical AI, in the form of robotics, is the next major AI challenge, and it is not ready to leap into our daily lives yet. While massive investment is focused on functional behavior of humanoid robots (perceiving the world, moving around, and manipulating objects), human-robot interaction (HRI) is relegated to an afterthought. It is assumed that once a robot can move around and do things, it will be useful and wanted, yet over 25 years of research in HRI tells us otherwise. While the needs for human-centered services continue to grow, research and development is minimal. This talk will discuss how bringing together robotics, AI, and machine learning for long-term user modeling, real-time multimodal behavioral signal processing, and affective computing is enabling machines to understand, interact, and adapt to users’ specific and ever-changing needs. We will overview methods and challenges of sparse and noisy heterogeneous, multi-modal, personal interaction data and of creating expressive agent and robot behavior toward understanding, coaching, motivating, and supporting a wide variety of user populations across the age span (infants, children, adults, elderly), ability span (typically developing, autism, anxiety, stroke, dementia), contexts (schools, therapy centers, homes), and deployment durations (from weeks to 6 months) through socially assistive robotics. We will discuss the challenges of understanding what we humans want from interactions with machines vs. what we need vs. what we are getting, and how those distinctions are shaping the future of not just AI and ML but society at large.

Speaker

Maja Matarić

Maja Matarić is a Chaired and Distinguished Professor of Computer Science, (with appointments in Neuroscience and Pediatrics) at the University of Southern California, and Principal Scientist at Google DeepMind. Her PhD and MS in Computer Science and AI are from MIT, and her BS in Computer Science is from the University of Kansas. She is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, fellow of AAAS, IEEE, AAAI, and ACM, recipient of the Presidential Award for Excellence in Science, Mathematics & Engineering Mentoring (from President Obama), Anita Borg Institute Women of Vision, ACM Athena Lecture, ACM Eugene Lawler, Mass Robotics Medal, NSF Career, MIT TR35 Innovation, and IEEE RAS Early Career Awards, and authored "The Robotics Primer" (MIT Press). She led the USC Viterbi K-12 STEM Center and actively mentors and empowers K-12 students, women, and other groups toward pursuing STEM careers. A pioneer of the field of socially assistive robotics, her research is developing human-machine interaction methods for personalized support for users with challenges, including autism, stroke, Alzheimer’s disease and other forms of dementia, anxiety, and other major health and wellness challenges. Her research group has conducted many of the first and still largest real-world studies in complex environments--including schools, nursing homes, retirement centers, and homes—to produce deep insights into complex human-machine interaction challenges with real-world users in situ.