Humanoid Factors: Design Principles for AI Humanoids in Human Worlds
Xinyuan Liu, Eren Sadikoglu, Ransalu Senanayake, Lixiao Huang

TL;DR
This paper introduces the humanoid factors framework, encompassing physical, cognitive, social, and ethical aspects, to guide the design and evaluation of AI humanoids for effective coexistence with humans.
Contribution
It presents a novel comprehensive framework for humanoid design that considers human-like behavior, social presence, and ethical factors, extending beyond traditional robotic metrics.
Findings
Framework applied to evaluate a humanoid control algorithm
Highlights limitations of conventional task metrics in robotics
Emphasizes importance of human interaction principles in design
Abstract
Human factors research has long focused on optimizing environments, tools, and systems to account for human performance. Yet, as humanoid robots begin to share our workplaces, homes, and public spaces, the design challenge expands. We must now consider not only factors for humans but also factors for humanoids, since both will coexist and interact within the same environments. Unlike conventional machines, humanoids introduce expectations of human-like behavior, communication, and social presence, which reshape usability, trust, and safety considerations. In this article, we introduce the concept of humanoid factors as a framework structured around four pillars - physical, cognitive, social, and ethical - that shape the development of humanoids to help them effectively coexist and collaborate with humans. This framework characterizes the overlap and divergence between human capabilities…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
