HCAIROJul 5, 2025

Human-centered AI with focus on Human-robot interaction (Book chapter)

arXiv:2507.04095v11 citationsh-index: 1
Originality Synthesis-oriented
AI Analysis

It provides a structured approach to making social robots more human-centered, which is incremental as it builds on existing human-centered AI principles.

The chapter addresses challenges in human-robot interaction by proposing a new framework called the Dual Pyramid to comprehensively list human needs, ranging from robot effectiveness to societal goals like the UN Sustainable Development Goals.

Modern social robots can be considered the descendants of steam engines from the First Industrial Revolution (IR 1.0) and industrial robotic arms from the Third Industrial Revolution (IR 3.0). As some time has passed since the introduction of these robots during the Fourth Industrial Revolution (IR 4.0), challenges and issues in their interaction with humans have emerged, leading researchers to conclude that, like any other AI-based technology, these robots must also be human-centered to meet the needs of their users. This chapter aims to introduce humans and their needs in interactions with robots, ranging from short-term, one-on-one interactions (micro-level) to long-term, macro-level needs at the societal scale. Building upon the principles of human-centered AI, this chapter presents, for the first time, a new framework of human needs called the Dual Pyramid. This framework encompasses a comprehensive list of human needs in robot interactions, from the most fundamental, robot effectiveness to macro level requirements, such as the collaboration with robots in achieving the United Nations 17 Sustainable Development Goals.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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