ATRU: A Stage-based Framework for Designing Ethology-Inspired Social Robots

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Authors: Xiaoqing Sun, Yanheng Li, Zhen Yin, Xinyan Zhao, Xipei Ren
Cited by: 3
References: 96

Abstract

Animal behavior (ethology) has emerged as a promising source of inspiration for social robot design. However, existing efforts have commonly resulted in isolated design instances. Our high-level understanding of the design processes for integrating ethological insights into social robot design and evaluation remains limited. To address this gap, we conducted a two-step investigation. First, we developed a stage-based framework through a systematic review, identifying six core design stages along with their descriptive dimensions. Using this framework as an analytic lens, we then analyzed design cases drawn from academic, commercial, and public contexts, deriving stage-specific considerations and actionable strategies to support designers in navigating the process. Our findings provide a conceptual scaffold for operationalizing ethology as a design resource, enabling more systematic, reflective, and transferable practices, while also surfacing new opportunities for future social robot interaction design.

Fields of Study & Subjects

Social Robot Interaction and HRI Human-Animal Interaction Studies Robotic Locomotion and Control

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–19
Publication date
13 April 2026
Language
EN