Would You Like to Visit My World? Cultivating Perceived Equality in Human-Agent Interaction via Observable Social Life Spaces
Zihong He, Shuqin Wang, Songchen Zhou, Qinghui Lin, Jialin Wang, Chen Liang, Hai-Ning Liang

TL;DR
This paper proposes the Observable Life Spaces paradigm, where AI agents have visible, social environments to foster perceived equality in human-agent interactions, moving beyond traditional command-based models.
Contribution
It introduces a novel paradigm for human-agent interaction that emphasizes observable social environments to promote perceived equality, supported by empirical evidence.
Findings
Observable social life spaces significantly increase perceived equality ($p=0.015$).
Visual representation of social environments shifts human-agent dynamics.
Agents with observable social spaces foster more relational interactions.
Abstract
Most AI agents remain confined to an instrumental "command-execution" model, resulting in unequal, one-sided interactions. While recent works attempt to build relationships through hidden memory backends, these invisible processes often fail to break the instrumental bias. In this paper, we argue that true relational equality requires agents to have an independent, observable existence. We introduce the \textit{Observable Life Spaces} paradigm, where agents inhabit a continuous virtual environment, engage in daily activities, and form social relationships that users can directly observe. Through a mixed-methods study (), we demonstrate that only when agents are endowed with a socialized life space that is visually observable to humans can the perceived equality during interaction be significantly enhanced (). Our findings suggest that visually representing an agent's…
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Taxonomy
TopicsSocial Robot Interaction and HRI · Ethics and Social Impacts of AI · Action Observation and Synchronization
