用语言框架测试人如何给非人形机器人归因意图
A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots
- 构建仿真机器人+任务环境，用LLM生成不同解释层
- 固定行为表现，仅改变解释语言，观察意图归因变化
- 适合研究人机交互中的认知偏差与心理模型
本文提出一个实验平台，用于研究人类对非人形机器人的意图归因。系统结合仿真机器人、真实任务环境以及基于大语言模型的解释层，能够以心理主义、目的论或机械论三种方式描述同一行为。通过保持行为不变而变换解释框架，该平台实现了对语言和表述方式如何影响人类采用意图立场的受控研究。
原文摘要 · Abstract (English)
This paper presents an experimental platform for studying intentional-state attribution toward a non-humanoid robot. The system combines a simulated robot, realistic task environments, and large language model-based explanatory layers that can express the same behavior in mentalistic, teleological, or mechanistic terms. By holding behavior constant while varying the explanatory frame, the platform provides a controlled way to investigate how language and framing shape the adoption of the intentional stance in robotics.
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