A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 28 references that are in the map. First posted on arXiv 26 Mar 2026.
Builds on
5 of 28 references.
References · 5
- 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
- 2022Inner Monologue: Embodied Reasoning through Planning with Language Modelscited by 1,081
- 2022Robot Operating System 2: Design, Architecture, and Uses In The Wildcited by 199
- 2020The Marathon 2: A Navigation Systemcited by 70
- 2025Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Studycited by 1
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Citing papers per year: 2026: 1.
1 paper.