Paper Detail
Giulio Pisaneschi, Pierpaolo Serio, Estelle Gerbier, Andrea Dan Ryals, Lorenzo Pollini, Mario G. C. A. Cimino
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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@article{pisaneschi2026mentalistic,
title = {A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots},
author = {Giulio Pisaneschi and Pierpaolo Serio and Estelle Gerbier and Andrea Dan Ryals and Lorenzo Pollini and Mario G. C. A. Cimino},
year = {2026},
abstract = {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 intenti},
url = {https://arxiv.org/abs/2603.25646},
keywords = {cs.RO, cs.AI, cs.HC},
eprint = {2603.25646},
archiveprefix = {arXiv},
}
{}