Table of Contents
Fetching ...

A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots

Giulio Pisaneschi, Pierpaolo Serio, Estelle Gerbier, Andrea Dan Ryals, Lorenzo Pollini, Mario G. C. A. Cimino

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 intentional stance in robotics.

A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots

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 intentional stance in robotics.

Paper Structure

This paper contains 22 sections, 14 equations, 3 figures.

Figures (3)

  • Figure 1: Architecture of the proposed platform.
  • Figure 2: Plan view (top row) and camera view (bottom row) corresponding to the story settled in the bookstore environment.
  • Figure 3: Plain view (top row) and camera view (bottom row) corresponding to the story settled in the small house environment.