mlsanityData to 14 Oct 2026

Investigating the impact of free energy based behavior on human in human-agent interaction

arXiv 2201.10164 ↗First posted 25 Jan 2022cs.HC cs.LGcited by 0

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Abstract (arXiv)

Humans communicate non-verbally by sharing physical rhythms, such as nodding and gestures, to involve each other. This sharing of physicality creates a sense of unity and makes humans feel involved with others. In this paper, we developed a new body motion generation system based on the free-energy principle (FEP), which not only responds passively but also prompts human actions. The proposed system consists of two modules, the sampling module, and the motion selection module. We conducted a subjective experiment to evaluate the "feeling of interacting with the agent" of the FEP based behavior. The results suggested that FEP based behaviors show more "feeling of interacting with the agent". Furthermore, we confirmed that the agent's gestures elicited subject gestures. This result not only reinforces the impression of feeling interaction but could also realization of agents that encourage people to change their behavior.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 16 references that are in the map. First posted on arXiv 25 Jan 2022.

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4 of 16 references.

References · 4

  1. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,064
  2. 2017A simple yet effective baseline for 3d human pose estimationcited by 401
  3. 2016Convolutional Pose Machinescited by 325
  4. 2017Hand Keypoint Detection in Single Images using Multiview Bootstrappingcited by 231

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