# Reverse Psychology in Trust-Aware Human-Robot Interaction

arXiv: https://arxiv.org/abs/2103.10055 · HTML: https://mlsanity.com/paper/2103.10055/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Mar 2021.

## Built on by (most cited first, 1 of 1)

- [ToP-ToM: Trust-aware Robot Policy with Theory of Mind](https://mlsanity.com/paper/2311.04397/) (2023)

## Abstract (arXiv)

To facilitate effective human-robot interaction (HRI), trust-aware HRI has been proposed, wherein the robotic agent explicitly considers the human's trust during its planning and decision making. The success of trust-aware HRI depends on the specification of a trust dynamics model and a trust-behavior model. In this study, we proposed one novel trust-behavior model, namely the reverse psychology model, and compared it against the commonly used disuse model. We examined how the two models affect the robot's optimal policy and the human-robot team performance. Results indicate that the robot will deliberately "manipulate" the human's trust under the reverse psychology model. To correct this "manipulative" behavior, we proposed a trust-seeking reward function that facilitates trust establishment without significantly sacrificing the team performance.