A COMPUTATIONAL MODEL OF HUMAN-ROBOT COLLABORATION TRUST AND ITS APPLICATION IN SIMULATED OPERATIVE DOMAIN

Received: 14 June 2022, Revised: 07 July 2022, Accepted: 11 Nov 2022, Available online: 21 Dec 2022, Version of Record: 21 Dec 2022

Wadhah A. Abdulhussain & Azizi Ab Aziz*
Relational Machines Group, Human-Centred Computing Lab, School of Computing, Universiti Utara Malaysia (UUM), Malaysia
*Email: aziziaziz@uum.edu.my

Abstract


Many years back, robots were fundamentally designed and separated from the human environment to prevent humans from getting too close and to eliminate possible risks. However, now some technologies are being made available for humans to work closely in the same area as robots. These robots are likely to operate as substitute humans / experts, where they will be employed to increase the efforts of, or stand in for, humans. In order to accomplish this goal, one of the essential precursors is a robot to gain the trust of human team members. This article presents a computational analysis of human-robot collaboration trust within a simulated military operative domain. In this study, simulation experiments under various parameter settings indicate that the model can generate reasonable behaviour of distinct types of chosen cases. Moreover, through equilibria analysis, the model's stability state has been established, and by automated checking, the model's fundamental empirical-based properties have been confirmed.
Keywords: Collaborative robot simulation; human-robot-in-the-loop; computational cognitive modelling; military operative domain; trust modelling.



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“Authors state no conflict of interest”


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This research received no external funding or grants


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