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Impact of Robot Related User Pre-experience on Cognitive Load, Trust, Trustworthiness and Satisfaction with VR Interfaces

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Advances in Service and Industrial Robotics (RAAD 2023)

Abstract

This paper investigates how user pre-experience impacts the quality of Human-Robot Interaction (HRI) when using a virtual reality (VR) interface to control a robot. The benefit lies in the fact that creating interfaces for these complex systems is a challenging process, and our aim is to shed light on one of the contributing factors. We aim to complement existing works by conducting a user study exploring the link between multiple psychological factors and users’ pre-experience with robot systems, video games and gamepads while interacting with a real robot through a VR interface. Results showed that experienced users reported less cognitive load, but also less trustworthiness of and satisfaction with the system and that these factors are correlated with system usability and satisfaction. We assume that this is based in pre-experienced users, having higher expectations and a more critical perception of new systems. These findings could guide the development of future interfaces tailored to specific user groups.

Supported by the Austrian Research Promotion Agency (FFG) - KIRAS Program - Project EASIER (FO999886357).

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Correspondence to Laurent Frering .

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Frering, L. et al. (2023). Impact of Robot Related User Pre-experience on Cognitive Load, Trust, Trustworthiness and Satisfaction with VR Interfaces. In: Petrič, T., Ude, A., Žlajpah, L. (eds) Advances in Service and Industrial Robotics. RAAD 2023. Mechanisms and Machine Science, vol 135. Springer, Cham. https://doi.org/10.1007/978-3-031-32606-6_15

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