Positive and Negative Reinforcement Nudges for Human-Robot Collaboration using a Mixed Reality Interface
Year: 2024
Type: conference-paper
Abstract: The recent emphasis on the concepts of well-being, inclusivity, and sustainability as key topics in the human-centric design of manufacturing processes has brought about a significant transformation in the relationship between humans and machines within the manufacturing environment. The application of nudging, which involves influencing people's behaviour without restricting their choices, has been extensively explored in the healthcare and retail industries. However, in the manufacturing sector, very little has been explored, it is therefore necessary to identify appropriate nudging techniques that align with the behaviour of workers. Hence, this study presents a research endeavour aimed at investigating the effectiveness of smart nudges in the manufacturing industry. To achieve this, we will investigate a human-robot collaborative assembly process where workers are nudged throughout the process to improve their performance, safety, and well-being. The objective of this research is to determine how individuals respond to different delivery methods and techniques employed in creating these nudges. The experiment will involve the utilisation of mixed-reality headsets as a means to deliver the nudges to the workers. The outcomes of this research will contribute to the implementation of effective and beneficial nudges that facilitate human-robot collaboration.
Authors: Isaiah Nassiuma, Yee Mey Goh, Ella-Mae Hubbard
Institution: Loughborough University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4403175966