A User Study for the Evaluation of Adaptive Interaction Systems for Inclusive Industrial Workplaces

Abstract

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The INCLUSIVE System: A General Framework for Adaptive Industrial Automation

“…In particular, using the INCLUSIVE system provided a reduction of 36.9% of time needed to accomplish a task and of 37.5% of occurred mistakes, on average over 18 test subjects. A thorough analysis of the results of the tests for use case 1 is reported in [66].…”

“…As regards subjective metrics, after test sessions, participants were administered the system usability scale (SUS) questionnaire [63] and the worker satisfaction questionnaire [34]. The former is an established tool to assess the usability of a wide variety of products and services [65], while the latter was developed in the context of the INCLUSIVE project and is based on a model of worker satisfaction [34], [66]. This model constitutes a comprehensive end-user evaluation framework, accounting for the core system usability principles as well as physical and psychosocial aspects of the working environment, and, most importantly, the end-user evaluation of the INCLUSIVE HMI building modules (Adapt, Measure and Teach).…”

Smart and Sustainable Human-Centred Workstations for Operators with Disability in the Age of Industry 5.0: A Systematic Review

“…In attempt to eliminate such challenges, the authors [19] used mathematical modelling to appoint tasks based on the operator's contemporary skills profile and to amplify the work cell's adaptability to the user through sensors that can observe modifications in the user's behaviour. Similarly, each operator within Villani et al's study [51] is appointed an individual profile based on a pre-defined skills set that can be transposed towards adaptive interaction.…”

Digitalization and the Future of Employment: A Case Study on the Canadian Offshore Oil and Gas Drilling Occupations

“…Such technology adoption has been transforming existing workplaces into digitally-enabled smart workplaces filled with more machinery. It is anticipated that such technology adoption will result in the displacement of some jobs, creation of new job, reshaped skill profiles for existing jobs, and altered ways of working [1], [2]. Therefore, it is important to prepare both the existing and prospective workforce to minimize the negative socioeconomic impact of technology adoption and to enhance the economic benefits.…”

“…It is possible to implement immersive training environments to train employees [2], [3], [4], [5]. Such training can be supplemented by human-machine interfaces (HMIs) that adapt to operators' skills and capabilities [1], [6], [7], [8], [9]. However, designing and implementing new education programs, immersive workplace training systems, and adaptive HMIs require enormous effort and investment.…”