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GRAAL—modeling, prototyping and assessing a gamified responsible augmented assembly line system

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Abstract

Human errors are prevalent in manual assembly line statistics, but humans are still a necessary and numerous working force for assembly tasks. Since faster and shorter production cycles lead to higher mental efforts, an alternative to decrease the cognitive load and errors of manual assembly lines is using augmented reality (AR). AR increases system interaction and assists operators in the step-by-step of any tasks performed. Its use allows granular production data, enabling an increase in quality control and timely detection of assembly problems. However, AR alone is not enough to avoid demotivation and lack of engagement in the task, which is repetitive. Gamification can become an auxiliary resource to increase operators’ motivation and engagement. This paper presents a system model to integrate AR and gamification for a manual assembly line of printed circuit boards (PCBs) called GRAAL, used to develop an actual system for PCB assembly, which can guide operators using AR but also tracks down their efficiency and efficacy which is then used for gamifying their performance. A prototype system was implemented and assessed by 34 specialist respondents. TAM 3 (Technology Acceptance Model 3) Questionnaire was used to assess the system, which allowed us to find that GRAAL was well accepted (all scores were above the center of a Likert scale from 1 to 7 values), suggesting that GRAAL may be useful as an auxiliary resource to manual assembly lines. We conclude that modeling a system that merges AR and gamification is feasible but a non-trivial task in industry. The system’s features are dependent on conditioning factors such as Application Environment, Application Context, Application Audience, AR hardware, and gamification elements.

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Funding

This study was partially financed by the Coordination for the Improvement of Higher Education Personnel (CAPES - Brasil) - Finance Code 001 for the doctorate grant; the National Council for Scientific and Technological Development (CNPq - Brasil), for the DT2 productivity grant, number 306613/2022-0; Institutional Initiation Scholarship Program in Technological Development and Innovation (PIBITI - Brasil); and Santa Catarina State Research Support Foundation (FAPESC - Brasil) for partial funding from the laboratories LARVA-T.O. 2023TR284.

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Correspondence to Salvador S. Agati.

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Agati, S.S., Hounsell, M.d.S. & Paterno, A.S. GRAAL—modeling, prototyping and assessing a gamified responsible augmented assembly line system. Int J Adv Manuf Technol 132, 2735–2751 (2024). https://doi.org/10.1007/s00170-024-13460-8

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