Augusto de Sousa Coelho is an Associate Professor at the University of Aveiro, School of Design, Management, and Production Technologies (Northern Aveiro), where he coordinates the Bachelor’s Degree in Product and Technology Design. He teaches and supervises in the areas of Design and Aerospace Engineering. His research focuses on human-centred and UX design, with publications in books, journals, and international conferences, and he has participated in several national research projects. His career combines academia and professional practice, including consultancy at the Portuguese Design Centre and collaborations with national and international companies. In recent years, his work has focused on healthcare design (emergency equipment and ambulances) and the circular economy (recycled materials, urban furniture, and technical and safety footwear).
EDUCATION
Augusto de Sousa Coelho graduated in Product Design. He also has an MBA in Design, Materials, and Product Management. Additionally, he completed Advanced Studies in Design and Product Development. He is also a Specialist in the Field: Design – Specialisation: Product Design and Technology
RESEARCH, TEACHING, or OTHER INTERESTS
Multidisciplinary, Arts and Humanities, Aerospace Engineering, Automotive Engineering
Exploring the Efficacy of a Set of Smart Devices for Postural Awareness for Workers in an Industrial Context: Protocol for a Single-Subject Experimental Design Mário Lopes, Susana Lopes, Mariana Monteiro, Mário Rodrigues, Aureliano Fertuzinhos, et al. Jmir Research Protocols, 2023 Background In manufacturing industries, tasks requiring poor posture, high repetition, and long duration commonly induce fatigue and lead to an increased risk of work-related musculoskeletal disorders. Smart devices assessing biomechanics and providing feedback to the worker for correction may be a successful way to increase postural awareness, reducing fatigue, and work-related musculoskeletal disorders. However, evidence in industrial settings is lacking. Objective This study protocol aims to explore the efficacy of a set of smart devices to detect malposture and increase postural awareness, reducing fatigue, and musculoskeletal disorders. Methods A longitudinal single-subject experimental design following the ABAB sequence will be developed in a manufacturing industry real context with 5 workers. A repetitive task of screw tightening of 5 screws in a standing position into a piece placed horizontally was selected. Workers will be assessed in 4 moments per shift (10 minutes after the beginning of the shift, 10 minutes before and after the break, and 10 minutes before the end of the shift) in 5 nonconsecutive days. The primary outcomes are fatigue, assessed by electromyography, and musculoskeletal symptoms assessed by the Nordic Musculoskeletal Questionnaire. Secondary outcomes include perceived effort (Borg perceived exertion scale); range of motion of the main joints in the upper body, speed, acceleration, and deceleration assessed by motion analysis; risk stratification of range of motion; and cycle duration in minutes. Structured visual analysis techniques will be conducted to observe the effects of the intervention. Results for each variable of interest will be compared among the different time points of the work shift and longitudinally considering each assessment day as a time point. Results Enrollment for the study will start in April 2023. Results are expected to be available still in the first semester of 2023. It is expected that the use of the smart system will reduce malposture, fatigue, and consequently, work-related musculoskeletal pain and disorders. Conclusions This proposed study will explore a strategy to increase postural awareness in industrial manufacturing workers who do repetitive tasks, using smart wearables that provide real-time feedback about biomechanics. Results would showcase a novel approach for improving self-awareness of risk for work-related musculoskeletal disorders for these workers providing an evidence base support for the use of such devices. International Registered Report Identifier (IRRID) PRR1-10.2196/43637
Aprend.E-Electronic integrated system for learning and training From Author to Reader Challenges for the Digital Content Chain Proceedings of the 9th Iccc International Conference on Electronic Publishing Elpub 2005, 2005