Weitere Kapitel dieses Buchs durch Wischen aufrufen
Nowadays, different technologies and software for ergonomics evaluations are gaining greater relevance in the field of ergonomics and production development. The tools allow users such as ergonomists and engineers to perform assessments of ergonomic conditions of work, both related to work simulated in digital human modelling (DHM) tools or based on recordings of work performed by real operators. Regardless of approach, there are many dimensions of data that needs to be processed and presented to the users.
The users may have a range of different expectations and purposes from reading the data. Examples of situations are to: judge and compare different design solutions; analyse data in relation to anthropometric differences among subjects; investigate different body regions; assess data based on different time perspectives; and to perform assessments according to different types of ergonomics evaluation methods. The range of different expectations and purposes from reading the data increases the complexity of creating an interface that considers all the necessary tools and functions that the users require, while at the same time offer high usability.
This paper focuses on the structural design of a flexible and intuitive interface for an ergonomics evaluation software that possesses the required tools and functions to analyse work situations from different perspectives, where the data input can be either from DHM tools or from real operators while performing work.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Sultan-Taïeb H, Parent-Lamarche A, Gaillard A, Nicolakakis N, Hong QN, Vezina M, Coulibaly Y, Vézina N, Berthelette D (2017) Economic evaluations of ergonomic interventions preventing work-related musculoskeletal disorders: a systematic review of organizational-level interventions. BMC Public Health 17(1):935 CrossRef
McAtamney L, Nigel Corlett E (1993) RULA: a survey method for the investigation of work-related upper limb disorders. Appl Ergon 24(2):91–99 CrossRef
Eliasson K, Palm P, Nyman T, Forsman M (2017) Inter- and intra- observer reliability of risk assessment of repetitive work without an explicit method. Appl Ergon 62:1–8 CrossRef
Tang A, Lu K, Wang Y, Huang J, Li H (2015) A real-time hand posture recognition system using deep neural networks. ACM Trans Intell Syst Technol 9(4): 23
Lin JH, Kirlik A, Xu X (2018) New technologies in human factors and ergonomics research and practice. Appl Ergon 66:179–181 CrossRef
Jayaram U, Jayaram S, Shaikh I, Kim Y, Palmer C (2006) Introducing quantitative analysis methods into virtual environments for real-time and continuous ergonomic evaluations. Comput Ind 57(3):283–296 CrossRef
Drury CG (2015) Human factors/ergonomics implications of big data analytics: chartered institute of ergonomics and human factors annual lecture. Ergonomics 58(5):659–673 CrossRef
Demirel HO, Duffy VG (2017) Applications of digital human modeling in industry. In: Digital human modeling, pp 824–832
Lind C, Forsman M, Rose L (2017) Development and evaluation of RAMP I : a practitioner’s tool for screening of musculoskeletal disorder risk factors in manual handling. Int J Occup Safety Ergon: 1–16
Hignett S, McAtamney L (2000) Rapid entire body assessment (REBA). Appl Ergon 31(2):201–205 CrossRef
Schaub KG, Mühlstedt J, Illman B, Bauer S, Fritzsche L, Wagner T, Bullinger-Hoffman A (2012) Ergonomic assessment of automotive assembly tasks with digital human modelling and the “ergonomics assessment worksheet” (EAWS). Int J Hum Factors Modell Simul 3(3–4):398–426 CrossRef
- Proposal of an Intuitive Interface Structure for Ergonomics Evaluation Software
Aitor Iriondo Pascual
Pamela Ruiz Castro
Neuer Inhalt/© ITandMEDIA, Product Lifecycle Management/© Eisenhans | vege | Fotolia