Digital Human Modeling Research and Development User Needs Panel

Lockett, John; Assmann, Ernst; Green, Rush; Reed, Matthew P.; Raschke, Ulrich; Verriest, Jean-Pierre

doi:10.4271/2005-01-2745

Cited by 15 publications

(6 citation statements)

References 1 publication

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“…Some virtual HF tools based in heavy industry (e.g. Siemen's Jack, SantosHuman's Santos) are design stage capable but need specialised training to use, support and interpret the findings (Lockett et al, 2005). Similar virtual tools are less common for light assembly, where there are smaller task loads and fine movement dexterity is necessary to complete assembly tasks.…”

Section: Human Factors Needs Measurement and Reportingmentioning

confidence: 99%

“…Jack, RAMSIS) (Perez and Neumann, 2015). The use of VHF tools is limited in industry due to their operating costs and the need for skilled individuals to operate the tool and interpret the results (Lockett, et al, 2005). Virtual, or design level HF tools are therefore needed that are, among other criteria, cost effective, easy to use and improve the connection between HF specialists and engineers (Wells et al, 2007;Village, et al, 2014b;Perez and Neumann, 2015).The development of a cost effective virtual method is needed for HF in general and especially for light assembly.…”

Section: Development Of Worktation Level Metricsmentioning

confidence: 99%

“…The organization assessment tool aside, these tools provided information predominantly for production system design in the case organization. More work is needed in the organization though to develop tools that provide information that contributes to product design and the (Lockett, et al, 2005;Lämkull et al, 2009;Perez and Neumann, 2015).…”

Section: Hf Applicationmentioning

confidence: 99%

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Developing human factors metrics and tools to support design and management of production

Greig¹

2023

Preprint

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This dissertation takes an exploratory look at the role of human factors (HF) metrics within an electronics manufacturing organization by focussing on three objectives: 1) determining company stakeholder views of HF metrics, metrics development and HF application, 2) developing a workstation level HF assessment tool for light assembly work, and 3) creating a tool that reports the level of HF integration and maturity in an organization. Mixed methods were used in an action research framework. Research at the case organization was predominantly qualitative and included field notes, audio recordings, and company documents. Identified gaps between engineering and HF metrics were due to HF metrics focussed more on health and safety measures and activities being completed, gaps in the understanding of HF contributions, and the need for new HF tools to generate reporting measures. Five identified themes affecting HF metrics development included 1) knowledge of engineer processes and of HF principles, 2) connection of metrics to the organization, 3) support of the organization and of the information to the organization, 4) resource availability and limitations, and 5) communication format of metrics information. Collaborative user-centered development of a workstation efficiency evaluator tool helped determine data of interest and effective communication of output variables for users. Design stage inputs create outputs that include HF and system information. The tool performed well in a comparison to an observation-based analysis and also demonstrated tolerance to input errors on workstation outcomes. The developed Human Factors Integration Tool assesses HF maturity across organizational functions. Face and content validity of the tool were tested in field testing and workshops. Participants communicated a need for the tool and its contents. Industry stakeholders found the consensus-based tool helped to establish the status of HF in the organization, plan projects to further develop HF capabilities, and initiate discussions on HF for performance and well-being. The created tools demonstrated approaches to the development of future HF tools. These dissertation findings illustrate the need for more HF metric work, including developing HF measures that contribute to organization metrics, and that the development of HF measures and processes need HF considerations in their development.

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Section: Human Factors Needs Measurement and Reportingmentioning

confidence: 99%

Section: Development Of Worktation Level Metricsmentioning

confidence: 99%

Section: Hf Applicationmentioning

confidence: 99%

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Developing human factors metrics and tools to support design and management of production

Greig¹

2023

Preprint

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“…Within industrial engineering, digital human modelling (DHM) tools, linked with programs for CAD, are commonly used to simulate and assess the human work in the early planning of products and production. Three-dimensional digital humans, socalled computer manikins, that represent workers, allow the study of interaction between humans and product/production environment by ergonomic risk assessments and anthropometric analyses of fit-reach and viewing options [1,2]. Virtual testing of alternative design proposals allows a faster and more cost-efficient design process, as well as the ability to make proactive ergonomics decisions which are important in the prevention of work-related musculoskeletal disorder (WMSDs) [3,4].…”

Section: Introductionmentioning

confidence: 99%

A possible revival of population-representing digital human manikins in static work situations – exemplified through an evaluation of a prototype console for robotic surgery

Rhén

Fan

Kjellman

et al. 2021

WOR

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BACKGROUND: In the 90s, digital human manikins (DHMs) were introduced in planning of workstations, by static or semi-static simulations. Modern DHMs can simulate dynamic work and offer a rapid way for a virtual pre-production ergonomic evaluation. Work-related musculoskeletal disorders may affect surgical performance and patient safety. A prototype of an open console, which is contrary to the conventional closed consoles and may be seen as a representative for a new generation, has been designed to reduce workload for robotic surgery surgeons. OBJECTIVE: The aim of this project was to test a new DHM tool with improved usability to evaluate the ergonomics of a console of a robotic surgical system in a pre-production stage. METHODS: The DHM tool IMMA was used together with a 3D model of the prototype console. Twelve manikins who represented females and males from two national populations were introduced. Manikin-console distances, after console adjustments per manikin, were compared with a US checklist and Swedish standard for VDU work. RESULTS: The DHM tool was useful for this case, but the distances of the checklist and the standard were needed to be obtained “manually”. The automatic functions of the DHM worked smoothly but were not optimized for VDU work. The prototype fulfilled most, but not all, of the ergonomic criteria of the checklist and the standard. CONCLUSIONS: There is room for improvements of the adjustable ranges of the console prototype. DHMs may facilitate rapid pre-production evaluation of workstations for static work; if ergonomic assessment models for VDU work are built-in, there may be a revival of DHMs in static work situations.

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“…Locket et al (2005) pointed out that ergonomic human modeling tools were also used for visualization. The visualization provided information about body posture, reach ability, field of view and clearances which served as a basis for ergonomics evaluation and decision making (Wegner et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Realistic Elbow Flesh Deformation Based on Anthropometrical Data for Ergonomics Modeling

Hermawati

Marshall

2009

Digital Human Modeling

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Abstract. The human model for ergonomic simulation has improved in terms of its reliability and appearance and yet there seems to be less attention paid to create a realistic and accurate flesh deformation around the joint. This study, a part of ongoing research, proposes a combination of manual and automatic (3D body scanner) measurements to create a database for flesh deformation prediction i.e. flesh deformation area and cross section changes, around the elbow joint. The database consists of two race groups i.e., Caucasian and Asian (23 subjects, 11 males and 12 females), which were carefully chosen to represent a variety of height and body type. The prediction results for both flesh deformation area and cross section changes are discussed as well as their relevance for the next stage of the study.

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Digital Human Modeling Research and Development User Needs Panel

Cited by 15 publications

References 1 publication

Developing human factors metrics and tools to support design and management of production

Developing human factors metrics and tools to support design and management of production

A possible revival of population-representing digital human manikins in static work situations – exemplified through an evaluation of a prototype console for robotic surgery

Realistic Elbow Flesh Deformation Based on Anthropometrical Data for Ergonomics Modeling

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