Identifying Time-Consuming Human Modelling Tool Activities

Blomé, Mikael; Hanson, Lars; Lämkull, Dan; Nielsen, Emma; Stam, Jenny

doi:10.4271/2006-01-2312

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…To date, little research has been done on how to design such tools for ergonomists involved in design, in a way similar to the study conducted by Rosson, Maass, and Kellogg (), who considered designers as “users” when developing software interfaces. However, some studies can be found in the literature that address some of the particular issues identified in this paper for individual tools, such as the graphic capabilities of some DHM (Lämkull, Hanson, & Örtengren, , ), time (Blomé, Hanson, Lämkull, Nielsen, & Stam, ), and report presentation (Laring, ).…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, there is also a growing need to address how these tools can best be applied to support practical use in industry. The work of Swedish researchers exemplifies this for DHMs (Blomé et al, 2006;Laring, 2006), but further research is needed as well for other VHF tools. Field studies and both qualitative and quantitative investigations may be helpful in understanding users' real-world experiences with these tools.…”

Section: Research and Development Prioritiesmentioning

confidence: 95%

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Ergonomists’ and Engineers’ Views on the Utility of Virtual Human Factors Tools

Pérez

Neumann

2015

Hum Ftrs & Erg Mfg Svc

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A qualitative research study was conducted through explorative workshops to better understand the experiences, perceptions, needs, and expectations of the users and potential users of virtual human factors (VHF) tools. Five VHF tools were presented to ergonomists, engineers, and managers who participated in four whole‐day interactive workshops: HF enabled predetermined motion time systems (PMTS), discrete event simulation (DES), complex and simple digital human models (DHM), and virtual reality (VR). Data were collected by note‐takers, digital audio recording, and written feedback. Identified characteristics shared by the tools were organized into 9 categories that act as a motivational or deterring factor for the use of the tool: time, cost, training, difficulty of use, trustworthiness, graphics, flexibility, usefulness, and report presentation. Other tool specific areas of improvement were also identified by participants to help developers improve these design instruments.

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Section: Discussionmentioning

confidence: 99%

Section: Research and Development Prioritiesmentioning

confidence: 95%

Ergonomists’ and Engineers’ Views on the Utility of Virtual Human Factors Tools

Pérez

Neumann

2015

Hum Ftrs & Erg Mfg Svc

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“…Most of the VHF research being conducted today focuses on the technical aspects of the tools, particularly on CDHM. Very few studies consider the user's perspective, with one of the few exemptions being Blomé's et al (2006), who studied how to improve efficiency by reducing time consuming tasks. To further evaluate and understand the needs of users and potential users of the VHFT, a series of questionnaires and interviews to engineers and ergonomist could be a valuable contribution.…”

Section: Research Opportunitiesmentioning

confidence: 99%

Virtual Human Factors Tools for Proactive Ergonomics: Qualitative Exploration And Method Development

Pérez¹

2021

Preprint

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“…Lastly, the number of RHMs evaluates the applicability of RHMs to ergonomic design and evaluation in a digital environment. The smaller the number of RHMs, the easier the application to ergonomic design and evaluation due to existing digital human modeling systems such as JACK ® require significant amount of time and effort in creating humanoids and generating postures of the humanoids (Blome et al, 2006).…”

Section: Performance Measuresmentioning

confidence: 99%

Development of the Boundary Zone Method for Generation of Representative Human Models

Jung

Kwon

You

2009

Proceedings of the Human Factors and Ergonomics Society Annual

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The present study developed a generation method of representative human models (RHMs) at a boundary zone which statistically accommodates a designated percentage of the target population. The boundary zone method proposed in the study consists of (1) identification of a boundary zone and (2) cluster analysis on cases within the identified boundary zone. The boundary zone of a designated accommodation percentage was formed by the normalized squared distance of each anthropometric case from the centroid of the target population. Cluster analysis was used to group homogenous cases within the boundary zone to reduce the number of the cases. A comprehensive evaluation under various combinations of anthropometric dimensions revealed that the average of multivariate accommodation percentages of the boundary zone method (91%) closer to the designated percentage (90%) than those of the existing generation methods (square method = 49%, circular method = 76%, and rectangular method = 96%).

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Identifying Time-Consuming Human Modelling Tool Activities

Cited by 3 publications

References 7 publications

Ergonomists’ and Engineers’ Views on the Utility of Virtual Human Factors Tools

Ergonomists’ and Engineers’ Views on the Utility of Virtual Human Factors Tools

Virtual Human Factors Tools for Proactive Ergonomics: Qualitative Exploration And Method Development

Development of the Boundary Zone Method for Generation of Representative Human Models

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