Human Modeling: Controlling Misuse and Misinterpretation

Ziolek, Scott; Nebel, Kyle

doi:10.4271/2003-01-2178

Cited by 10 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Utilising anthropometric data is often a fundamental part of the process to achieve good fit between capabilities of humans and design of products or workplaces. However, industry practice for consideration of anthropometric diversity has shown to sometimes be based on the utilization of rough approaches, containing misconceptions of average people, and inadequate use of percentile based methods [24], [28], [29], [30]. Because humans vary a lot in size and shape, there is a considerable uncertainty whether the expected proportion of the target population is actually covered by the utilisation of such rough anthropometric approaches.…”

Section: Anthropometry and Anthropometric Datamentioning

confidence: 99%

Digital Human Modelling: Inclusive Design and the Ageing Population

Marshall

Brolin

Summerskill

et al. 2022

Internet of Things for Human-Centered Design

View full text Add to dashboard Cite

Digital Human Modelling (DHM) is a tool that allows humans to be modelled in 3-dimensional CAD. An almost infinite variety of humans can be modelled and families of so-called manikins can be created to act as virtual user groups, evaluating the interactions between humans and products, workplaces and environments. This chapter introduces the concept of DHM, its use of, and reliance on, anthropometric data from national populations, and showcases two exemplar tools in SAMMIE and IPS IMMA. Case studies are presented that highlight the advantages DHM can bring to understanding the requirements of designing for the ageing population; covering designing for the ageing workforce, the exploration of transport accessibility, and how users can generate representative manikin families to properly represent the diversity of people. DHM is demonstrated to be a powerful tool for practitioners aiming to understand and design for people, including older people within society.

show abstract

Section: Anthropometry and Anthropometric Datamentioning

confidence: 99%

Digital Human Modelling: Inclusive Design and the Ageing Population

Marshall

Brolin

Summerskill

et al. 2022

Internet of Things for Human-Centered Design

View full text Add to dashboard Cite

show abstract

“…According to Reason (1997), it is preferable to save knowledge physically, not just in the head of the user. Ziolek and Nebel (2003) highlight the importance of documentation in order to control misuse of the tools.…”

Section: Introductionmentioning

confidence: 98%

Guide and documentation system to support digital human modeling applications

Hanson

Blomé

Dukić

et al. 2006

International Journal of Industrial Ergonomics

View full text Add to dashboard Cite

“…Nevertheless, it is necessary to accurately posture the virtual manikin to effectively use DHM [9]. Some researchers have demonstrated that large errors can occur when these postures are compared to those adopted by workers performing the actual task in their genuine physical environment [10][11][12]. Moreover, manipulating the virtual manikin has been identified as a timeconsuming method for obtaining postures in work simulation [13] as it significantly depends on the assessor's abilities [14].…”

Section: Introductionmentioning

confidence: 99%