Digital Human Modeling in Design¶

Status: emerging
Last updated: 2026-05-31
Sources: 9781119636113.Ch29.Pdf
Tags: [digital-human-modeling, anthropometry, ergonomic-assessment, virtual-prototyping, design-evaluation]

Summary¶

Digital human modeling (DHM) places a digital representation of the human within a virtual environment to predict ergonomic and safety outcomes, allowing designers to evaluate physical and cognitive demands before building physical prototypes (Duffy, 2021). The field has matured over the past decade into specialty areas with their own publications, supported by software such as Siemens-Jack and projects including the military's Virtual Soldier. The chapter organises DHM around the physical aspects of work and the assessment of cognitive-based tasks, and reviews methods of evaluation and analysis.

Body¶

Context¶

Duffy (2021), in his handbook chapter on digital human modeling (DHM) in design, examines how a digital representation of the human placed within a virtual environment can predict ergonomic and safety outcomes, letting designers evaluate physical and cognitive demands before building physical prototypes. He organises DHM around the physical aspects of work and the assessment of cognitive-based tasks, and reviews methods of evaluation and analysis. Within this knowledge base the article is the simulation-and-prototyping node of the physical-ergonomics strand: it consumes the body data of 3D Anthropometry, applies it to the evaluation concerns of Workplace Design, and sits beside the broader cognitive-and-physical model-building of Human Performance Modeling and the immersive analogue of Extended Reality Environments.

Key Points¶

Digital human modeling has grown into a distinct field, developing to the point of having specialty areas that publish separately, a trend seen in other maturing disciplines. Duffy uses a bibliometric analysis, including social-media measures of interest in the "digital human" topic, to map the field's reach, which overlaps substantially with human factors and ergonomics while developing themes of its own (PDF pp. 1, 3, orig. pp. 761, 763).

For the practising engineer, DHM offers a way to reduce reliance on physical prototypes by predicting safety and ergonomic outcomes in a virtual environment. Application areas include aviation models, manufacturing and service industries, virtual ergonomic assessment, production design, biomechanical models, and anatomical models (PDF pp. 1, 3, orig. pp. 761, 763), with software developers such as Siemens-Jack (PDF p. 2, orig. p. 762) and military efforts such as the Virtual Soldier project (PDF p. 5, orig. p. 765) among the drivers.

Duffy divides modeling fundamentals into two domains: the physical aspects of work and the assessment of cognitive-based tasks. Posture and lift assessment and muscle activity feature among the physical evaluations, connecting DHM to established ergonomic assessment methods and mirroring the broader split in human factors between physical and cognitive ergonomics (PDF pp. 5–6, orig. pp. 765–766).

Conclusion¶

Duffy (2021) concludes that DHM offers substantial design value by lessening the need for physical prototyping, but its adoption depends as much on training as on tooling: he cites Chaffin's observation that few graduating engineers have even a first course in the area (PDF p. 1, orig. p. 761), identifying a gap between DHM's value and the preparation of those who would apply it.

References¶

Duffy, V.G. (2021) 'Digital Human Modeling in Design', in Salvendy, G. & Karwowski, W. (eds.) Handbook of Human Factors and Ergonomics. 5th edn. Hoboken, NJ: John Wiley & Sons. duffy2021digitalhuman

Open Questions¶

How can DHM tools integrate physical and cognitive task assessment within a single design workflow?
What training is needed to close the gap Duffy (2021) identifies between DHM's design value and engineers' preparation to use it?