Bridging the Gap: Exploring Interactions Between Digital Human Models and Cognitive Models

Feyen, Robert

doi:10.1007/978-3-540-73321-8_44

Cited by 13 publications

(8 citation statements)

References 9 publications

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“…In response to new or significant information from the environment, the human body orients toward a stimulus, and this body orientation reaction could arrest ongoing activity (Mulder, 1979). Feyer (2007) suggested building up a human performance model that included the interactions between current physical and cognitive models. Body behaviors (activities), no matter whether they are directly involved in performing the task or not, are influences on the interactions and have an influence on human performance (Feyer, 2007).…”

Section: Introductionmentioning

confidence: 99%

Body Posture as an Indicator of Workload in Mental Work

Qiu

Helbig

2012

Hum Factors

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For this article, the relationships between body posture and workload for four mental tasks simulated on a computer were studied. Background: Human behaviors are observable during work and are related to human mental activities. A novel supplementary method, based on human behavior but not directly related to task execution, is proposed to assess the workload in mental work situations. Method: Body posture was quantitatively analyzed with the use of a video-based analysis system. The distance between a participant's head and the display, the distance between the shoulder and the hip, and the trunk angle of the shoulder and the hip with respect to the gravitational field were calculated. Results: The various tasks affected the distance between the head and the display (p < .001) and the trunk angle (p < .001). The distance between the head and the display decreased with increasing workload (p = .007). Conclusion: These results indicate that body posture can be used as an indicator for overall workload assessment. Application: The proposed method of workload may be useful for real-time observations or the monitoring of mental states in mental work environments (e.g., rail traffic dispatching, air traffic control).

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Section: Introductionmentioning

confidence: 99%

Body Posture as an Indicator of Workload in Mental Work

Qiu

Helbig

2012

Hum Factors

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“…A view already seen in the DHM society is to stop dividing human factors into "neck up" and "neck down" and instead view the human as a whole [7]. This view finds much support in the work on social embodiment by Lawrence Barsalou and colleagues.…”

Section: Cognitive Modelling In Dhmmentioning

confidence: 99%

Incorporating Cognitive Aspects in Digital Human Modeling

Thorvald

Högberg

Case

2009

Digital Human Modeling

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Abstract.To build software which, at the press of a button, can tell you what cognition related hazards there are within an environment or a task, is probably well into the future if it is possible at all. However, incorporating existing tools such as task analysis tools, interface design guidelines and information about general cognitive limitations in humans, could allow for greater evaluative options for cognitive ergonomics. The paper will discuss previous approaches on the subject and suggest adding design and evaluative guiding in DHM that will help a user with little to no knowledge of cognitive science, design and evaluate a human-product interaction scenario.

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“…It has been widely acknowledged that an increasing number of researchers are calling for a more unified view of human cognition in the fields of Human Factors and Ergonomics (hereafter abbreviated HF&E) (Feyen, 2007;Karltun, Karltun, Berglund, & Eklund, 2017;Marras & Hancock, 2014;Thorvald, Högberg, & Case, 2012). However, many authors, while claiming to be champions for a more systems view of human cognition (e.g.…”

Section: Introductionmentioning

confidence: 98%

Manufacturing in the wild – viewing human-based assembly through the lens of distributed cognition

Lindblom

Thorvald

2017

Production & Manufacturing Research

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The interdisciplinary field of cognitive science has been and is becoming increasingly central within human factors and ergonomics (HF&E) and, since at the same time, there has long been a call for a more systems perspective in the area with a somewhat wider unit of analysis. This paper argues that the theoretical framework of distributed cognition would greatly benefit the application of HF&E to manufacturing and would offer a more holistic understanding of the interactions between different entities within a greater context, including the social, cultural and materialistic. We aim to characterize and analyse manufacturing as a complex socio-technical system from a distributed cognition perspective; focusing on the use, mediation and integration of different forms of representations, tools and artefacts in this domain. We present illustrative examples from authentic manual assembly, showing the cognitively distributed nature of the work, ranging from scaffolding strategies of the individual worker to the emergent properties of a whole assembly line. The paper further proposes and provides benefits of using a distributed cognition framework as a novel approach in the toolbox for the HF&E discipline, where it may have been found before, but the application to manufacturing has been absent.

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Bridging the Gap: Exploring Interactions Between Digital Human Models and Cognitive Models

Cited by 13 publications

References 9 publications

Body Posture as an Indicator of Workload in Mental Work

Body Posture as an Indicator of Workload in Mental Work

Incorporating Cognitive Aspects in Digital Human Modeling

Manufacturing in the wild – viewing human-based assembly through the lens of distributed cognition

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