Ergonomists as designers: computational modelling and simulation of complex socio-technical systems

Davis, Matthew C.; Hughes, Helen; McKay, Alison; Robinson, Mark A.; Wal, C. Natalie van der

doi:10.1080/00140139.2019.1682186

Cited by 9 publications

(4 citation statements)

References 78 publications

(88 reference statements)

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“…For example, the ability for students to be located anywhere across the globe whilst studying provides an opportunity but also affords some challenges in ensuring that culturally specific issues are addressed. We also need to ensure that programme content keeps pace with the increasingly complex nature of the problems that ergonomists will be asked to address and the tools available to them to undertake such work (Thatcher et al, 2017;Davis, Hughes, McKay, Robinson & van der Wal, 2019). Todd (2018) raised the issue of low and middle income countries (LMICs) and the need for high quality programmes relevant to the country of application.…”

Section: Future Challenges and Opportunitiesmentioning

confidence: 99%

Tertiary education in ergonomics and human factors: quo vadis?

et al. 2019

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In 2019, the Human Factors and Ergonomics (HFE) discipline turned 70; to celebrate, an international group of academics and educators have reflected on the status of HFE tertiary education across the globe. This paper draws on presentations and discussions from the 20 th Triennial International Ergonomics Association (IEA) conference and considers the implications for HFE education programmes. Past, current, and future challenges are outlined and discussed with examples from different countries and programmes. This paper builds on a 2012 strategy (Dul et al., 2012), to strengthen the demand, and application, of the HFE discipline and profession. It provides a considered set of reflections, noting the range of structural issues and financial pressures within the tertiary education system that create challenges for the viability of specialist programmes such as HFE. A need exists for the broader profession to collaborate and share innovations in HFE programme development, to ensure sustainable HFE education programs.

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Section: Future Challenges and Opportunitiesmentioning

confidence: 99%

Tertiary education in ergonomics and human factors: quo vadis?

et al. 2019

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“…This represents an explicit study of how interactions shape work in dynamic, complex, and adaptive systems, a useful contribution to the literature to deepen our understanding of interactions. Our use of network analysis represents an additional analytic method to understand interactions in sociotechnical systems, in addition to computational modeling methods previously identified and applied, including simulation, system dynamics modeling, agent-based simulation, and hybrid approaches (e.g., Davis et al, 2020; Golightly et al, 2020; Gorman et al, 2019; Guastello, 2017; Hettinger et al, 2015; Holman et al, 2020). ENA, while developed in the learning science community, has proven useful in HFE research (Wooldridge et al, 2018; Wooldridge & Haefli, 2019).…”

Section: Discussionmentioning

confidence: 99%

Interactions in Sociotechnical Systems: Achieving Balance in the Use of an Augmented Reality Mobile Application

Wooldridge

Morgan²,

Ramadhani

et al. 2022

Hum Factors

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Objective We explore relationships between barriers and facilitators experienced by users to understand dynamic interactions in sociotechnical systems and improve a mobile phone-based augmented reality application that teaches users about the contents of a standardized pediatric code cart. Background Understanding interactions between performance obstacles and facilitators can provide guidance to (re)designing sociotechnical systems to improve system outcomes. Clinicians should know about contents and organization of code carts, and an augmented reality mobile application may improve that knowledge but changes the sociotechnical system in which they learn. Prior work identified barriers and facilitators impacting the use of this application—participants described dimensions together, indicating interactions that are explored in the current study. Method We conducted four focus groups (number of clinicians = 18) and two interviews with clinicians who used the application. We performed a secondary analysis of focus group data exploring interactions between previously identified barriers and facilitators to application use. We used epistemic network analysis to visualize these interactions. Results Work system barriers interacted with barriers and facilitators interacted with facilitators to amplify cumulative negative or positive impact, respectively. Facilitators balanced barriers, mitigating negative impact. Facilitators also exacerbated barriers, worsening negative impact. Conclusion Barriers and facilitators interact and can amplify, balance, and exacerbate each other—notably, positives are not always positive. To obtain desired outcomes, interactions must be further considered in sociotechnical system design, for example, the potential improvements to the application we identified.

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“…The process encapsulates the model into a shared simulation service, supports the distributed scheduling of the model service in the network, helps the user search the model, and customizes the weight of the service quality indicator. The importance of computational modeling and simulation is highlighted by describing the application of computational modeling to teamwork and crowd behavior in different transportation hubs [8].…”

Section: A Literature On Modeling and Simulation Of Complex Systemsmentioning

confidence: 99%

Multiagent-Based Modeling and Simulation of a Coal Multimodal Transport System

2022

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With the change in coal supply and demand, the dynamics of multiple transit nodes and the connection between different transportation modes make the Coal Multimodal Transportation System (CMTS) more complicated in the long-distance transportation of coal. Therefore, it is necessary to analyze the multimodal transportation nodes, build a coal multimodal transportation model, measure the network throughput through simulation experiments, and identify system bottlenecks. The CMTS is a complex nonlinear dynamic system with many participants with complex and uncertain links. Different transportation modes, operation links, and connection processes will affect system performance, and modeling and simulation technology effectively study complex dynamic systems. This paper takes the CMTS as the research object, uses agent-based modeling methods and Witness simulation software to analyze the composition and operation mechanism of CMTS, establishes the multiagent model of CMTS, and validates the model by a Witness simulation experiment of northern coal shipped to south. The simulation results indicate the capacity of the transport route and resource utilization of nodes in CMTS in case of different demand growth rates in the future. Based on the multiagent model and Witness simulation results, this paper provides practical support for constructing and applying the multimodal transport system model library and provides the basis for decision-making for the CMTS plan.

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Ergonomists as designers: computational modelling and simulation of complex socio-technical systems

Cited by 9 publications

References 78 publications

Tertiary education in ergonomics and human factors: quo vadis?

Tertiary education in ergonomics and human factors: quo vadis?

Interactions in Sociotechnical Systems: Achieving Balance in the Use of an Augmented Reality Mobile Application

Multiagent-Based Modeling and Simulation of a Coal Multimodal Transport System

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