Envisioning Desirements

Hoffman, Robert R.; McCloskey, Michael J.

doi:10.1109/mis.2013.108

Cited by 9 publications

(7 citation statements)

References 16 publications

(11 reference statements)

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“…Unfortunately, that collaborative framework is for "scientists, engineers, and acquisition personnel" -not warfighters (Bornstein 2015, 5). The operators of automated weapon systems should be active participants in the Autonomy Community of Interest, and weapons designers and operators should also incorporate the insight of contemporary warfighters into system functions and interfaces through proven techniques developed by cognitive systems engineers (Crandall, Klein, and Hoffman 2006;Hoffman and McCloskey 2013;Hoffman et al 2010).…”

Section: The Reality Of Automationmentioning

confidence: 99%

The myths and costs of autonomous weapon systems

Hoffman¹,

Cullen

Hawley

2016

Bulletin of the Atomic Scientists

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Section: The Reality Of Automationmentioning

confidence: 99%

The myths and costs of autonomous weapon systems

Hoffman¹,

Cullen

Hawley

2016

Bulletin of the Atomic Scientists

Self Cite

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“…Lesson Learnt 1: Understand your needs by developing a low-cost interim CE facility and run a test study. A major challenge we faced in our development project was to educate the contractor on our goals, and translate them into needs, requirements, and desirements (Hoffman and McCloskey 2013) for our development project, while staying within budget and schedule. Before doing so, a prior challenge was to educate ourselves as a team, made of faculty, research associates, postdoctoral researchers, and doctoral students, on what we really wanted -and needed -out of the development of a concurrent engineering laboratory.…”

Section: What Did Work In Our Projectmentioning

confidence: 99%

Lessons learnt in the development of a Concurrent Engineering Infrastructure

Golkar

2016

INCOSE International Symp

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We have recently completed the development of the Concurrent Engineering Design Laboratory at Skoltech, one of the first facilities of its kind in the Russian Federation. Concurrent engineering facilities are not built every day; sharing this experience is thus of high value for organizations seeking to develop a new facility from scratch. With our project, we acquired experience in developing concurrent engineering infrastructure, and learnt lessons along the way on how these facilities need to be architected, designed, and implemented, in order to effectively meet the needs and goals of the stakeholders, customers, and operators. The paper intends to describe this experience and formulates lessons learnt on what worked well and what could have worked better in our development project. This paper provides a useful contribution to this purpose, so that systems engineers may build upon our experience and build improved and more effective concurrent engineering laboratories.

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“…DNDW combines the structural elements of the dual node network (DNN) technical architecture for data fusion and resources management [11] with the cognitive engineering elements of decision ladders [12], [13], [14], [15] and decision wheels [16] , helping alleviate both perennial challenges in intelligence analysis as well as new "big data" challenges [2] through more fluid coordination of support technologies within organizational and cognitive decision-making processes.…”

Section: Dual Node Decis Ion Wheels Architecturementioning

confidence: 99%

“…However, decision ladders permit other interpretations of nodes which can be leveraged when implementin g an information system structure that most closely aligns with the information and decision-making needs of an organization [12], [13], [14], [15] . Two valuable concepts for interpreting the DNDW and extending it to a technical architecture are to: (1) think of the nodes in Figure 4 as roles in an organization, each of which requires unique cognitive work analysis; or (2) consider the levels in the ladder to represent organizational management structure .…”

Section: Toward a Dndw Technical Architecture Through Cognitive Enginmentioning

confidence: 99%

Combining cognitive engineering and information fusion architectures to build effective joint systems

et al. 2016

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The Dual Node Decision Wheels (DNDW) architecture concept was previously described as a novel approach toward integrating analytic and decision-making processes in joint human/automation systems in highly complex sociotechnical settings. In this paper, we extend the DNDW construct with a description of components in this framework, combining structures of the Dual Node Network (DNN) for Information Fusion and Resource Management with extensions on Rasmussen's Decision Ladder (DL) to provide guidance on constructing information systems that better serve decision-making support requirements. The DNN takes a component-centered approach to system design, decomposing each asset in terms of data inputs and outputs according to their roles and interactions in a fusion network. However, to ensure relevancy to and organizational fitment within command and control (C2) processes, principles from cognitive systems engineering emphasize that system design must take a human-centered systems view, integrating information needs and decision making requirements to drive the architecture design and capabilities of network assets. In the current work, we present an approach for structuring and assessing DNDW systems that uses a unique hybrid DNN top-down system design with a human-centered process design, combining DNN node decomposition with artifacts from cognitive analysis (i.e., system abstraction decomposition models, decision ladders) to provide work domain and task-level insights at different levels in an example intelligence, surveillance, and reconnaissance (ISR) system setting. This DNDW structure will ensure not only that the informatio n fusion technologies and processes are structured effectively, but that the resulting information products will align with the requirements of human decision makers and be adaptable to different work settings .

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Envisioning Desirements

Cited by 9 publications

References 16 publications

The myths and costs of autonomous weapon systems

The myths and costs of autonomous weapon systems

Lessons learnt in the development of a Concurrent Engineering Infrastructure

Combining cognitive engineering and information fusion architectures to build effective joint systems

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