Towards a generalizable aiding‐training continuum for human performance enhancement

2018

Systems

With the growing complexity of environments in which systems are expected to operate, adaptive human-machine teaming (HMT) has emerged as a key area of research. While human teams have been extensively studied in the psychological and training literature, and agent teams have been investigated in the artificial intelligence research community, the commitment to research in HMT is relatively new and fueled by several technological advances such as electrophysiological sensors, cognitive modeling, machine learning, and adaptive/adaptable human-machine systems. This paper presents an architectural framework for investigating HMT options in various simulated operational contexts including responding to systemic failures and external disruptions. The paper specifically discusses new and novel roles for machines made possible by new technology and offers key insights into adaptive human-machine teams. Landed aircraft perimeter security is used as an illustrative example of an adaptive cyber-physical-human system (CPHS). This example is used to illuminate the use of the HMT framework in identifying the different human and machine roles involved in this scenario. The framework is domain-independent and can be applied to both defense and civilian adaptive HMT. The paper concludes with recommendations for advancing the state-of-the-art in HMT.

Section: Adaptive Human-machine Teamingmentioning

confidence: 99%

Architectural Framework for Exploring Adaptive Human-Machine Teaming Options in Simulated Dynamic Environments

2018

Systems

“…Technical storytelling in virtual worlds creates a social experience in which culture and language harmonize, and technology and the creative process are brought together under a common rubric. Principles from cognitive and social science influence the behaviors of individual characters and teams as they work with and within complex systems [Madni, 2010[Madni, , 2011. Technical stories also bring system elements and viewpoints together allowing stakeholders to develop a design understanding of the system.…”

Section: Narrative-enabled Mapping Of System Model Artifacts To Virtumentioning

confidence: 99%

“…Integrating humans with and within complex systems has become a central issue as systems are becoming increasingly more complex adaptive and resilient [Madni, , ]. In this regard, allowing all stakeholders to “experience” how the system behaves in virtual worlds can potentially enhance their understanding and allow them to make timely and meaningful contributions.…”

Section: Narrative‐enabled Mapping Of System Model Artifacts To Virtumentioning

confidence: 99%

Expanding Stakeholder Participation in Upfront System Engineering through Storytelling in Virtual Worlds

2014

Systems Engineering

Self Cite

Over the last decade, systems engineers have successfully created system modeling languages to communicate with other systems engineers. However, the ability to communicate an evolving system concept and design with stakeholders who are nonengineers remains an elusive goal. In large part, this inability stems from the latter having to understand complex diagrams and equations, and learn new notations employed by systems modeling languages. The problem is further exacerbated by the fact that systems today have to frequently adapt to changing operational and regulatory requirements. Thus, to effectively communicate concepts of operation (CONOPS) and evolving system design to those outside the engineering discipline requires a different approach. This paper presents an innovative approach that employs technical storytelling methods to contextualize and map systems engineering (SE) artifacts represented in SysML to virtual worlds within which various storylines can play out. This capability is intended to improve comprehensibility and transparency of CONOPS and system designs when it comes to communicating with the broader stakeholder community. At the heart of this approach is a virtual world enabled by a 3D game engine, and a mapping capability that allows translation of SE artifacts and interdependencies to virtual world entities and interactions. The key idea behind this integrated capability is to allow the broader stakeholder community to collaborate effectively on key decisions during upfront SE. The benefits of this approach are greater stakeholder satisfaction, avoidance of rework, and more responsive system design.

“…Another key area that has been investigated is human performance enhancement through aiding and training (Madni, 2011b). With respect to HMI, models and simulations allow humans to familiarize themselves with system controls and system behaviors by interacting with the system without potentially causing harm to the system.…”

Section: State Of Practice In Mbse Of Hmimentioning

confidence: 99%

Analyzing Human Machine Interaction and Interfaces through Model Based System Engineering Practices

Orellana

INCOSE International Symp

2012

Abstract.As systems continue to grow in scale and complexity, human machine interactions and the human machine interface (HMI) become a crucial consideration in overall system design. In complex systems, humans are often part of the complex system as opposed to being just users of the system. The human mental model, work instructions, and procedures are key attributes that a system architect needs to analyze to ensure the success of the overall human-machine system. Model Based System Engineering (MBSE) techniques potentially offer new ways for system architects and engineers to conceptualize and analyze HMI requirements and use the findings to specify its design.