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Articles 1 - 7 of 7
Full-Text Articles in Systems Engineering
Improving Coalition Planning By Making Plans Alive, Jitu Patel, Michael C. Dorneich, David Mott, Ali Bahrami, Cheryl Giammanco
Improving Coalition Planning By Making Plans Alive, Jitu Patel, Michael C. Dorneich, David Mott, Ali Bahrami, Cheryl Giammanco
Michael C. Dorneich
The Collaborative Planning Model (CPM) supports human planners in managing planning information and facilitating automated reasoning. It aims to make plans 'alive' by digitizing planning concepts to facilitate their dynamic use, modification, dissemination, and reuse.
Evaluation Of A Shared Representation To Support Collaborative, Distributed, Coalition, Multilevel Planning, Michael C. Dorneich, David Mott, Ali Bahrami, Jitu Patel, Cheryl Giammanco
Evaluation Of A Shared Representation To Support Collaborative, Distributed, Coalition, Multilevel Planning, Michael C. Dorneich, David Mott, Ali Bahrami, Jitu Patel, Cheryl Giammanco
Michael C. Dorneich
This paper presents the extension and evaluation of a formal representation that enables planners at different levels of command, and in different functional area, to jointly share, develop, and modify plans. Planning has moved from a co-located, concurrent, small team activity to an activity that involves a large, culturally diverse, hierarchical, globally-distributed team. However, significant benefits of distributed planning can only come if the team is able to communicate and maintain a shared understanding of the commander’s intent, objectives, resources and constraints, as well as decisions made and justifications for planning options chosen or alternatives rejected. Effective automated support must …
The Crew Workload Manager: An Open-Loop Adaptive System Design For Next Generation Flight Decks, Michael C. Dorneich, Bretislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiri Vasek, Stephen D. Whitlow, Martijin Beekhuyzen
The Crew Workload Manager: An Open-Loop Adaptive System Design For Next Generation Flight Decks, Michael C. Dorneich, Bretislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiri Vasek, Stephen D. Whitlow, Martijin Beekhuyzen
Michael C. Dorneich
This paper presents an open loop adaptive system intended to address workload imbalances in future, high-workload flight decks. Air traffic in Europe is expected to more than double by 2020. New technologies being proposed will significantly add to pilot roles and responsibilities, and has the potential to add further periods of high workload to pilot operations. The CAMMI (Cognitive Adaptive Man Machine Interface) program addresses human factors priorities in the aviation domain by developing concepts that balance operator workload, support added future operator roles and responsibilities and resulting new task and information requirements, while allowing operators to focus on the …
A Conceptual Framework To Support A Multi-Level Planning Capability, Jitu Patel, Michael C. Dorneich, David Mott, Ali Bahrami, Cheryl Giammanco
A Conceptual Framework To Support A Multi-Level Planning Capability, Jitu Patel, Michael C. Dorneich, David Mott, Ali Bahrami, Cheryl Giammanco
Michael C. Dorneich
Over the years, military planning has attracted a lot of attention by researchers with the aim of providing automated planning support tools. There have been some successes (e.g., DART system which was used for movement during Gulf war) however, to-date, planning still remains a very human activity with little or no automated support tools. Why? A possible reason for this predicament is that researchers have not fully conceptualized the problem. For instance, a common approach has been to consider planning as a single process or a homogenous set of problems to be solved. Unfortunately, military planning is not a single …
The Combat Causal Reasoner Approach To Robotic Control, Michael C. Dorneich, Stephen D. Whitlow, Eric Olson, David Anhalt, Tracy Monteith
The Combat Causal Reasoner Approach To Robotic Control, Michael C. Dorneich, Stephen D. Whitlow, Eric Olson, David Anhalt, Tracy Monteith
Michael C. Dorneich
This paper describes an approach to autonomous robotic control that enables cooperative, tactically correct robotic behaviors that human teammates understand. For maximum effectiveness, unmanned systems (UMSs) must be able to support dismounted warfighters in high-intensity, high-operational-tempo (OPTEMPO) situations without becoming a source of distraction. Current models of robotic control require overt human tasking, limiting robotics to low OPTEMPO tasks. The Combat Causal Reasoner (CCR) proposes to change the paradigm of UMS autonomy by enabling UMSs to cooperate with humans without expecting the UMS to perceive the environment as a human would. CCR uses a Playbook approach to generate responses that …
Deriving Cursor Control Device Expectations For The Orion Crew Exploration Vehicle, Michael C. Dorneich, Jeff A. Lancaster, Christopher J. Hambin, Olu Olofinboba, Robert E. Demers
Deriving Cursor Control Device Expectations For The Orion Crew Exploration Vehicle, Michael C. Dorneich, Jeff A. Lancaster, Christopher J. Hambin, Olu Olofinboba, Robert E. Demers
Michael C. Dorneich
A unique challenge for the Orion Crew Exploration Vehicle is the need for a novel cursor control device (CCD) that allows the crew to interact with display formats while seated and restrained. Display formats will contain "controllable elements" that will be used for input by astronauts, and will most likely not be laid out in a rectilinear grid. A four-way "caged" castle switch on the CCD was designed to travel only to controllable elements toward decreasing erroneous cursor movements. The ability of the four-way castle to intuitively navigate the cursor from a user perspective is a vital consideration. A cursor …
Visualising Rationale In The Cpm, David H. Mott, Michael C. Dorneich
Visualising Rationale In The Cpm, David H. Mott, Michael C. Dorneich
Michael C. Dorneich
Rationale is being explored by the ITA in planning, for shared understanding of plans, and for capturing dependencies between assumptions/decisions and parts of the plan. Informal rationale captured during evaluation of the Collaborative Planning Model has been explored in terms of alternative visual representations and questions that these raise.