SBIR-STTR Award

Evidence-Based, User-Centered Design Process for Improvement of the Utility of the Surface Electronic Warfare Display Suit
Award last edited on: 11/20/2018

Sponsored Program
STTR
Awarding Agency
DOD : Navy
Total Award Amount
$1,079,873
Award Phase
2
Solicitation Topic Code
N11A-T031
Principal Investigator
Harvey Smallman

Company Information

Pacific Science & Engineering Group (AKA: PSE~Pacific Science and Engineering Group)

9180 Brown Deer Road
San Diego, CA 92121
   (858) 535-1661
   info@pacific-science.com
   www.pacific-science.com

Research Institution

Old Dominion University

Phase I

Contract Number: N00014-11-M-0295
Start Date: 6/27/2011    Completed: 4/27/2012
Phase I year
2011
Phase I Amount
$79,903
Unmanned vehicles (UVs) are transforming the submarine 0x8D s collection and communication capabilities. However, the user tasks needed to employ UVs are not seamlessly integrated into existing submarine tasks and personnel assignments. Further, submarines will have to flexibly coordinate UV employment with multiple partners. These complex missions will need support for multi-participant, multi-perspective decision-making. The objective of this proposal is to take a user-centered design and systems engineering approach, bringing domain expertise and relevant scientific concepts to develop a decision aid called MASTS (Multi-perspective ASsessments and Tasking for Submarines). MASTS consists of three integrated elements: a CONOPS for sub-UV task integration, a task allocation model, and a collaborative workspace to coordinate multiple perspectives. These elements seamlessly weave UV tasking onto subs, reduce knowledge fragmentation and support team situation awareness, and structure and coordinate multi-perspective decision-making. Together, these elements are anticipated to improve command decision making. The proposal team is well-positioned with relevant expertise, related sub-UV CONOPS work, domain familiarity and access to experts, extensive operational evaluation experience, and access to multiple promising transition avenues. With this approach, a solution will be developed that is scientifically principled, grounded in the real needs of operational users, and aligned with the transition process and timeline.

Benefit:
The output of this research will be: a concept of operations for integrating UVs into submarines, an iterative model for coordinating and assigning tasks, and a process and supporting user interface concepts for multi-participant, multi-perspective decision making. MASTS 0x8D integrated elements are anticipated to benefit users and decision makers in several ways, including (1) improving command decision making, (2) enhancing team collaboration by sharing, leveraging, and honoring multiple perspectives, and (3) facilitating performance by helping users arrive at more robust operational plans. At a time of enormous national interest and investment in unmanned system technology and the increased demand for distributed team coordination, the MASTS solution has significant potential commercial value in both the Government and the private sector. Within the Government, there are multiple promising transition avenues for MASTS concepts to support the needs of the submarine acquisition community and the tactical development squadrons. To facilitate this transition, the development timeline for MASTS aligns with timelines and needs of these customers. MASTS also aligns with and complements other ongoing ONR research efforts to support the development of the submarine combat system. For non-DoD civil transition opportunities, MASTS concepts can improve efficiency of operations that involve personnel from multiple organizations in distributed locations. Potential commercial transition opportunities include Business Intelligence software developers, who could use concepts from the MASTS decision aid as part of their analytic tools.

Keywords:
submarine decision-making, submarine decision-making, unmanned vehicle integration, Multi-perspective decision support, computational model

Phase II

Contract Number: N68335-18-C-0259
Start Date: 2/28/2018    Completed: 3/2/2019
Phase II year
2018
Phase II Amount
$999,970
In Naval, surface electronic warfare (EW), visual displays form critical bridges between warfighters and the complex operational radio-frequency (RF) spectrum they must monitor and interpret. Surface electronic warfare operators and supervisors must monitor and interact with multiple, stove-piped display systems in order to perform their work. Further, the visual displays they employ are not designed to account for critical perceptual and cognitive requirements of their human end users. The combined result of an increasingly complex operational RF spectrum, and too many poorly design visual displays is that the workload of end users is excessive and unsustainable, with significant potential for error. The Navy lacks display design processes to address these shortcomings. In this STTR project, Pacific Science and Engineering (PSE), a leader in human factors and evidence-based design of display systems, is pairing with engineers at Johns Hopkins University Applied Physics Laboratory to address these challenges. PSE will lead an effort to develop artefacts and processes to provide the Navy with a way to systematically update its surface EW display suite so that the displays are more usable and useful.

Benefit:
The human performance benefits of the reskinned and refactored EW displays designed and prototyped under this STTR will be improved situational awareness, threat detection, assessment, identification, and change awareness. The programmatic benefits of the display-related artefacts and user-centered design processes created under this STTR are to enable the systematic and structured updating of the EW display suite. Results from this work will transition into updates of the AN/SLQ-32(V)6 program of record of NAVSEA Program Executive Office for Surface Sensing and Electronic Warfare (PEO-IWS2).

Keywords:
computational modeling, Automation, Visual Displays, Human Factors, Decision Making, Cognitive Science, Human Machine Interfaces, Electronic Warfare