SBIR-STTR Award

A User-Centric Gamified Crowdsourcing System for Geospatial Analysts
Award last edited on: 3/16/2021

Sponsored Program
SBIR
Awarding Agency
DOD : NGA
Total Award Amount
$99,954
Award Phase
1
Solicitation Topic Code
NGA191-007
Principal Investigator
Michael J McCloskey

Company Information

361 Interactive LLC (AKA: Studio 361 Interactive Inc)

714 East Monument Avenue Suite 201
Dayton, OH 45402
   (937) 743-0361
   info@361interactive.com
   www.361interactive.com
Location: Single
Congr. District: 10
County: Montgomery

Phase I

Contract Number: HM047619C0079
Start Date: 8/22/2019    Completed: 6/8/2020
Phase I year
2019
Phase I Amount
$99,954
Creating comprehensive geospatial datasets requires that National Geospatial Agency (NGA) analysts spend large amounts of time searching for, delineating, and labeling non-moving features in overhead imagery. This tiresome and tedious task can negatively impact not only the analystsÂ’ work satisfaction but also the resulting data quality. Fortunately, recent advances in gamification and crowdsourcing provide an opportunity to improve address this situation. 361 Interactive brings together in game design and gamification, intelligence analysis, crowdsourcing, human factors, interface design, and experimental design to design and develop an engaging gamified crowdsourcing system for NGA analysts. Our user-centric approach, which is grounded on deep knowledge of the domain and end users, will ensure that gamification is applied judiciously to enhance motivation and engagement and ensure it is well received by the NGA community. Furthermore, our design will include gamification elements that appeal to different types of analysts to successfully engage more end users. The resulting user-centric gamified crowdsourcing system will enhance NGA analystsÂ’ motivation to contribute to crowdsourcing geospatial datasets, as well as their engagement and enjoyment while they complete these tasks. At least as importantly, the resulting system will result in enhanced-quality geospatial datasets, which will be leveraged to train automated algorithms.

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
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Phase II Amount
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