Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information , 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY)2. REPORT TYPE 3. DATES COVERED (From -To) Approved for public release; distribution is unlimited. SUPPLEMENTARY NOTES ABSTRACTThis report consists of five parts. Part one introduces the concepts of human-in-the-loop (HITL) virtual simulation, modeling and constructive simulation, and the human as an information processor. Part two introduces the constructive modeling tool used in the current study, the Combat Automation Requirements Testbed (CART), and briefly reviews two recent case studies where it was applied. Part three describes the effort to develop an in-house constructive simulation capability. Part four documents the development of a human performance model (HPM) for an Unmanned Aerial Vehicle (UAV) sensor operator (SO) . HPM development activities included the creation of a mission scenario, identification of functions and tasks performed by a UAV SO on a typical mission, and model development (e.g., function and task decomposition, workload and response time estimation, and modeling). Part five summarizes lessons learned and proposes potential future activities. SUBJECT TERMSConstructive simulation, unmanned aerial vehicles, human performance models virtual simulation, modeling and constructive simulation, and the human as an information processor.Part two introduces the constructive modeling tool used in the current study, the Combat AutomationRequirements Testbed (CART), and briefly reviews two recent case studies where it was applied. Part three describes the effort to develop an in-house constructive simulation capability. Part four documents the development of a human performance model (HPM) for an Unmanned Aerial Vehicle (UAV) sensor operator (SO). HPM development activities included the creation of a mission scenario, identification of functions and tasks performed by a UAV SO on a typical mission, and model development (e.g., function and task decomposition, workload and response time estimation, and modeling). Part five summarizes lessons learned and proposes potential future activities.

Control applications involving multiple Unmanned Aerial Systems (UASs) will often require the operator to switch attention between UASs and their respective camera views. An automated aid that transitions between camera views is under evaluation. Instead of discretely switching from the camera view for one UAS to the camera view for another, a transition format is presented. With this format, the camera imagery seamlessly fades into a synthetic imagery correlate of the real video image and then uses a “fly-out, fly-in” metaphor over several seconds, finishing with a transition back from synthetic to real video imagery at the new camera viewpoint. The results from the present simulation evaluation provide support that an automated camera view transition aid can improve task performance and situation awareness. Moreover, the results show potential benefits of allowing an operator to decide where and when the fly-in segment starts.

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