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IMMERSE: Interactive Mentoring for Multimodal Experiences in Realistic Social Encounters
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In: DTIC (2015)
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Auditory Perception in an Open Space: Detection and Recognition
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In: DTIC (2015)
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Document Image Parsing and Understanding using Neuromorphic Architecture
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In: DTIC (2015)
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Decision Allocation of C2 System Based on ULMADM
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In: DTIC (2014)
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Uncertainty Can Increase Explanatory Credibility
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In: DTIC (2013)
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Measuring Collective Intelligence in Human-Machine Systems
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In: DTIC (2013)
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Performance Evaluation of a Semantic Perception Classifier
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In: DTIC (2013)
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Representing and Reasoning with Functional Knowledge for Spatial Language Understanding
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In: DTIC (2011)
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The SRI NIST 2010 Speaker Recognition Evaluation System (PREPRINT)
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In: DTIC (2011)
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Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
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In: DTIC (2011)
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A Concept Map Knowledge Model of Intelligence Analysis
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In: DTIC (2011)
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Transfer Learning in Integrated Cognitive Systems
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In: DTIC (2010)
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Analysis of Discourse Accent and Discursive Practices I&W
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In: DTIC (2010)
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Transformational Impact of "Digital Natives" on Cultures, Commerce and Societies
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In: DTIC (2010)
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Rapidly Customizable Spoken Dialogue Systems
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In: DTIC (2009)
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Effective Presentation Media for Passenger Safety I: Comprehension of Briefing Card Pictorials and Pictograms
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In: DTIC (2008)
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A Sensemaking Visualization Tool with Military Doctrinal Elements
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In: DTIC (2008)
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Automation Reliability in Unmanned Aerial Vehicle Control: A Reliance-Compliance Model of Automation Dependence in High Workload
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In: DTIC (2006)
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Abstract:
Objective: Two experiments were conducted in which participants navigated a simulated unmanned aerial vehicle (UAV) through a series of mission legs while searching for targets and monitoring system parameters. The goal of the study was to highlight the qualitatively different effects of automation false alarms and misses as they relate to operator compliance and reliance, respectively. Background: Background data suggest that automation false alarms cause reduced compliance, whereas misses cause reduced reliance. Method: In two studies, 32 and 24 participants, including some licensed pilots, performed in-lab UAV simulations that presented the visual world and collected dependent measures. Results: Results indicated that with the low-reliability aids, false alarms correlated with poorer performance in the system failure task, whereas misses correlated with poorer performance in the concurrent tasks. Conclusion: Compliance and reliance do appear to be affected by false alarms and misses, respectively, and are relatively independent of each other. Application: Practical implications are that automated aids must be fairly reliable to provide global benefits and that false alarms and misses have qualitatively different effects on performance. ; Published in Human Factors, v48, n3, p474 486, Fall 2006.
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Keyword:
*AUTOMATION; *MAN MACHINE SYSTEMS; ADJUSTMENT(PSYCHOLOGY); ATTENTION; DRONE CONTROL AIRCRAFT; FALSE ALARMS; FLIGHT SIMULATION; Human Factors Engineering & Man Machine System; IMPERFECT AUTOMATION; Linguistics; MULTITASK; Pilotless Aircraft; RELIANCE; UVA(UNMANNED AERIAL VEHICLE)
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA462195 http://www.dtic.mil/docs/citations/ADA462195
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