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This book presents approaches on how human factors theory and research addresses the challenges associated with combat identification, with emphasis on reducing human error that leads to fratricide. To reduce fratricide, it is important to apply human factors principles to the advances in technological approaches that enhance combat identification. The book brings together authors from academic and military researchers to government contractors and commercial developers in a single volume with broad appeal.
List of contents
Contents: Foreword; Preface; Introduction, Katherine A. Wilson, Eduardo Salas and Dee H. Andrews. Section 1 Cognitive Processes: Factors affecting speed and accuracy of response selection in operational environments, Robert W. Proctor and Motonori Yamaguchi; Measuring vigilance abilities to enhance combat identification performance, Clark Shingledecker, David E. Weldon, Kyle Behymer, Benjamin Simpkins, Elizabeth Lerner, Joel Warm, Gerald Matthews, Victore Finomore, Tyler Shaw and Jennifer S. Murphy; Dimensions of spatial ability and their influence on performance with unmanned systems, Thomas Fincannon, A. William Evans III, Florian Jentsch and Joseph Keebler. Section 2 Visual Discrimination: The effects of conjunctive search and response mappings on automatic performance in a complex visual task, Cleotilde Gonzalez, Rick P. Thomas and Poornima Madhavan; What visual discrimination of fractal textures can tell us about discrimination of camouflaged targets, Vincent A. Billock, Douglas W. Cunningham and Brian H. Tsou; A cognitive basis for friend-foe misidentification of vehicles in combat, Joseph R. Keebler, Lee W. Sciarini, Florian Jentsch, Denise Nicholson and Thomas Fincannon; Preattentive attributes in visualization design: enhancing combat identification, Scott H. Summers. Section 3 Situation Awareness: Team coordination and shared situation awareness in combat identification, Cheryl A. Bolstad, Mica R. Endsley and Haydee M. Cuevas; The use of soft sensors and I-space for improved combat ID, David L. Hall and Stan Aungst. Section 4 Teams: Training strategies to mitigate expectancy-induced response bias in combat identification: a research agenda, Frank L. Greitzer and Dee H. Andrews; Comparing individual and team judgment accuracy for target identification under heavy cognitive demand, Verlin B. Hinsz and Dana M. Wallace; A team training paradigm for better combat identification, Wayne Shebilske, Georgiy Levchuk, Jared Freeman and Kevin Gildea; Analysis of the tasks conducted by forward air controllers and pilots during simulated close air support missions: supporting the development of the INCIDER model, Beejal Mistry, Gareth Croft, David Dean, Julie Gadsden, Gareth Conway and Katherine Cornes; Team cognition during a simulated close air support exercise: results from a new behavioral rating instrument, Jerzy Jarmasz, Richard Zobarich, Lora Bruyn-Martin and Tab Lamoureux. Section 5 Automation: Evaluating reliance on combat identification systems: the role of reliability feedback, Heather F. Neyedli, Lu Wang, Greg A. Jamieson and Justin G. Hollands; The effects of automation bias on operator compliance and reliance, Stephen Rice, Krisstal Clayton and Jason McCarley; An examination of the social, cognitive, and motivational factors that affect automation reliance, Mary T. Dzindolet, Linda G. Pierce and Hall P. Beck; On fratricide and the operational reliability of target identification decision aids in combat identification, John K. Hawley, Anna L. Mares and Jessica L. Marcon; The case for active fratricide avoidance in Net-Centric C2 systems, John Barnett; Mitigating friendly fire casualties through enhanced battle command capabilities, Jean W. Pharaon; Index.
About the author
Dee H. Andrews is the Directorate Senior Scientist (ST) for the Human Effectiveness Directorate, 711th Human Performance Wing of the Air Force Research Laboratory (AFRL). AFRL is an organization within the United States Air Force that is dedicated to leading the discovery, development, and integration of warfighting technologies for the United States’ air, space and cyberspace forces. As a Senior Scientist (ST), Dr. Andrews is the AFRL's principal scientific authority for training research. Dr. Andrews' responsibilities include sustaining technological superiority for training by planning and conducting theoretical and experimental studies. He is also responsible for mentoring and developing dedicated technical staff to assure quality in training research, and represents AFRL in training research matters to the external scientific and technical community. Lt Col Robert P. Herz is a research scientist with the Mesa Research Site, Air Force Research Laboratory. He has considerable human factors experience with operational test and evaluation of space systems, modeling, simulation, distributed mission operations, C4ISR, training, and has integrated numerous tools into the AOC baseline. He is currently the Director of Operations of the Warfighter Readiness Research Division and has both military and civilian flight experience. He earned a B.S. from Wright State University specializing in Human Factors, an M.S. from Embry-Riddle Aeronautical University in Aerospace Operations and a Ph.D. through Northcentral University specializing in Aerospace Operations Management. Mark B. Wolf is a Research Fellow with the Oak Ridge Institute for Science and Education (ORISE), and works at the Air Force Research Laboratory in Mesa, AZ. He earned a PH.D. in Industrial-Organizational Psychology from the Georgia Institute of Technology.
