Publications by authors named "Mica Endsley"

Situation awareness (SA) and workload have both received considerable attention over the past several decades. Little research has investigated the relationship between these two constructs however. The present study examines the relationship between workload and SA in a task involving operation of unmanned vehicles performing an inspection task.

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Bainbridge's was a prescient description of automation related challenges for human performance that have characterised much of the 40 years since its publication. Today a new wave of automation based on artificial intelligence (AI) is being introduced across a wide variety of domains and applications. Not only are Bainbridge's original warnings still pertinent for AI, but AI's very nature and focus on cognitive tasks has introduced many new challenges for people who interact with it.

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Objective: The objective of this meta-analysis is to explore the presently available, empirical findings on transfer of training from virtual (VR), augmented (AR), and mixed reality (MR) and determine whether such extended reality (XR)-based training is as effective as traditional training methods.

Background: MR, VR, and AR have already been used as training tools in a variety of domains. However, the question of whether or not these manipulations are effective for training has not been quantitatively and conclusively answered.

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Objective: To examine evidence of sensitivity, predictiveness, and methodological concerns regarding direct, objective measures of situation awareness (SA).

Background: The ability to objectively measure SA is important to the evaluation of user interfaces and displays, training programs, and automation initiatives, as well as for studies that seek to better understand SA in both individuals and teams. A number of methodological criticisms have been raised creating significant confusion in the research field.

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Objective: This article provides an overview of the characteristics of misinformation and information attack and their effects on the perceptions of the public, with the objective of outlining potential solutions and needed research for countering this growing problem.

Background: Society is facing a significant challenge from the spread of misinformation through websites and social media that has driven a divergence in people's perceptions and understanding of basic facts associated with many issues relevant to public policy decisions, including the economy, taxation, and the deficit; climate change and the environment; and vaccinations and public health and safety. A number of factors are driving this fracture, including information presentation challenges that lead to poor information understanding, deliberate information attacks, social network propagation, poor assessments of information reliability, and cognitive biases that lead to a rejection of information that conflicts with preexisting beliefs.

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From Here to Autonomy.

Hum Factors

February 2017

As autonomous and semiautonomous systems are developed for automotive, aviation, cyber, robotics and other applications, the ability of human operators to effectively oversee and interact with them when needed poses a significant challenge. An automation conundrum exists in which as more autonomy is added to a system, and its reliability and robustness increase, the lower the situation awareness of human operators and the less likely that they will be able to take over manual control when needed. The human-autonomy systems oversight model integrates several decades of relevant autonomy research on operator situation awareness, out-of-the-loop performance problems, monitoring, and trust, which are all major challenges underlying the automation conundrum.

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Accurate situation awareness (SA) of medical staff is integral for providing optimal performance during the treatment of patients. An understanding of SA and how it affects treatment of patients is therefore crucial for patient safety and an essential element for research on human factors in anesthesia. This review describes the concept of SA in the anesthesia environment, including the interaction with associated medical teams.

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We conducted a theoretical investigation of a complex command and control (C2) operation--the manoeuvres planning processes in Army land-battle situations, to improve understanding of how technology can best be designed to support planning and course of action development. We drew upon results from cognitive task analyses and interviews with subject matter experts and insights gleaned from observations of Army training exercises and experiments to make inferences on the C2 activities carried out in preparation for tactical manoeuvres. In this paper, we summarize several critical human factors issues associated with planning in a rapidly evolving environment, as identified in our investigation, and describe system design concepts aimed at addressing these challenges to distributed collaborative planning of C2 activities.

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