Search Results - "Feigh, Karen M."

Impact Mapping for Geospatial Reasoning and Decision Making by Illingworth, David A., Feigh, Karen M.

“…Objective The reported study evaluated a novel approach to aiding geospatial reasoning and decision making. Background Impact mapping aims to alleviate the…”
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Toward a Characterization of Adaptive Systems: A Framework for Researchers and System Designers by Feigh, Karen M., Dorneich, Michael C., Hayes, Caroline C.

“…Objective: This article presents a systematic framework characterizing adaptive systems. Background: Adaptive systems are those that can appropriately modify…”
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The role of shared mental models in human-AI teams: a theoretical review by Andrews, Robert W., Lilly, J. Mason, Srivastava, Divya, Feigh, Karen M.

“…Mental models are knowledge structures employed by humans to describe, explain, and predict the world around them. Shared Mental Models (SMMs) occur in teams…”
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The Effects of Inaccurate Decision-Support Systems on Structured Shared Decision-Making for Human-Robot Teams by Kolb, Jack, Srivastava, Divya, Feigh, Karen M.

“…Human-robot teams can leverage a human's expertise and a robot's computational power to meaningfully improve mission outcomes. In command and control domains,…”
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Influencing Human Escape Maneuvers With Perceptual Cues in the Presence of a Visual Task by Bajpai, Aakash, Feigh, Karen M., Mazumdar, Anirban, Young, Aaron J.

“…Visual engagement is common in many situations where human operators must perform tasks in challenging environments. This visual engagement has the potential…”
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Example of a Complementary Use of Model Checking and Human Performance Simulation by Gelman, Gabriel, Feigh, Karen M., Rushby, John

“…Aircraft automation designers are faced with the challenge to develop and improve automation such that it is transparent to the pilots using it. To identify…”
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Accuracy and Effort of Decision-Making Strategies With Incomplete Information: Implications for Decision Support System Design by Canellas, Marc C., Feigh, Karen M., Chua, Zarrin K.

“…Decision makers are often required to make decisions with incomplete information. In order to design decision support systems (DSSs) utilizing restrictiveness…”
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Committing to interdependence: Implications from game theory for human–robot trust by Razin, Yosef S., Feigh, Karen M.

“…Human–robot interaction (HRI) and game theory have developed distinct theories of trust for over three decades in relative isolation from one another. HRI has…”
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Differentiating 'Human in the Loop' Decision Process by Elizabeth Walsh, Sarah, Feigh, Karen M.

“…Recently, research by groups in academia, industry, and government has shifted toward the development of AI and machine learning tools to advise human…”
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Decision Support System Requirements Definition for Human Extravehicular Activity Based on Cognitive Work Analysis by Miller, Matthew James, McGuire, Kerry M., Feigh, Karen M.

“…The design and adoption of decision support systems within complex work domains is a challenge for cognitive systems engineering (CSE) practitioners,…”
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Impact of Missing Information and Strategy on Decision Making Performance by Sealy, William I.N., Feigh, Karen M.

“…Decision makers frequently encounter environments without perfect information, in which factors such as the distribution of missing information and estimates…”
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Characteristics that Influence Perceived Intelligence in AI Design by Krening, Samantha, Feigh, Karen M.

“…A goal of interactive machine learning (IML) is to create robots or intelligent agents that can be easily taught how to perform tasks by individuals with no…”
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Addressing the envisioned world problem: a case study in human spaceflight operations by Miller, Matthew J., Feigh, Karen M.

“…The construction of future technological systems in work domains that do not yet exist, known as the envisioned world problem, is an increasingly important…”
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Using formal methods to reason about taskload and resource conflicts in simulated air traffic scenarios by Houser, Adam, Ma, Lanssie Mingyue, Feigh, Karen M., Bolton, Matthew L.

“…In complex environments, like the modern air traffic system, interactions between human operators and other system agents can profoundly impact system…”
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Incorporating multiple patterns of activity into the design of cognitive work support systems by Feigh, Karen M.

“…The design of support systems for cognitive work needs to account for the different patterns of activity resulting from changes in context. The contextual…”
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Shifting role for human factors in an 'unmanned' era by Feigh, Karen M., Miller, Matthew J., Bhattacharyya, Raunak P., Ma, Minyue (Lanssie), Krening, Samantha, Razin, Yosef

“…Human factors practitioners (HFPs) play many different roles in the design, creation, operation and maintenance of engineered systems. Less well known are the…”
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Jumpstarting Modelling Systems Design: A Generalized Xml Abstraction Of Simulation Model by Ma, Lanssie Mingyue, Feigh, Karen M.

“…While many complex models and simulations exist, tools to help evaluate the structure of work between humans and autonomous systems are underdeveloped. There…”
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Demonstration of the “Work Models that Compute” Simulation Framework for Objective Function Allocation by IJtsma, Martijn, Ma, Lanssie M., Feigh, Karen M., Pritchett, Amy R.

“…This document describes a demonstration of the computational simulation framework Work Models that Compute (WMC). WMC is a framework for the objective…”
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Application of Abstraction Hierarchies to Incorporate Human Knowledge for Machine Learning: A General Form for Mario Bros. & Pac-Man by Tokadlı, Güliz, Feigh, Karen M.

“…We evaluate the use of the Abstraction Hierarchy (AH) modeling technique from Work Domain Analysis (WDA) to generate policies suitable for use by a…”
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Exploring Relationships of Human-Automation Interaction Consequences on Pilots: Uncovering Subsystems by Durso, Francis T., Stearman, Eric J., Morrow, Daniel G., Mosier, Kathleen L., Fischer, Ute, Pop, Vlad L., Feigh, Karen M.

“…Objective: We attempted to understand the latent structure underlying the systems pilots use to operate in situations involving human-automation interaction…”
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