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Author

Adam Fouse

Other affiliations: Charles River Laboratories, Arkema
Bio: Adam Fouse is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Decision support system & Command and control. The author has an hindex of 10, co-authored 29 publications receiving 408 citations. Previous affiliations of Adam Fouse include Charles River Laboratories & Arkema.

Papers
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Proceedings ArticleDOI
07 May 2011
TL;DR: ChronoViz is a system to aid annotation, visualization, navigation, and analysis of multimodal time-coded data by providing direct indexing and flexible mechanisms to control data exploration.
Abstract: We present ChronoViz, a system to aid annotation, visualization, navigation, and analysis of multimodal time-coded data. Exploiting interactive paper technology, ChronoViz also integrates researcher's paper notes into the composite data set. Researchers can navigate data in multiple ways, taking advantage of synchronized visualizations and annotations. The goal is to decrease the time and effort required to analyze multimodal data by providing direct indexing and flexible mechanisms to control data exploration.

151 citations

Proceedings ArticleDOI
28 Mar 2012
TL;DR: Analysis of the use of mobile eye tracking systems in aviation human factors and techniques and methods that can be applied in this and other domains in order to successfully collect, analyze and visualize eye-tracking data in combination with the array of data types supported by ChronoViz.
Abstract: As part of our research on multimodal analysis and visualization of activity dynamics, we are exploring the integration of data produced by a variety of sensor technologies within ChronoViz, a tool aimed at supporting the simultaneous visualization of multiple streams of time series data. This paper reports on the integration of a mobile eye-tracking system with data streams collected from HD video cameras, microphones, digital pens, and simulation environments. We focus on the challenging environment of the commercial airline flight deck, analyzing the use of mobile eye tracking systems in aviation human factors and reporting on techniques and methods that can be applied in this and other domains in order to successfully collect, analyze and visualize eye-tracking data in combination with the array of data types supported by ChronoViz.

73 citations

Journal ArticleDOI
TL;DR: Two studies that investigated display characteristics related to color and contrast with a background for displaying information qualifiers (termed meta-information) showed that the natural direction of ordering is complex and dependent on the relevance of different information to the task and the contrast of the overlay region with the background.
Abstract: We conducted two studies that investigated display characteristics related to color (hue, saturation, brightness, and transparency) and contrast with a background for displaying information qualifiers (termed meta-information) such as uncertainty, age, and source quality. Level of detail (or granularity) of the meta-information and task demands were also manipulated. Participants were asked to rank and rate colored regions overlaid on different map backgrounds based on the level of meta-information the regions displayed. Results from Study 1 indicated that participants could appropriately rank and rate levels of meta-information across saturation, brightness, and transparency conditions, and results from Study 1 and Study 2 showed that the natural direction of ordering is complex and dependent on the relevance of different information to the task and the contrast of the overlay region with the background.

33 citations

Journal ArticleDOI
TL;DR: An integrative approach to understanding flight crew activity is described, which combines contemporary innovations in cognitive science theory with a new suite of methods for measuring, analyzing, and visualizing the activities of commercial airline flight crews in interaction with the complex automated systems found on the modern flight deck.
Abstract: In this paper, we describe an integrative approach to understanding flight crew activity. Our approach combines contemporary innovations in cognitive science theory with a new suite of methods for measuring, analyzing, and visualizing the activities of commercial airline flight crews in interaction with the complex automated systems found on the modern flight deck. Our unit of analysis is the multiparty, multimodal activity system. We installed a variety of recording devices in high-fidelity flight simulators to produce rich, multistream time-series data sets. The complexity of such data sets and the need for manual coding of high-level events make large-scale analysis prohibitively expensive. We break through this analysis bottleneck by using our newly developed integrated software system called ChronoViz, which supports visualization and analysis of multiple sources of time-coded data, including multiple sources of high-definition video, simulation data, transcript data, paper notes, and eye gaze data. Four examples of flight crew activity serve to illustrate the methods, the theory, and the kinds of findings that are now possible in the study of flight crew interaction with flight deck automation.

23 citations

01 Jun 2006
TL;DR: The role of meta-information in C2 is explored using Cognitive Task Analysis (CTA) techniques to identify when and how, in current practice, human interaction with meta- information impacts decision-making, especially when that decision- making is supported by automation.
Abstract: : Command and control (C2) in complex, dynamic, high-risk warfighting environments is clearly challenging, particularly because of the increasing complexity of available technology for processing and presenting information. Commanders need to understand and act on large volumes of information from a variety of sources and are particularly challenged by the need to reason about the qualifiers of that information, which we will refer to as meta-information (e.g., uncertainty, recency, pedigree). We have explored the role of meta-information in C2 using Cognitive Task Analysis (CTA) techniques to identify when and how, in current practice, human interaction with meta-information impacts decision-making, especially when that decision-making is supported by automation. Too often critical meta-information is not processed, ineffectively displayed, or not displayed at all in existing C2 decision support systems. The result of our analyses is a number of design recommendations for C2 decision-support systems and guidelines for identifying and recognizing the need for meta-information processing and display. In this paper, we present the results of our analyses and discuss their implications with respect to the design of human-system interfaces and the development of computational information processing methods.

22 citations


Cited by
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Journal ArticleDOI
TL;DR: To break the boredom in reading, one that the authors will refer to is choosing the myth of the paperless office as the reading material.
Abstract: Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the very easy hobby to do. But, many people are not interested in this hobby. Why? Boring is the reason of why. However, this feel actually can deal with the book and time of you reading. Yeah, one that we will refer to break the boredom in reading is choosing the myth of the paperless office as the reading material.

558 citations

Journal Article
TL;DR: This work proposes a tiered system architecture in which data collected at numerous, inexpensive sensor nodes is filtered by local processing on its way through to larger, more capable and more expensive nodes.
Abstract: As new fabrication and integration technologies reduce the cost and size of micro-sensors and wireless interfaces, it becomes feasible to deploy densely distributed wireless networks of sensors and actuators. These systems promise to revolutionize biological, earth, and environmental monitoring applications, providing data at granularities unrealizable by other means. In addition to the challenges of miniaturization, new system architectures and new network algorithms must be developed to transform the vast quantity of raw sensor data into a manageable stream of high-level data. To address this, we propose a tiered system architecture in which data collected at numerous, inexpensive sensor nodes is filtered by local processing on its way through to larger, more capable and more expensive nodes.We briefly describe Habitat monitoring as our motivating application and introduce initial system building blocks designed to support this application. The remainder of the paper presents details of our experimental platform.

454 citations

Journal ArticleDOI
TL;DR: One cannot, of course, expect that this translation of Hering's work will ever accomplish what Southall's translation of the "Handbook of Physiological Optics" did for the spreading of the Helmholtzian gospel within the English reading community of scientists.
Abstract: I could not help feeling a kind of elation when I first laid eyes on this volume. "Finally," I felt, "here it is, in English, in a handsome volume published by a famous University Press, in the translation of two eminent American scholars who themselves spent a lifetime studying vision, especially color vision. Here it is, in English, one of the classics of visual physiology by one of the greatest visual physiologists." And what a translation it is! Hering was, among many other things, a master of style, and none of the clarity and beauty of his style is lost in this translation. One cannot, of course, expect that this translation of Hering's work will ever accomplish what Southall's translation of the "Handbook of Physiological Optics" did for the spreading of the Helmholtzian gospel within the English reading community of scientists. But, at last and at least, Hering too will

309 citations

Proceedings ArticleDOI
07 Sep 2015
TL;DR: This work describes the implementation and evaluation of an approach for inferring eating moments based on 3-axis accelerometry collected with a popular off-the-shelf smartwatch, with applicability in areas ranging from health research and food journaling.
Abstract: Recognizing when eating activities take place is one of the key challenges in automated food intake monitoring. Despite progress over the years, most proposed approaches have been largely impractical for everyday usage, requiring multiple on-body sensors or specialized devices such as neck collars for swallow detection. In this paper, we describe the implementation and evaluation of an approach for inferring eating moments based on 3-axis accelerometry collected with a popular off-the-shelf smartwatch. Trained with data collected in a semi-controlled laboratory setting with 20 subjects, our system recognized eating moments in two free-living condition studies (7 participants, 1 day; 1 participant, 31 days), with F-scores of 76.1% (66.7% Precision, 88.8% Recall), and 71.3% (65.2% Precision, 78.6% Recall). This work represents a contribution towards the implementation of a practical, automated system for everyday food intake monitoring, with applicability in areas ranging from health research and food journaling.

284 citations