The Experts below are selected from a list of 1629 Experts worldwide ranked by ideXlab platform

Dylan D. Schmorrow - One of the best experts on this subject based on the ideXlab platform.

Kay M. Stanney - One of the best experts on this subject based on the ideXlab platform.

  • Augmented Cognition design approaches for treating mild traumatic brain injuries
    International Conference on Foundations of Augmented Cognition, 2009
    Co-Authors: Kay M. Stanney, Kelly S. Hale, D M Jones
    Abstract:

    Augmented Cognition could serve as an innovative rehabilitation approach for mild traumatic brain injuries, where issues with Cognition, behavior, and affective responses are monitored in real-time and mitigation strategies are triggered to resolve performance or behavior issues. Such mitigations could guide individuals in addressing the current situation (e.g., performance decrement, undesired behavior, negative affective response), as well as provide rehabilitation support to improve performance and behavior in subsequent situations. This paper focuses on mitigation strategies that are suitable for an Augmented Cognition rehabilitation setting, with the goal of supporting recovery from suboptimal performance and providing rehabilitation tools in real-time, operational context.

  • Augmented Cognition: An Overview
    Reviews of Human Factors and Ergonomics, 2009
    Co-Authors: Kay M. Stanney, Dylan D. Schmorrow, Matthew Johnston, Sven Fuchs, David Jones, Kelly S. Hale, Ali Ahmad, Peter M. Young
    Abstract:

    Augmented Cognition is a form of human-systems interaction in which a tight coupling between user and computer is achieved via physiological and neurophysiological sensing of a user's cognitive state. This interactive paradigm seeks to revolutionize the manner in which humans engage with computers by leveraging this knowledge of cognitive state to precisely adapt user-system interaction in real time. This review provides an overview of contemporary works in the field of Augmented Cognition and details regarding the three main components of an Augmented Cognition system: cognitive state sensors, adaptation strategies, and control systems. The review provides a perspective on the field as well as insights into the many challenges that lie ahead for those who endeavor to realize the full potential of Augmented Cognition.

  • HCI (16) - Augmented Cognition Design Approaches for Treating Mild Traumatic Brain Injuries
    Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009
    Co-Authors: Kay M. Stanney, Kelly S. Hale, David Jones
    Abstract:

    Augmented Cognition could serve as an innovative rehabilitation approach for mild traumatic brain injuries, where issues with Cognition, behavior, and affective responses are monitored in real-time and mitigation strategies are triggered to resolve performance or behavior issues. Such mitigations could guide individuals in addressing the current situation (e.g., performance decrement, undesired behavior, negative affective response), as well as provide rehabilitation support to improve performance and behavior in subsequent situations. This paper focuses on mitigation strategies that are suitable for an Augmented Cognition rehabilitation setting, with the goal of supporting recovery from suboptimal performance and providing rehabilitation tools in real-time, operational context.

  • New Kids on the Block: Multi-Dimensional Perspectives on Augmented Cognition
    Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2008
    Co-Authors: Julie M. Drexler, Kay M. Stanney, Chris Berka, Leah Reeves, Dylan Schmorrow, Dennis K. Mcbride, Blair Dickson
    Abstract:

    This discussion panel was organized to offer HFES members an opportunity to learn more about the burgeoning field of Augmented Cognition and to discover the multi-dimensional aspects of the discipline. The session will feature six invited panelists who were selected to represent a cross-section of the Augmented Cognition International Society community of more than 900 members. Each panelist will present their unique perspective of the AugCog field, which will provide the audience with information on a variety of research, development, and application areas in the AugCog field within the U.S and abroad. The panel members and their associated AugCog perspectives include: CDR Dylan Schmorrow, government; Denise Nicholson, academia; Dennis McBride, non-profit; Kay Stanney and Chris Berka, industry; and Blair Dickson, industry/international.

  • Augmented Cognition and cognitive state assessment technology near term mid term and long term research objectives
    International Conference on Foundations of Augmented Cognition, 2007
    Co-Authors: L M Reeves, Dylan D. Schmorrow, Kay M. Stanney
    Abstract:

    The 1st Augmented Cognition International (ACI) conference was held in July 2005 in conjunction with the HCI International conference in Las Vegas, Nevada. A full day working group session was held during this inaugural ACI conference to facilitate the development of an Augmented Cognition R&D agenda for the near- (1-2 years), medium- (within 5 years) and long-term (> 5 years). Working group attendees included scientists, developers, and practitioners from government, academia, and industry who were invited to participate based on their numerous years of experience and expertise in the Augmented Cognition and related fields. This article highlights key results of the workshop discussions that were focused on Cognitive State Assessment (CSA) R&D objectives, particularly with regard to the design and implementation of CSA tools and techniques.

Martha E. Crosby - One of the best experts on this subject based on the ideXlab platform.

  • forget the password password memory and security applications of Augmented Cognition
    International Conference on Augmented Cognition, 2018
    Co-Authors: Nancy Mogire, Michaelbrian Ogawa, Randall K Minas, Brent Auernheimer, Martha E. Crosby
    Abstract:

    Individual security behavior plays a central role in achieving secure computing. However, secure usage is difficult to guarantee in an open-ended context where different users have different perceptions of security as well as different cognitive loads when using security tools. In designing secure systems, it is not only necessary to define secure behavior but also to provide built-in support for such behavior in order to enable users to be complaint. In this work, we explore the viability of Augmented Cognition as a modality that can be used to support security-oriented behavior in authentication systems. Specifically, we explore how transformations of password character properties such as font and weight can improve password recall and reCognition and reduce insecure habits, such as writing down passwords. In a previous study, we tested the accuracy of recall and reCognition in an Augmented password system. The system was designed to make use of character property transformations to minimize the need for complex passwords while not compromising security. Here we repeat the study, incorporating the use of neurophysiological measures to study human physiological responses during reCognition and recall of character sets with different types of transformation. The results suggest that cognitive effort in recall of complex passwords can be alleviated with the performance of the Augmented password task. This finding has important implications for future research.

  • HCI (16) - Forget the Password: Password Memory and Security Applications of Augmented Cognition
    Lecture Notes in Computer Science, 2018
    Co-Authors: Nancy Mogire, Michaelbrian Ogawa, Randall K Minas, Brent Auernheimer, Martha E. Crosby
    Abstract:

    Individual security behavior plays a central role in achieving secure computing. However, secure usage is difficult to guarantee in an open-ended context where different users have different perceptions of security as well as different cognitive loads when using security tools. In designing secure systems, it is not only necessary to define secure behavior but also to provide built-in support for such behavior in order to enable users to be complaint. In this work, we explore the viability of Augmented Cognition as a modality that can be used to support security-oriented behavior in authentication systems. Specifically, we explore how transformations of password character properties such as font and weight can improve password recall and reCognition and reduce insecure habits, such as writing down passwords. In a previous study, we tested the accuracy of recall and reCognition in an Augmented password system. The system was designed to make use of character property transformations to minimize the need for complex passwords while not compromising security. Here we repeat the study, incorporating the use of neurophysiological measures to study human physiological responses during reCognition and recall of character sets with different types of transformation. The results suggest that cognitive effort in recall of complex passwords can be alleviated with the performance of the Augmented password task. This finding has important implications for future research.

  • combining Augmented Cognition and gamification
    International Conference on Augmented Cognition, 2013
    Co-Authors: Curtis S Ikehara, Martha E. Crosby, Paula Alexandra Silva
    Abstract:

    The strategic goal of Augmented Cognition is to increase task performance capacity by using physiological sensor feedback to adjust or modify the activity for the user. Gamification has been shown to increase performance by using certain combinations of game elements. Both Augmented Cognition and gamification address increased task performance capacity. Gamification adds to Augmented Cognition by directly addressing the motivation of the user to remain engaged in the activity. This has also been referred to as flow, or the optimal experience. This paper describes an example of a gamified activity in which the physiological sensors of Augmented Cognition are used to foster the optimal experience desired in gamification. Also, discussed is how the strategic goals of Augmented Cognition and gamification overlap through the use of a gamified example that describes how the components of Augmented Cognition and elements of gamification can be used together to better achieve the goal of increased task performance capacity.

  • issues in implementing Augmented Cognition and gamification on a mobile platform
    International Conference on Augmented Cognition, 2013
    Co-Authors: Curtis S Ikehara, Martha E. Crosby
    Abstract:

    There are two major trends in computing that will impact Augmented Cognition. The first is the shift in computing platform from the desktop to mobile computing (e.g., smartphone and tablet) because the user wants to be able to do computing tasks where ever they are. The second trend is the gamification of computer applications to keep the user engaged and motivated. Compared to a workstation, the mobile computing environment is a challenge because of limited computing power, storage capacity, internet connectivity and battery capacity. This paper discusses the issues involved in implementing Augmented Cognition activities on a mobile platform and the tradeoffs of gamifying Augmented Cognition activities. These issues are discussed in terms of two example mobile platform applications that implement internal and external sensors.

  • HCI (24) - Combining Augmented Cognition and Gamification
    Foundations of Augmented Cognition, 2013
    Co-Authors: Curtis S Ikehara, Martha E. Crosby, Paula Alexandra Silva
    Abstract:

    The strategic goal of Augmented Cognition is to increase task performance capacity by using physiological sensor feedback to adjust or modify the activity for the user. Gamification has been shown to increase performance by using certain combinations of game elements. Both Augmented Cognition and gamification address increased task performance capacity. Gamification adds to Augmented Cognition by directly addressing the motivation of the user to remain engaged in the activity. This has also been referred to as flow, or the optimal experience. This paper describes an example of a gamified activity in which the physiological sensors of Augmented Cognition are used to foster the optimal experience desired in gamification. Also, discussed is how the strategic goals of Augmented Cognition and gamification overlap through the use of a gamified example that describes how the components of Augmented Cognition and elements of gamification can be used together to better achieve the goal of increased task performance capacity.

Minho Lee - One of the best experts on this subject based on the ideXlab platform.

  • Active glass-type human Augmented Cognition system considering attention and intention
    Connection Science, 2015
    Co-Authors: Bumhwi Kim, Amitash Ojha, Minho Lee
    Abstract:

    Human Cognition is the result of an interaction of several complex cognitive processes with limited capabilities. Therefore, the primary objective of human cognitive augmentation is to assist and expand these limited human cognitive capabilities independently or together. In this study, we propose a glass-type human Augmented Cognition system, which attempts to actively assist human memory functions by providing relevant, necessary and intended information by constantly assessing intention of the user. To achieve this, we exploit selective attention and intention processes. Although the system can be used in various real-life scenarios, we test the performance of the system in a person identity scenario. To detect the intended face, the system analyses the gaze points and change in pupil size to determine the intention of the user. An assessment of the gaze points and change in pupil size together indicates that the user intends to know the identity and information about the person in question. Then, the system retrieves several clues through speech reCognition system and retrieves relevant information about the face, which is finally displayed through head-mounted display. We present the performance of several components of the system. Our results show that the active and relevant assistance based on users' intention significantly helps the enhancement of memory functions.

  • Probing of human implicit intent based on eye movement and pupillary analysis for Augmented Cognition
    International Journal of Imaging Systems and Technology, 2013
    Co-Authors: Byunghun Hwang, Young-min Jang, Rammohan Mallipeddi, Minho Lee
    Abstract:

    The ultimate purpose of Augmented Cognition is to enhance human cognitive abilities, which are intrinsically limited. To enhance limited human cognitive abilities, we developed a human Augmented Cognition system that can offer appropriate information or services by actively responding to the user's intention. This article mainly describes a framework for probing human implicit intentions for the purpose of Augmented Cognition. The type of user intention, either task-free human implicit intention or task-oriented human implicit intention, can be predicted based on fixation count, fixation length, and pupil size variation induced by eye response. Further, these features are used to detect the transition point between task-free human implicit intention and task-oriented human implicit intention. Maximum a Posteriori in Naive Bayes classification model is used for selecting relevant query keywords to search and retrieve specific information from a personalized knowledge database. The experimental results show that the proposed human intention reCognition and probing models are suitable for achieving the goal of Augmented Cognition. © 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 114–126, 2013

  • development of visualizing earphone and hearing glasses for human Augmented Cognition
    International Conference on Neural Information Processing, 2011
    Co-Authors: Byunghun Hwang, Hyungmin Park, Cheolsu Kim, Yunjung Lee, Min Young Kim, Minho Lee
    Abstract:

    In this paper, we propose a human Augmented Cognition system which is realized by a visualizing earphone and a hearing glasses. The visualizing earphone using two cameras and a headphone set in a pair of glasses intreprets both human's intention and outward visual surroundings, and translates visual information into an audio signal. The hearing glasses catch a sound signal such as human voices, and not only finds the direction of sound sources but also recognizes human speech signals. Then, it converts audio information into visual context and displays the converted visual information in a head mounted display device. The proposed two systems includes incremental feature extraction, object selection and sound localization based on selective attention, face, object and speech recogntion algorithms. The experimental results show that the developed systems can expand the limited capacity of human Cognition such as memory, inference and decision.

  • ICONIP (2) - Development of visualizing earphone and hearing glasses for human Augmented Cognition
    Neural Information Processing, 2011
    Co-Authors: Byunghun Hwang, Hyungmin Park, Cheolsu Kim, Yunjung Lee, Min Young Kim, Minho Lee
    Abstract:

    In this paper, we propose a human Augmented Cognition system which is realized by a visualizing earphone and a hearing glasses. The visualizing earphone using two cameras and a headphone set in a pair of glasses intreprets both human's intention and outward visual surroundings, and translates visual information into an audio signal. The hearing glasses catch a sound signal such as human voices, and not only finds the direction of sound sources but also recognizes human speech signals. Then, it converts audio information into visual context and displays the converted visual information in a head mounted display device. The proposed two systems includes incremental feature extraction, object selection and sound localization based on selective attention, face, object and speech recogntion algorithms. The experimental results show that the developed systems can expand the limited capacity of human Cognition such as memory, inference and decision.

  • human Augmented Cognition based on integration of visual and auditory information
    Pacific Rim International Conference on Artificial Intelligence, 2010
    Co-Authors: Woong Jae Won, Wono Lee, Sangwoo Ban, Minook Kim, Hyungmin Park, Minho Lee
    Abstract:

    In this paper, we propose a new multiple sensory fused human identification model for providing human Augmented Cognition. In the proposed model, both facial features and mel-frequency cepstral coefficients (MFCCs) are considered as visual features and auditory features for identifying a human, respectively. As well, an adaboosting model identifies a human using the integrated sensory features of both visual and auditory features. In the proposed model, facial form features are obtained from the principal component analysis (PCA) of a human's face area localized by an Adaboost algorithm in conjunction with a skin color preferable attention model. Moreover, MFCCs are extracted from human speech. Thus, the proposed multiple sensory integration model is aimed to enhance the performance of human identification by considering both visual and auditory complementarily working under partly distorted sensory environments. A human Augmented Cognition system with the proposed human identification model is implemented as a goggle type, on which it presents information such as unknown people's profile based on human identification. Experimental results show that the proposed model can plausibly conduct human identification in an indoor meeting situation.

Sven Fuchs - One of the best experts on this subject based on the ideXlab platform.

  • towards a dynamic selection and configuration of adaptation strategies in Augmented Cognition
    International Conference on Augmented Cognition, 2017
    Co-Authors: Sven Fuchs, Jessica Schwarz
    Abstract:

    Most Augmented Cognition systems use physiological measures to detect critical cognitive states and trigger adaptation strategies to address the problem state and restore or augment performance. Without accounting for context, however, it is likely that adaptations are triggered or withdrawn at inopportune moments, potentially disrupting or confusing the user. We have developed an approach to dynamic adaptation management that processes task and operator state indicators to dynamically select and configure context-sensitive adaptation strategies in real time. This dynamic approach is expected to avoid much of the potential cognitive cost associated with adaptations. We provide an overview of our conceptual approach, describe a proof-of-concept implementation, and summarize user feedback and initial lessons-learned from a small survey.

  • HCI (15) - Towards a Dynamic Selection and Configuration of Adaptation Strategies in Augmented Cognition
    Augmented Cognition. Enhancing Cognition and Behavior in Complex Human Environments, 2017
    Co-Authors: Sven Fuchs, Jessica Schwarz
    Abstract:

    Most Augmented Cognition systems use physiological measures to detect critical cognitive states and trigger adaptation strategies to address the problem state and restore or augment performance. Without accounting for context, however, it is likely that adaptations are triggered or withdrawn at inopportune moments, potentially disrupting or confusing the user. We have developed an approach to dynamic adaptation management that processes task and operator state indicators to dynamically select and configure context-sensitive adaptation strategies in real time. This dynamic approach is expected to avoid much of the potential cognitive cost associated with adaptations. We provide an overview of our conceptual approach, describe a proof-of-concept implementation, and summarize user feedback and initial lessons-learned from a small survey.

  • two steps back for one step forward revisiting Augmented Cognition principles from a perspective of social system theory
    International Conference on Augmented Cognition, 2014
    Co-Authors: Sven Fuchs, Jessica Schwarz, Frank Flemisch
    Abstract:

    One decade after the Augmented Cognition concept validation experiments, the field may have passed the hype phases of inflated expectations and disillusionment but seems to have lost traction before reaching the maturity necessary for broad acceptance and widespread application. The authors suggest that the engineering-driven approach to the field’s challenges may have been necessary in the beginning but should be complemented by looking into implications from the social sciences. The goal of this paper is to raise awareness for the field of (social) system theory by taking two steps back: One to revisit the foundational concepts of AugCog from an alternative perspective, another to illustrate the relevance and importance of social systems principles to the AugCog field. We outline practical implications that (social) system theory holds for the design of adaptation management and conclude our review by suggesting that an approach to human-system cooperation may be able to address the challenges.

  • HCI (25) - Two Steps Back for One Step Forward: Revisiting Augmented Cognition Principles from a Perspective of (Social) System Theory
    Foundations of Augmented Cognition. Advancing Human Performance and Decision-Making through Adaptive Systems, 2014
    Co-Authors: Sven Fuchs, Jessica Schwarz, Frank Flemisch
    Abstract:

    One decade after the Augmented Cognition concept validation experiments, the field may have passed the hype phases of inflated expectations and disillusionment but seems to have lost traction before reaching the maturity necessary for broad acceptance and widespread application. The authors suggest that the engineering-driven approach to the field’s challenges may have been necessary in the beginning but should be complemented by looking into implications from the social sciences. The goal of this paper is to raise awareness for the field of (social) system theory by taking two steps back: One to revisit the foundational concepts of AugCog from an alternative perspective, another to illustrate the relevance and importance of social systems principles to the AugCog field. We outline practical implications that (social) system theory holds for the design of adaptation management and conclude our review by suggesting that an approach to human-system cooperation may be able to address the challenges.

  • Augmented Cognition: An Overview
    Reviews of Human Factors and Ergonomics, 2009
    Co-Authors: Kay M. Stanney, Dylan D. Schmorrow, Matthew Johnston, Sven Fuchs, David Jones, Kelly S. Hale, Ali Ahmad, Peter M. Young
    Abstract:

    Augmented Cognition is a form of human-systems interaction in which a tight coupling between user and computer is achieved via physiological and neurophysiological sensing of a user's cognitive state. This interactive paradigm seeks to revolutionize the manner in which humans engage with computers by leveraging this knowledge of cognitive state to precisely adapt user-system interaction in real time. This review provides an overview of contemporary works in the field of Augmented Cognition and details regarding the three main components of an Augmented Cognition system: cognitive state sensors, adaptation strategies, and control systems. The review provides a perspective on the field as well as insights into the many challenges that lie ahead for those who endeavor to realize the full potential of Augmented Cognition.