Assessing the quality of steady-state visual-evoked potentials for moving humans using a mobile electroencephalogram headset.

Recent advances in mobile electroencephalogram (EEG) systems, featuring non-prep dry electrodes and wireless telemetry, have enabled and promoted the applications of mobile brain-computer interfaces (BCIs) in our daily life. Since the brain may behave differently while people are actively situated in ecologically-valid environments versus highly-controlled laboratory environments, it remains unclear how well the current laboratory-oriented BCI demonstrations can be translated into operational BCIs for users with naturalistic movements. Understanding inherent links between natural human behaviors and brain activities is the key to ensuring the applicability and stability of mobile BCIs. This study aims to assess the quality of steady-state visual-evoked potentials (SSVEPs), which is one of promising channels for functioning BCI systems, recorded using a mobile EEG system under challenging recording conditions, e.g., walking. To systematically explore the effects of walking locomotion on the SSVEPs, this study instructed subjects to stand or walk on a treadmill running at speeds of 1, 2, and 3 mile (s) per hour (MPH) while concurrently perceiving visual flickers (11 and 12 Hz). Empirical results of this study showed that the SSVEP amplitude tended to deteriorate when subjects switched from standing to walking. Such SSVEP suppression could be attributed to the walking locomotion, leading to distinctly deteriorated SSVEP detectability from standing (84.87 ± 13.55%) to walking (1 MPH: 83.03 ± 13.24%, 2 MPH: 79.47 ± 13.53%, and 3 MPH: 75.26 ± 17.89%). These findings not only demonstrated the applicability and limitations of SSVEPs recorded from freely behaving humans in realistic environments, but also provide useful methods and techniques for boosting the translation of the BCI technology from laboratory demonstrations to practical applications

Cognitive Engineering

Cognitive engineering is the application of cognitive psychology and related disciplines to the design and operation of human–machine systems. Cognitive engineering combines both detailed and close study of the human worker in the actual work context and the study of the worker in more controlled environments. Cognitive engineering combines multiple methods and perspectives to achieve the goal of improved system performance. Given the origins of experimental psychology itself in issues regarding the design of human–machine systems, cognitive engineering is a core, or fundamental, discipline within academic psychology

Seven HCI Grand Challenges

This article aims to investigate the Grand Challenges which arise in the current and emerging landscape of rapid technological evolution towards more intelligent interactive technologies, coupled with increased and widened societal needs, as well as individual and collective expectations that HCI, as a discipline, is called upon to address. A perspective oriented to humane and social values is adopted, formulating the challenges in terms of the impact of emerging intelligent interactive technologies on human life both at the individual and societal levels. Seven Grand Challenges are identified and presented in this article: Human-Technology Symbiosis; Human-Environment Interactions; Ethics, Privacy and Security; Well-being, Health and Eudaimonia; Accessibility and Universal Access; Learning and Creativity; and Social Organization and Democracy. Although not exhaustive, they summarize the views and research priorities of an international interdisciplinary group of experts, reflecting different scientific perspectives, methodological approaches and application domains. Each identified Grand Challenge is analyzed in terms of: concept and problem definition; main research issues involved and state of the art; and associated emerging requirements

A Preliminary Human Factors Analysis of Naval Aviation Maintenance Related Mishaps

The article of record as published may be found at https://doi.org/10.4271/983111Naval Aviation has expanded its efforts to eliminate mishaps; especially those linked to human error. This focus was expanded to cover not only aircrew error, but maintainor error as well. To examine maintenance error, the Naval Safety Center's Human Factors Accident Classification System (HFACS) was adapted to analyze eight fiscal years of major maintenance mishaps. The HFACS Maintenance Extension effectively profiled the nature of maintenance errors and depicted the latent supervisory and maintainer conditions that "set the stage" for subsequent unsafe maintainer acts

An education at the Naval Postgraduate School take you places.

"The Naval Postgraduate School affords officers a unique opportuity to work simultaneously as full-time officer and as full-time student, each demanding in its own right. It was at NPS, while serving as a Naval Officer, a student, and a professor, that I truly understood the need for absolute determination and resolve to perform my best in order to accomplish my goals. Those challenging yet rewarding years equipped me with the skills to distinguish the opportunities that lie within or result from hard work. And, opportunity is what drives my engagement, excitement and pursuit of innovative science and technology solutions for our Warfighters."US Navy (USN) author

Advances In Cross-Cultural Decision Making

The primary focus of the Cross Cultural Decision Making field is specifically on the intersections between psychosocial theory provided from the social sciences and methods of computational modeling provided from computer science and mathematics. While the majority of research challenges that arise out of such an intersection fall quite reasonably under the rubric of “human factors”, although these topics are broad in nature, this book is designed to focus on crucial questions regarding data acquisition as well as reconciliation of mathematical and psychosocial modeling methodologies. The utility of this area of research is to aid the design of products and services which are utilized across the globe in the variety of cultures and aid in increasing the effectiveness of cross-cultural group collaboration. To aid a researcher in defining the requirements and metrics for this complex topic applications and use cases of CCDM can be found in sections: I. Applications of Human, Social, Culture Behavioral Modeling Technology. IV. Cross Cultural Decision Making: Implications for Individual and Team Training. X. Tactical Culture Training: Narrative, Personality, and Decision-Making. XII. Use Cases of Cross Cultural Decision Making. Theories and techniques for understanding, capturing, and modeling the components of Culture are covered in these sections: II. Assessing and Developing Cross-Cultural Competence. III. Civilizational Change: Ideological, Economic, and Historical Change. V. Cultural Models for Decision Making. VI. Extracting Understanding from Diverse Data Sources. VII. Hybrid & Multi-Model Computational Techniques for HSCB Applications. IX. Socio-cultural Models and Decision-Making. VIII. Sense Making in Other Cultures: Dynamics of Interaction. XI. Understanding. The science and technology provided in this book represents the latest available from the international community. It is hoped that this content can be used to tackle two of the biggest challenges in this area: 1) Unification and standardization of data being collected for CCDM applications/research so these data can support as many different thrusts under the CCDM umbrella as possible; and 2) Validation and verification with respect to utility and underlying psychosocial theory. Solutions for both of these must be in the context of, and will require, sound methods of integrating a complex array of quite different behavioral models and modeling techniques. This book would of special value to researchers and practitioners in involved in the design of products and services which are marketed and utilized in a variety of different countries. Seven other titles in the Advances in Human Factors and Ergonomics Series are: Advances in Human Factors and Ergonomics in Healthcare Advances in Applied Digital Human Modeling Advances in Cognitive Ergonomics Advances in Occupational, Social and Organizational Ergonomics Advances in Human Factors, Ergonomics and Safety in Manufacturing and Service Industries Advances in Ergonomics Modeling & Usability Evaluation Advances in Neuroergonomics and Human Factors of Special Populations

A benchmark usability study of the tactical decision making under stress decision support system

Distinguished Alumni Award Program author. CAPT Dylan Schmorrow, USN (Presented 26 July 12)This study evaluates the usability of a U.S. Navy Decision Support System (DSS). The DSS was developed to enhance the performance of tactical decision makers within a Navy Combat Information Center. The goals of this study were to test the DSS against usability criteria and objectives to track future redesign efforts and system improvements. The purpose of this analysis was to (1) assess the system's usability, (2) identify problems areas in the graphical user interface, (3) report trends in user feedback, and (4) provide recommendations addressing major usability issues encountered by participants. The study tested whether the DSS met the usability objectives of (a) 90% successful task completion, (b) ease of use ratings of somewhat easy or better, and (c) satisfaction ratings of somewhat satisfied or better. The DSS did not meet these usability objectives for task completion or ease or use, however the DSS did meet the usability objective for user satisfaction. All participants reported that they enjoyed working with the DSS and believed that it would be a significant step forward in information management. Based on the usability data gathered in the study, recommendations are provided to address the usability issueshttp://www.archive.org/details/benchmarkusabili00schmU.S. Navy (U.S.N.) author

A human error analysis and model of naval aviation maintenance related mishaps

Naval Aviation is in the midst of a major transformation as it attempts to come to terms with the demands of maintaining operational readiness in the face of diminishing budgets and reduced manning. Diminishing operating and procurement budgets mean that Naval Aviation is for the most part "making do" with existing aircraft. Over the past decade, one in four Naval Aviation mishaps were partially attributable to maintenance error. The present operating environment underscores the need to address maintenance error and its causes. The current study accomplishes three things. First, it evaluates 470 Naval Aviation mishaps with distinct maintenance error correlates. Second, it categorizes those errors using a taxonomy based upon current organizational and psychological theories of human error. Third, it mathematically models the consequences of these errors and uses the models to (a) predict the .frequency with which maintenance-based mishaps will occur in the future and (b) approximate the potential cost savings from the reduction of each error type.http://archive.org/details/ahumerrornalysis1094544430Lieutenant, United States NavyApproved for public release; distribution is unlimited