System decision framework for augmenting human performance using real-time workload classifiers

2015 ◽  
Author(s):  
Kevin T. Durkee ◽  
Scott M. Pappada ◽  
Andres E. Ortiz ◽  
John J. Feeney ◽  
Scott M. Galster
Keyword(s):  
Real Time ◽  
Human Performance ◽  
Decision Framework

Roles of default-mode network and supplementary motor area in human vigilance performance: evidence from real-time fMRI

2013 ◽  
Vol 109 (5) ◽  
pp. 1250-1258 ◽  
Author(s):  
Oliver Hinds ◽  
Todd W. Thompson ◽  
Satrajit Ghosh ◽  
Julie J. Yoo ◽  
Susan Whitfield-Gabrieli ◽  
...  
Keyword(s):  
Real Time ◽  
Default Mode Network ◽  
Human Performance ◽  
Supplementary Motor Area ◽  
Brain Regions ◽  
Motor Area ◽  
Neural Systems ◽  
Brain State ◽  
Default Mode ◽  
Brain States

We used real-time functional magnetic resonance imaging (fMRI) to determine which regions of the human brain have a role in vigilance as measured by reaction time (RT) to variably timed stimuli. We first identified brain regions where activation before stimulus presentation predicted RT. Slower RT was preceded by greater activation in the default-mode network, including lateral parietal, precuneus, and medial prefrontal cortices; faster RT was preceded by greater activation in the supplementary motor area (SMA). We examined the roles of these brain regions in vigilance by triggering trials based on brain states defined by blood oxygenation level-dependent activation measured using real-time fMRI. When activation of relevant neural systems indicated either a good brain state (increased activation of SMA) or a bad brain state (increased activation of lateral parietal cortex and precuneus) for performance, a target was presented and RT was measured. RTs on trials triggered by a good brain state were significantly faster than RTs on trials triggered by a bad brain state. Thus human performance was controlled by monitoring brain states that indicated high or low vigilance. These findings identify neural systems that have a role in vigilance and provide direct evidence that the default-mode network has a role in human performance. The ability to control and enhance human behavior based on brain state may have broad implications.

Proto Tymer: Human Performance Instrumentation for HyperCard® Prototyping

1989 ◽  
Vol 33 (5) ◽  
pp. 249-253 ◽  
Author(s):  
Dwight P. Miller ◽  
Andrew C. Stone
Keyword(s):  
Real Time ◽  
Human Performance ◽  
Data File ◽  
Graphical Analysis ◽  
Interactive Performance ◽  
Computer Interfaces ◽  
Resultant Data ◽  
Interactive Session ◽  
Design Software ◽  
The Times

As a result of the popularity of using HyperCard® to rapidly prototype equipment and computer interfaces on Macintoshè personal computers, the need ensued to evaluate prototype usability by collecting subjects' interactive performance data in real time. Sandia National Laboratories, in collaboration with Stone Design Software, has developed ProtoTymer2, a HyperCardè stack that can time and record users' interactive sessions with prototypes developed using HyperCardè. While operating in the background, ProtoTymer records the times, locations, and targets (objects clicked) of a subject's inputs during an interactive session. At the conclusion of the session, the resultant data file can be reviewed, summarized, printed, or transferred to a spreadsheet for statistical or graphical analysis. This paper describes ProtoTymer's design approach, features, limitations, and considerations for future versions.

scholarly journals Real-Time Workload Assessment as a Foundation for Human Performance Augmentation

2013 ◽  
pp. 279-288 ◽  
Author(s):  
Kevin Durkee ◽  
Alexandra Geyer ◽  
Scott Pappada ◽  
Andres Ortiz ◽  
Scott Galster
Keyword(s):  
Real Time ◽  
Human Performance

Graphical Method for Evaluating and Predicting the Human Performance in Real Time

2017 ◽  
pp. 327-338
Author(s):  
Mariana-Rodica Milici ◽  
Oana Geman ◽  
Iuliana Chiuchisan ◽  
Laurentiu-Dan Milici
Keyword(s):  
Real Time ◽  
Human Performance ◽  
Graphical Method

Human Performance in Telerobotics Operations

2011 ◽  
Vol 403-408 ◽  
pp. 772-779
Author(s):  
António Espingardeiro
Keyword(s):  
Real Time ◽  
Deep Water ◽  
Broad Spectrum ◽  
Psychological Factors ◽  
Human Performance ◽  
Outer Space ◽  
Construction Sites ◽  
Design And Implementation ◽  
Teleoperated Robots ◽  
Human Participants

The use of teleoperated robots is increasing substantially. The possibility of controlling these machines remotely in dangerous or inaccessible environments like outer space, deep water, nuclear or biologically chemically toxic environments, mines, construction sites and fires proved to be a powerful resource. However the successful requirements for telerobotics operations are still broad and imprecise. In this paper we present an analysis for a set of requirements in telerobotics operations. The approach consisted on testing some physical and psychological factors under the control of a teleoperated robot. The behavior of several human participants was recorded in real time and subsequent analyzed. The research is conducted mainly for understanding some of the factors that can map the human confidence in these kinds of scenarios. With a broad spectrum of immersive displays and network bandwidths increasing every day these requirements are becoming extremely precious for the design and implementation of telerobotics systems.

Real-Time Human Performance Reliability Assessment

2000 ◽  
Vol 44 (22) ◽  
pp. 843-846
Author(s):  
William J. Kolarik ◽  
Jeffrey C. Woldstad ◽  
Shuxia Lu
Keyword(s):  
Real Time ◽  
Human Performance ◽  
Performance Metrics ◽  
Time Interval ◽  
Time Data ◽  
Future Time ◽  
Proposed Model ◽  
Modeling And Forecasting ◽  
Simple Movement ◽  
Prototype Software

This paper describes a real-time conditional human reliability model constructed to predict the likelihood of human performance metrics exceeding critical boundaries in a future time interval. The model is implemented by collecting real-time data from selected performance measures, modeling and forecasting these measures, and then converting the forecast results into reliability measures. To demonstrate the feasibility of the proposed model, a prototype software package has been developed and tested for a simple movement task.

Real-Time Nurse Dispatching Using Dynamic Priority Decision Framework

2020 ◽  
Author(s):  
Canan Gunes Corlu ◽  
John Maleyeff ◽  
Jiaxun Wang ◽  
Kaming Yip ◽  
John Farris
Keyword(s):  
Real Time ◽  
Decision Framework ◽  
Dynamic Priority

scholarly journals NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras

2021 ◽  
Author(s):  
Xin Suo ◽  
Yuheng Jiang ◽  
Pei Lin ◽  
Yingliang Zhang ◽  
Minye Wu ◽  
...  
Keyword(s):  
Real Time ◽  
Human Performance
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