A TOD dataset to validate human observer models for target acquisition modeling and objective sensor performance testing

Target acquisition in military and industrial settings is often augmented by a cueing system, whereby a computer gives advice that can be accepted or rejected by the human observer. Two human factors issues involved with the use of such cuers are: 1) how to present the cue to the observer, and 2) to what degree will the observer use or rely upon the provided information, particularly in cases where the cuer is not wholly reliable. In this paper, we consider both of these issues. Infrared military-type images that were overlaid with cues to suggest target presence were presented to six groups of observers. The observers were informed that the cues were not always correct. We presented several different cue interfaces to our observers. When questioned, the observers indicated a preference for particular cue types. Overall, the observers' opinions about the cue types were reflected in their acquisition results. Observer performance was higher when cued than when not cued. Although the cues were effective, different cue reliability levels did not influence the results to a large degree.

Download Full-text

An Inductive Sensing System to Measure In-Socket Residual Limb Displacements for People Using Lower-Limb Prostheses

Sensors ◽

10.3390/s18113840 ◽

2018 ◽

Vol 18 (11) ◽

pp. 3840 ◽

Cited By ~ 12

Author(s):

Katrina Henrikson ◽

Ethan Weathersby ◽

Brian Larsen ◽

John Cagle ◽

Jake McLean ◽

...

Keyword(s):

Performance Testing ◽

Calibration Procedure ◽

Embedded Sensors ◽

Residual Limb ◽

Sensor Performance ◽

Embedded Sensing ◽

Sensing System ◽

Prosthetic Socket ◽

Low Profile ◽

Inductive Sensors

The objective of this research was to assess the performance of an embedded sensing system designed to measure the distance between a prosthetic socket wall and residual limb. Low-profile inductive sensors were laminated into prosthetic sockets and flexible ferromagnetic targets were created from elastomeric liners with embedded iron particles for four participants with transtibial amputation. Using insights from sensor performance testing, a novel calibration procedure was developed to quickly and accurately calibrate the multiple embedded sensors. The sensing system was evaluated through laboratory tests in which participants wore sock combinations with three distinct thicknesses and conducted a series of activities including standing, walking, and sitting. When a thicker sock was worn, the limb typically moved further away from the socket and peak-to-peak displacements decreased. However, sensors did not measure equivalent distances or displacements for a given sock combination, which provided information regarding the fit of the socket and how a sock change intervention influenced socket fit. Monitoring of limb–socket displacements may serve as a valuable tool for researchers and clinicians to quantitatively assess socket fit.

Download Full-text

Steering Committee Progress Report on Hydrogen Sensor Performance Testing and Evaluation under the Memorandum of Agreement between NREL, U.S. DOE and JRC-IET, EC

10.2172/1060611 ◽

2012 ◽

Author(s):

W. Buttner ◽

M. Post ◽

R. Burgess ◽

C. Rivkin ◽

L. Boon-Brett ◽

...

Keyword(s):

Performance Testing ◽

Hydrogen Sensor ◽

Steering Committee ◽

Progress Report ◽

Sensor Performance ◽

Testing And Evaluation

Download Full-text

Read, Understand, Learn, & Excel: Development and Testing of an Automated Reading Strategy Detection Algorithm for Postsecondary Students

American Journal of Speech-Language Pathology ◽

10.1044/2019_ajslp-18-0181 ◽

2019 ◽

Vol 28 (3) ◽

pp. 1257-1267 ◽

Cited By ~ 2

Author(s):

Priya Kucheria ◽

McKay Moore Sohlberg ◽

Jason Prideaux ◽

Stephen Fickas

Keyword(s):

Academic Success ◽

Undergraduate Students ◽

Expository Text ◽

Reading Strategy ◽

Detection Algorithm ◽

Expository Texts ◽

Human Observer ◽

Behavioral Strategies ◽

Periodic Review ◽

Wide Range

PurposeAn important predictor of postsecondary academic success is an individual's reading comprehension skills. Postsecondary readers apply a wide range of behavioral strategies to process text for learning purposes. Currently, no tools exist to detect a reader's use of strategies. The primary aim of this study was to develop Read, Understand, Learn, & Excel, an automated tool designed to detect reading strategy use and explore its accuracy in detecting strategies when students read digital, expository text.MethodAn iterative design was used to develop the computer algorithm for detecting 9 reading strategies. Twelve undergraduate students read 2 expository texts that were equated for length and complexity. A human observer documented the strategies employed by each reader, whereas the computer used digital sequences to detect the same strategies. Data were then coded and analyzed to determine agreement between the 2 sources of strategy detection (i.e., the computer and the observer).ResultsAgreement between the computer- and human-coded strategies was 75% or higher for 6 out of the 9 strategies. Only 3 out of the 9 strategies–previewing content, evaluating amount of remaining text, and periodic review and/or iterative summarizing–had less than 60% agreement.ConclusionRead, Understand, Learn, & Excel provides proof of concept that a reader's approach to engaging with academic text can be objectively and automatically captured. Clinical implications and suggestions to improve the sensitivity of the code are discussed.Supplemental Materialhttps://doi.org/10.23641/asha.8204786

Download Full-text