Managing Functional Conflicts and Response Time Delays Of Customer Orders in Discrete Manufacturing Workflows

As digital voice data is increasingly replacing analog in system applications, user interface requirements supporting this technology must be established. This experiment was conducted to determine whether system response time affected a user's ability to control movement of recorded speech while keying in a verbatim report of the speech content. Experienced subjects performed a transcription task under four different response times. Upon completion of the task, the subject ordered the response times from shortest to longest and rank-ordered their preferences for response delay times. Performance data was collected to discover if response time differences affected performance. Subjects were unable to identify the response time delays correctly; and, based on the preference rankings, the subjects were most satisfied with a response time delay range between 100 ms and 150 ms and least satisfied with a response time delay of 250 ms. Subjects stated that with the longest and shortest response time delays they had trouble positioning in the audio. Response time delays did not affect subject performance, although other significant results were found.

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SU-FF-J-07: Analysis of Response Time Delays in An Adaptive Feedback System: Considerations for a Real-Time Intra-Fraction Motion Tracking Couch

Medical Physics ◽

10.1118/1.1997553 ◽

2005 ◽

Vol 32 (6Part4) ◽

pp. 1920-1921

Author(s):

W D'Souza ◽

S Naqvi ◽

C Yu ◽

M Suntha ◽

W Regine

Keyword(s):

Response Time ◽

Real Time ◽

Time Delays ◽

Motion Tracking ◽

Feedback System ◽

Adaptive Feedback

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On the Effectiveness of Digital Contact Tracing and Contact Prevention Under Varying COVID-19 Infection Detection Rates

10.21203/rs.3.rs-179393/v1 ◽

2021 ◽

Author(s):

German José Soldano ◽

Juan Andrés Fraire ◽

Jorge Manuel Finochietto ◽

Rodrigo Quiroga

Keyword(s):

Response Time ◽

Time Delays ◽

Data Privacy ◽

Developed Countries ◽

Contact Tracing ◽

Detection Rates ◽

Agent Based ◽

Infection Detection ◽

Available Technology ◽

Novel Strategy

Abstract A plethora of measures are being combined in the attempt to reduce SARS-CoV-2 spread. Due to its sustainability over time, contact tracing is one of the most frequently applied interventions worldwide, albeit with mixed results. In this work, we evaluate the perfomance of contact tracing for different infection detection rates and response time delays. We also introduce and analyze a novel strategy we call contact prevention. We model the effect of both strategies on contagion dynamics in SERIA, an agent-based simulation platform that implements realistic population-dependent statistical distributions. Results show that diagnostic/response time delays and low infection detection rates greatly impair the effect of contact tracing strategies, while contact prevention remains effective in these scenarios. Therefore, contact prevention could play a significant role in pandemic mitigation, specially in under-developed countries where diagnostic and tracing capabilities are insufficient. Contact prevention could thus sustainably reduce the propagation of respiratory viruses while relying on available technology, respecting data privacy, and most importantly, promoting community-based awareness and social responsibility. Depending on infection detection and app adoption rates, applying a combination of contact tracing and contact prevention could reduce pandemic-related mortality by 20%-56%.

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Abstract 306: Out-of-hospital Cardiac Arrest Response Characteristics Moderate the Effect of Response Time on Survival

Circulation ◽

10.1161/circ.142.suppl_4.306 ◽

2020 ◽

Vol 142 (Suppl_4) ◽

Author(s):

Justin J Boutilier ◽

Clara Stoesser ◽

Christopher L.F. Sun ◽

Steven Brooks ◽

Sheldon Cheskes ◽

...

Keyword(s):

Logistic Regression ◽

Cardiac Arrest ◽

Response Time ◽

Time Delays ◽

Logistic Regression Model ◽

Effect Modification ◽

Response Characteristics ◽

Interaction Terms ◽

Bystander Cpr ◽

Hospital Cardiac Arrest

Background: Research has shown that each minute delay in response time reduces survival from OHCA. Although Utstein variables like public location, witnessed, bystander CPR, and bystander AED shock are known to independently improve survival, how they moderate the effect of response time delays on survival is unknown. Methods: We included OHCAs from the Resuscitation Outcomes Consortium Epistry-Cardiac Arrest database from December 1, 2005 to June 30, 2015. We included all adult, non-traumatic, non-EMS witnessed, and EMS-treated OHCA episodes. We used a logistic regression model to estimate survival to hospital discharge as a function of response time. We adjusted for standard Utstein variables and included interaction terms between response time and public location, bystander witnessed, bystander CPR, and bystander AED shock. With four binary interacted variables, there were a total of sixteen subpopulations, each with a different effect of response time on survival. Results: 83,275 patients were included (15% public, 45% witnessed, 47% CPR, 2% AED shock). Across the 10 subpopulations that comprise 99%+ of the data, a one-minute delay in response time reduced the odds of survival from 1.7% to 10.9%, depending on the arrest characteristics. All interaction tests for effect modification were significant. The reduction in odds of survival was largest for witnessed arrests (OR=0.961; 95% CI: 0.944-0.978), followed by arrests with bystander CPR (OR=0.965; 95% CI: 0.948-0.982) and in public locations (OR=0.978; 95% CI: 0.960-0.996). In contrast, a one-minute delay for arrests with bystander AED shock (OR=1.086; 95% CI: 1.058-1.114) increased the odds of survival. Conclusions: Utstein predictors significantly moderate the effect of response time on survival. Arrests that are witnessed, public location, and/or receive bystander CPR are negatively affected by slower response time. Arrests with a bystander AED shock are not sensitive to response time delays.

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COVID-19 mitigation by digital contact tracing and contact prevention (app-based social exposure warnings)

Scientific Reports ◽

10.1038/s41598-021-93538-5 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Germán J. Soldano ◽

Juan A. Fraire ◽

Jorge M. Finochietto ◽

Rodrigo Quiroga

Keyword(s):

Response Time ◽

Time Delays ◽

Data Privacy ◽

Contact Tracing ◽

Detection Rates ◽

High Exposure ◽

Infection Detection ◽

Available Technology ◽

Novel Strategy ◽

Social Exposure

AbstractA plethora of measures are being combined in the attempt to reduce SARS-CoV-2 spread. Due to its sustainability, contact tracing is one of the most frequently applied interventions worldwide, albeit with mixed results. We evaluate the performance of digital contact tracing for different infection detection rates and response time delays. We also introduce and analyze a novel strategy we call contact prevention, which emits high exposure warnings to smartphone users according to Bluetooth-based contact counting. We model the effect of both strategies on transmission dynamics in SERIA, an agent-based simulation platform that implements population-dependent statistical distributions. Results show that contact prevention remains effective in scenarios with high diagnostic/response time delays and low infection detection rates, which greatly impair the effect of traditional contact tracing strategies. Contact prevention could play a significant role in pandemic mitigation, especially in developing countries where diagnostic and tracing capabilities are inadequate. Contact prevention could thus sustainably reduce the propagation of respiratory viruses while relying on available technology, respecting data privacy, and most importantly, promoting community-based awareness and social responsibility. Depending on infection detection and app adoption rates, applying a combination of digital contact tracing and contact prevention could reduce pandemic-related mortality by 20–56%.

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Temporal Prediction Errors Affect Short-Term Memory Scanning Response Time

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000339 ◽

2016 ◽

Vol 63 (6) ◽

pp. 333-342

Author(s):

Roberto Limongi ◽

Angélica M. Silva

Keyword(s):

Response Time ◽

Short Term Memory ◽

Estimation Error ◽

Predictive Coding ◽

Time Estimation ◽

Prediction Errors ◽

Memory Scanning ◽

Short Term ◽

Term Memory ◽

Temporal Prediction

Abstract. The Sternberg short-term memory scanning task has been used to unveil cognitive operations involved in time perception. Participants produce time intervals during the task, and the researcher explores how task performance affects interval production – where time estimation error is the dependent variable of interest. The perspective of predictive behavior regards time estimation error as a temporal prediction error (PE), an independent variable that controls cognition, behavior, and learning. Based on this perspective, we investigated whether temporal PEs affect short-term memory scanning. Participants performed temporal predictions while they maintained information in memory. Model inference revealed that PEs affected memory scanning response time independently of the memory-set size effect. We discuss the results within the context of formal and mechanistic models of short-term memory scanning and predictive coding, a Bayes-based theory of brain function. We state the hypothesis that our finding could be associated with weak frontostriatal connections and weak striatal activity.

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