scholarly journals Response Time in Somatosensory Discrimination Tasks is Sensitive to Neurological Insult

2019 ◽  
pp. 1-7 ◽  
Author(s):  
Tommerdahl M ◽  
Favorov OV ◽  
Francisco EM ◽  
Holden JK ◽  
Lensch R ◽  
...  
Keyword(s):  
Response Time ◽  
Human Performance ◽  
Poor Performance ◽  
Frequency Discrimination ◽  
Neurological Status ◽  
Timing Perception ◽  
Trade Offs ◽  
Significant Difference ◽  
Speed Accuracy ◽  
Amplitude Discrimination

Background: A number of reports have demonstrated significant differences in human performance on diverse somatosensory-based discriminatory tasks dependent on the individual’s neurological status. For example, compromised neurological status has been shown to lead to poor performance on tactile-based tasks such as vibrotactile stimulus amplitude discrimination, frequency discrimination, temporal order judgement, timing perception, and reaction time, and these deficits have been observed across a diverse spectrum of neurological disorders. Results: In this report, response time of recently concussed individuals (1-3 days) was found to be significantly longer (~25%) than that of non-concussed individuals (i.e., controls) and individuals recovering from concussion (10+ days post-concussion). Additionally, a significant difference was found in response time on two different tasks. Timing perception, which is hypothesized to engage significantly more neural circuitry than amplitude discrimination, had a significantly longer average response time than amplitude discrimination. Conclusions: These findings strongly suggest that response time could be used as a discriminative measure when evaluating overall neurological health and/or cognitive function, and this is consistent with findings of other reports that examined speed-accuracy trade-offs on discrimination tasks.

scholarly journals Analysis of speed-accuracy trade-offs using the Wiener diffusion model for choice reaction times

2021 ◽  
Author(s):  
Annalise Aleta LaPlume
Keyword(s):  
Response Time ◽  
Diffusion Model ◽  
Response Times ◽  
Reaction Times ◽  
Response Time Data ◽  
Choice Response ◽  
Time Data ◽  
Trade Offs ◽  
R Programming ◽  
Speed Accuracy

A methodology review paper on the utility and challenges of modelling speed-accuracy trade-offs in response time data. The paper reviews the importance of accounting for speed-accuracy trade-offs when measuring response times, and provides background on diffusion models for response time data. It then describes a practical software implementation of the EZ-diffusion model to model speed-accuracy trade-offs in choice response time data using the R programming language.

scholarly journals Quantifying the benefits of using decision models with response time and accuracy data

2020 ◽  
Vol 52 (5) ◽  
pp. 2142-2155 ◽  
Author(s):  
Tom Stafford ◽  
Angelo Pirrone ◽  
Mike Croucher ◽  
Anna Krystalli
Keyword(s):  
Decision Making ◽  
Response Time ◽  
Drift Rate ◽  
Behavioral Science ◽  
Decision Models ◽  
Group Differences ◽  
Decision Modeling ◽  
Trade Offs ◽  
Typical Experiment ◽  
Speed Accuracy

Abstract Response time and accuracy are fundamental measures of behavioral science, but discerning participants’ underlying abilities can be masked by speed–accuracy trade-offs (SATOs). SATOs are often inadequately addressed in experiment analyses which focus on a single variable or which involve a suboptimal analytic correction. Models of decision-making, such as the drift diffusion model (DDM), provide a principled account of the decision-making process, allowing the recovery of SATO-unconfounded decision parameters from observed behavioral variables. For plausible parameters of a typical between-groups experiment, we simulate experimental data, for both real and null group differences in participants’ ability to discriminate stimuli (represented by differences in the drift rate parameter of the DDM used to generate the simulated data), for both systematic and null SATOs. We then use the DDM to fit the generated data. This allows the direct comparison of the specificity and sensitivity for testing of group differences of different measures (accuracy, reaction time, and the drift rate from the model fitting). Our purpose here is not to make a theoretical innovation in decision modeling, but to use established decision models to demonstrate and quantify the benefits of decision modeling for experimentalists. We show, in terms of reduction of required sample size, how decision modeling can allow dramatically more efficient data collection for set statistical power; we confirm and depict the non-linear speed–accuracy relation; and we show how accuracy can be a more sensitive measure than response time given decision parameters which reasonably reflect a typical experiment.

scholarly journals Quantifying the benefits of using decision models with response time and accuracy data

2019 ◽  
Author(s):  
Tom Stafford ◽  
Angelo Pirrone ◽  
Mike Croucher ◽  
Anna Krystalli
Keyword(s):  
Decision Making ◽  
Response Time ◽  
Drift Rate ◽  
Decision Models ◽  
Group Differences ◽  
Decision Modelling ◽  
Trade Offs ◽  
Specificity And Sensitivity ◽  
Typical Experiment ◽  
Speed Accuracy

Response time and accuracy are fundamental measures of behavioural science, but discerning participants’ underlying abilities can be masked by speed-accuracy trade-offs (SATOs). Although a well-known possibility, SATOs are often inadequately addressed in experiment analyses which focus on a single variable (e.g. psychophysics paradigms analysing accuracy alone), or which involve a suboptimal analytic correction (e.g. dividing accuracy by response time). Models of decision making, such as the drift diffusion model (DDM), provide a principled account of the decision making process, allowing the recovery of SATO-unconfounded decision parameters from observed behavioural variables. For plausible parameters of a typical between-groups experiment we simulate experimental data, for both real and null group differences in participants’ ability to discriminate stimuli (represented by differences in the drift rate parameter of the DDM used to generate the simulated data), for both systematic and null SATOs. We then use the DDM to fit the generated data. This allows the direct comparison of the specificity and sensitivity for testing of group differences of different measures (accuracy, reaction time and the drift rate from the model fitting). Our purpose here is not to make a theoretical innovation in decision modelling, but to use established decision models to demonstrate and quantify the benefits of decision modelling for experimentalists. We show, in terms of reduction of required sample size, how decision modelling can allow dramatically more efficient data collection for set statistical power; we confirm and depict the non-linear speed-accuracy relation; and we show how accuracy can be a more sensitive measure than response time given decision parameters which reasonably reflect a typical experiment. Our results are supported by an online interactive data explorer.

Dual Goals for Speed and Accuracy on the Same Performance Task

2012 ◽  
Vol 11 (3) ◽  
pp. 118-126 ◽  
Author(s):  
Olive Emil Wetter ◽  
Jürgen Wegge ◽  
Klaus Jonas ◽  
Klaus-Helmut Schmidt
Keyword(s):  
Memory Scanning ◽  
Performance Task ◽  
Performance Tasks ◽  
Trade Off ◽  
Test Experiment ◽  
Trade Offs ◽  
New Finding ◽  
Sternberg Paradigm ◽  
Speed Accuracy ◽  
Speed And Accuracy

In most work contexts, several performance goals coexist, and conflicts between them and trade-offs can occur. Our paper is the first to contrast a dual goal for speed and accuracy with a single goal for speed on the same task. The Sternberg paradigm (Experiment 1, n = 57) and the d2 test (Experiment 2, n = 19) were used as performance tasks. Speed measures and errors revealed in both experiments that dual as well as single goals increase performance by enhancing memory scanning. However, the single speed goal triggered a speed-accuracy trade-off, favoring speed over accuracy, whereas this was not the case with the dual goal. In difficult trials, dual goals slowed down scanning processes again so that errors could be prevented. This new finding is particularly relevant for security domains, where both aspects have to be managed simultaneously.

PERBEDAAN FINANCIAL PERFORMANCE PASCA SECONDARY OFFERINGS

Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 41-49
Author(s):  
Djaja Perdana ◽  
Herbowo Herbowo
Keyword(s):  
Financial Performance ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Poor Performance ◽  
Rank Test ◽  
Growth Ratio ◽  
Significant Difference ◽  
Before And After ◽  
Signed Rank Test ◽  
Asset Turnover

This study aims to examine the differences in corporate financial performance before and after secondary offerings. The financial performance is proxied by WCR, DER, Solvency, ROA, ROE, Asset Turnover (ATO) and Growth ratio which representing the value of liquidity, financing, activity, performance and growth of the firm. The study involved 67 samples of the companies listed on the Indonesia Stock Exchange conducting secondary offerings during 2008-2013 period and selected through purposive random sampling method and using Financial Statement data from 2005-2016 period. Hypothesis test is performed using Wilcoxon Signed Rank test. The results of this study indicate that there is no significant difference in the ratio of Solvency, ROA and ROE between before and after secondary offerings, but there are significant differences in the ratio of WCR, DER, Asset Turnover and Growth. WCR ratio after secondary offerings increased, while DER ratio after secondary offerings decreased, the condition of both ratios showed better performance. While the indication of poor performance seen in decreasing asset turnover ratio and growth ratio.Keywords : agency theory, financial performance, secondary offerings

Evaluation and Comparison of Artificial Intelligence Vision Aids: Orcam MyEye 1 and Seeing AI

2021 ◽  
pp. 0145482X2110274
Author(s):  
Christina Granquist ◽  
Susan Y. Sun ◽  
Sandra R. Montezuma ◽  
Tu M. Tran ◽  
Rachel Gage ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Human Performance ◽  
Visual Impairments ◽  
Light Level ◽  
Viewing Distance ◽  
Light Perception ◽  
Time To Completion ◽  
Significant Difference ◽  
Text Reading ◽  
Size Contrast

Introduction: We compared the print-to-speech properties and human performance characteristics of two artificial intelligence vision aids, Orcam MyEye 1 (a portable device) and Seeing AI (an iPhone and iPad application). Methods: There were seven participants with visual impairments who had no experience with the two reading aids. Four participants had no light perception. Two individuals with measurable acuity and one with light perception were tested while blindfolded. We also tested performance with text of varying appearance in varying viewing conditions. To evaluate human performance, we asked the participants to use the devices to attempt 12 reading tasks similar to activities of daily living. We assessed the ranges of text attributes for which reading was possible, such as print size, contrast, and light level. We also assessed if individuals could complete tasks with the devices and measured accuracy and completion time. Participants also completed a survey concerning the two aids. Results: Both aids achieved greater than 95% accuracy in text recognition for flat, plain word documents and ranged from 13 to 57% accuracy for formatted text on curved surfaces. Both aids could read print sizes as small as 0.8M (20/40 Snellen equivalent, 40 cm viewing distance). Individuals successfully completed 71% and 55% ( p = .114) of tasks while using Orcam MyEye 1 and Seeing AI, respectively. There was no significant difference in time to completion of tasks ( p = .775). Individuals believed both aids would be helpful for daily activities. Discussion: Orcam MyEye 1 and Seeing AI had similar text-reading capability and usability. Both aids were useful to users with severe visual impairments in performing reading tasks. Implications for Practitioners: Selection of a reading device or aid should be based on individual preferences and prior familiarity with the platform, since we found no clear superiority of one solution over the other.

Validating Human Performance Models: Building a House without Bricks

2020 ◽  
Vol 64 (1) ◽  
pp. 1511-1514
Author(s):  
Richard Steinberg ◽  
Raytheon Company ◽  
Alice Diggs ◽  
Raytheon Company ◽  
Jade Driggs
Keyword(s):  
Air Force ◽  
Human Performance ◽  
Control Program ◽  
Real Data ◽  
Performance Model ◽  
Force Model ◽  
Performance Models ◽  
Actual System ◽  
Support Design ◽  
Trade Offs

Verification and validation (V&V) for human performance models (HPMs) can be likened to building a house with no bricks, since it is difficult to obtain metrics to validate a model when the system is still in development. HPMs are effective for performing trade-offs between the human system designs factors including number of operators needed, the role of automated tasks versus operator tasks, and member task responsibilities required to operate a system. On a recent government contract, our team used a human performance model to provide additional analysis beyond traditional trade studies. Our team verified the contractually mandated staff size for using the system. This task demanded that the model have sufficient fidelity to provide information for high confidence staffing decisions. It required a method for verifying and validating the model and its results to ensure that it accurately reflected the real world. The situation caused a dilemma because there was no actual system to gather real data to use to validate the model. It is a challenge to validate human performance models, since they support design decisions prior to system. For example, crew models are typically inform the design, staffing needs, and the requirements for each operator’s user interface prior to development. This paper discusses a successful case study for how our team met the V&V challenges with the US Air Force model accreditation authority and successfully accredited our human performance model with enough fidelity for requirements testing on an Air Force Command and Control program.

Examining Methods for Combining Speed and Accuracy in a Go/No-Go Vigilance Task

2020 ◽  
Vol 64 (1) ◽  
pp. 1202-1206
Author(s):  
Shane T. Mueller ◽  
Lamia Alam ◽  
Gregory J. Funke ◽  
Anne Linja ◽  
Tauseef Ibne Mamun ◽  
...  
Keyword(s):  
Human Factors ◽  
Response Time ◽  
Human Performance ◽  
Vigilance Task ◽  
Vigilance Decrement ◽  
Performance Tasks ◽  
Linear Ballistic Accumulator ◽  
Linear Ballistic Accumulator Model ◽  
Speed And Accuracy ◽  
Measures Of Performance

In many human performance tasks, researchers assess performance by measuring both accuracy and response time. A number of theoretical and practical approaches have been proposed to obtain a single performance value that combines these measures, with varying degrees of success. In this report, we examine data from a common paradigm used in applied human factors assessment: a go/no-go vigilance task (Smith et al., 2019). We examined whether 12 different measures of performance were sensitive to the vigilance decrement induced by the design, and also examined how the different measures were correlated. Results suggest that most combined measures were slight improvements over accuracy or response time alone, with the most sensitive and representative result coming from the Linear Ballistic Accumulator model. Practical lessons for applying these measures are discussed.

scholarly journals Evidence from cluster analysis for differentiation of antisaccade performance groups based on speed/accuracy trade-offs

2012 ◽  
Vol 85 (2) ◽  
pp. 274-277 ◽  
Author(s):  
Qingyang Li ◽  
Michael T. Amlung ◽  
Manouela Valtcheva ◽  
Jazmin Camchong ◽  
Benjamin P. Austin ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Trade Offs ◽  
Speed Accuracy

Chemoradiotherapy is an Alternative Choice for Patients with Primary Mediastinal Seminoma

2021 ◽  
Author(s):  
Yirui Zhai ◽  
Bo Chen ◽  
Xiaoli Feng ◽  
Kan Liu ◽  
Shulian Wang ◽  
...  
Keyword(s):  
Univariate Analysis ◽  
Progression Free Survival ◽  
Poor Performance ◽  
Rank Test ◽  
Clinicopathologic Characteristics ◽  
Cancer Specific Survival ◽  
Adjacent Structures ◽  
Significant Difference ◽  
Mediastinal Seminoma ◽  
Alternative Choice

Abstract Background: The low incidence of primary mediastinal seminomas has precluded the development of clinical trials on mediastinal seminomas. We investigated the clinicopathologic characteristics, prognosis of patients with primary mediastinal seminomas as well as the efficiency of nonsurgical treatments compared with treatments containing surgery.Methods: We retrospectively collected data on the clinicopathologic characteristics, treatments, toxicities, and survival of 27 patients from a single center between 2000 and 2018. Patients were divided into two groups according to whether they received operation. Survivals were assessed using the Kaplan-Meier method. Univariate analysis was performed using the log-rank test.Results: The median age was 28 (13-63) years. The most common symptoms were chest pain (29.6%), cough (25.9%), and dyspnea (22.2%). There were 13 and 14 patients in surgery and non-surgery group. Patients in the non-surgical group were more likely to be with poor performance scores (100% vs.76.9%) and disease invaded to adjacent structures(100% vs.76.9%) especially great vessels(100% vs.46.2%).The median follow-up period was 32.23 (2.7-198.2) months. There was no significant difference of overall survival (5-year 100% vs 100%), cancer-specific survival (5-year 100% vs.100%), local regional survival (5-year 91.7% vs.90.0%, p=0.948) , distant metastasis survival (5-year 100.0% vs. 90.9%, p=0.340) and progression-free survival (82.5% vs.90.0%, p=0.245) between patients with and without surgery. Conclusions: Primary mediastinal seminoma was with favorable prognosis, even though frequently invasion into adjacent structures brings difficulties to surgery administration. Chemoradiotherapy is an alternative treatment with both efficacy and safety.

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