Estimation of Cognitive Distraction from Driver Gazing

In their study, the authors sought to generate rules for cognitive distractions of car drivers using data from a driving simulation environment. They collected drivers' eye-movement and driving data from 18 research participants using a simulator. Each driver drove the same 15-minute course two times. The first drive was normal driving (no-load driving), and the second drive was driving with a mental arithmetic task (load driving), which the authors defined as cognitive-distraction driving. To generate rules of distraction driving using a machine-learning tool, they transformed the data at constant time intervals to generate qualitative data for learning. Finally, the authors generated rules using a Support Vector Machine (SVM).

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Causal coherence analysis of heart rate variability and systolic blood pressure variability under mental arithmetic task load

Biological Psychology ◽

10.1016/j.biopsycho.2004.07.001 ◽

2005 ◽

Vol 69 (2) ◽

pp. 217-227 ◽

Cited By ~ 15

Author(s):

Kohzoh Yoshino ◽

Katsunori Matsuoka

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Blood Pressure Variability ◽

Mental Arithmetic ◽

Coherence Analysis ◽

Arithmetic Task ◽

Task Load ◽

Mental Arithmetic Task ◽

Systolic Blood Pressure Variability ◽

Causal Coherence

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Decision Fusion of EEG and fNIRS Signals

10.31224/osf.io/ztj9k ◽

2019 ◽

Author(s):

Fares Al-Shargie

Keyword(s):

Mental Stress ◽

Near Infrared ◽

Time Pressure ◽

Functional Neuroimaging ◽

Mental Arithmetic ◽

Decision Fusion ◽

Support Vector ◽

Functional Near Infrared Spectroscopy ◽

Arithmetic Task ◽

Mental Arithmetic Task

In this study, we investigated the use of multimodal functional neuroimaging in detecting mental stress on the prefrontal cortex (PFC). We recorded Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS) simultaneously from 20-subjects performing mental arithmetic task under control and stress conditions. Stress was induced in this study based on two established stressors – time pressure and negative feedback about peer performance. We explored decision fusion by using support vector machine classifier for each modality, and optimizing the classifiers based on Receiver Operating Characteristic (ROC) curve values. Experiment results revealed significant reduction in alpha rhythm and mean change in concentration of oxygenated hemoglobin at PFC when stressed, p<0.001 and 0.0001 respectively. The decision fusion improved significantly the detection rate of mental stress by +7.76% and +10.57%, when compared to sole modality of EEG and fNIRS, respectively.

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Mental arithmetic task load recognition using EEG signal and Bayesian optimized K-nearest neighbor

International Journal of Information Technology ◽

10.1007/s41870-021-00807-7 ◽

2021 ◽

Author(s):

Lakhan Dev Sharma ◽

Himanshu Chhabra ◽

Urvashi Chauhan ◽

Ritesh Kumar Saraswat ◽

Ramesh Kumar Sunkaria

Keyword(s):

Nearest Neighbor ◽

Mental Arithmetic ◽

Eeg Signal ◽

K Nearest Neighbor ◽

Arithmetic Task ◽

Task Load ◽

Mental Arithmetic Task

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Anti-Heartbeat-Evoked Potentials Performance in Event-Related Potentials-Based Mental Workload Assessment

Frontiers in Physiology ◽

10.3389/fphys.2021.744071 ◽

2021 ◽

Vol 12 ◽

Author(s):

Sangin Park ◽

Jihyeon Ha ◽

Laehyun Kim

Keyword(s):

Evoked Potentials ◽

Mental Arithmetic ◽

Mental Workload ◽

Event Related Potentials ◽

Classification Performance ◽

Event Related Potential ◽

Support Vector ◽

Arithmetic Task ◽

Related Potentials ◽

Mental Arithmetic Task

The aim of this study was to determine the effect of heartbeat-evoked potentials (HEPs) on the performance of an event-related potential (ERP)-based classification of mental workload (MWL). We produced low- and high-MWLs using a mental arithmetic task and measured the ERP response of 14 participants. ERP trials were divided into three conditions based on the effect of HEPs on ERPs: ERPHEP, containing the heartbeat in a period of 280–700ms in ERP epochs after the target; ERPA-HEP, not including the heartbeat within the same period; and ERPT, all trials including ERPA-HEP and ERPHEP. We then compared MWL classification performance using the amplitude and latency of the P600 ERP among the three conditions. The ERPA-HEP condition achieved an accuracy of 100% using a radial basis function-support vector machine (with 10-fold cross-validation), showing an increase of 14.3 and 28.6% in accuracy compared to ERPT (85.7%) and ERPHEP (71.4%), respectively. The results suggest that evoked potentials caused by heartbeat overlapped or interfered with the ERPs and weakened the ERP response to stimuli. This study reveals the effect of the evoked potentials induced by heartbeats on the performance of the MWL classification based on ERPs.

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Intranasal oxytocin reduces heart rate variability during a mental arithmetic task: A randomised, double-blind, placebo-controlled cross-over study

Progress in Neuro-Psychopharmacology and Biological Psychiatry ◽

10.1016/j.pnpbp.2017.08.016 ◽

2018 ◽

Vol 81 ◽

pp. 408-415 ◽

Cited By ~ 12

Author(s):

Lincoln M. Tracy ◽

Stephen J. Gibson ◽

Izelle Labuschagne ◽

Nellie Georgiou-Karistianis ◽

Melita J. Giummarra

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Mental Arithmetic ◽

Double Blind ◽

Arithmetic Task ◽

Double Blind Placebo ◽

Mental Arithmetic Task

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Does visual exposure to one's pet regulate stress levels during the mental arithmetic task?

10.32920/ryerson.14657019 ◽

2021 ◽

Author(s):

Natalie Ein

Keyword(s):

Stress Reactivity ◽

Mental Arithmetic ◽

Self Report ◽

Induce Stress ◽

Psychosocial Stressor ◽

Arithmetic Task ◽

Visual Exposure ◽

Physiological Assessment ◽

Mental Arithmetic Task

This thesis examined the role of viewing a picture of one’s pet as a mechanism for alleviating the symptoms of stress. The mental arithmetic task (MAT), a psychosocial stressor was used to induce stress. Participants were randomly assigned into one of six visual conditions: either a picture of their personal pet (n = 9), an unfamiliar animal (n = 9), a person who is supportive and important to the participant (n = 9), an unfamiliar person to the participant (n =8), a pleasant image (control 1) (n = 8) or no image (control 2) (n = 8). Stress reactivity, both physical (e.g., blood pressure) and subjective (self-reported anxiety), were measured. Findings indicated that contrary to the hypothesis, viewing a picture of one’s personal pet did not reduce stress reactivity, measured either subjectively (self-report) or objectively (physiological assessment). However, the study suggests that various images can influence stress reactivity.

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Do Reward-Related Distractors Impair Cognitive Performance? Perhaps Not

Collabra Psychology ◽

10.1525/collabra.169 ◽

2019 ◽

Vol 5 (1) ◽

Cited By ~ 1

Author(s):

Dorottya Rusz ◽

Erik Bijleveld ◽

Michiel A. J. Kompier

Keyword(s):

Cognitive Control ◽

Cognitive Performance ◽

Mental Arithmetic ◽

Negative Impact ◽

Arithmetic Task ◽

Bayesian Analyses ◽

Monetary Rewards ◽

Mental Arithmetic Task ◽

Task Irrelevant ◽

Math Problems

Over a hundred prior studies show that reward-related distractors capture attention. It is less clear, however, whether and when reward-related distractors affect performance on tasks that require cognitive control. In this experiment, we examined whether reward-related distractors impair performance during a demanding arithmetic task. Participants (N = 81) solved math problems, while they were exposed to task-irrelevant stimuli that were previously associated with monetary rewards (vs. not). Although we found some evidence for reward learning in the training phase, results from the test phase showed no evidence that reward-related distractors harm cognitive performance. This null effect was invariant across different versions of our task. We examined the results further with Bayesian analyses, which showed positive evidence for the null. Altogether, the present study showed that reward-related distractors did not harm performance on a mental arithmetic task. When considered together with previous studies, the present study suggests that the negative impact of reward-related distractors on cognitive control is not as straightforward as it may seem, and that more research is needed to clarify the circumstances under which reward-related distractors harm cognitive control.

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