Skin Conductance Research Articles

Effect of swearing on physical performance: a mini-review

Swearing, or using taboo language with the potential to offend, has been shown to improve physical performance during short and intense tasks requiring strength and power development. While consistent ergogenic effects of swearing have been observed across studies, the mechanisms by which swearing impacts physical performance are not fully clear. Swearing has been shown to modulate physiological (i.e., heart rate, blood pressure, skin conductance), psychological (i.e., state disinhibition), and nociceptive (i.e., pain threshold, pain tolerance, pain perception) responses, thus making it plausible that these mechanisms allow swearing to positively impact physical performance. A variety of dosages of swearing (i.e., word used, intensity, frequency, quantity) have been reported to improve physical performance. Although habituation to the positive physical performance effects of swearing has not been explored formally through empirical research, habituation to swearing has been observed in other contexts. From a practical application standpoint, swearing represents a low-risk, effective, and inexpensive intervention that has the potential to acutely improve physical performance although the taboo nature of swearing may limit its utility in real-world situations. The purpose of the following review is to provide an overview of available evidence on swearing and physical performance and discuss likely underlying mechanisms. Exploration of different swearing approaches and habituation will also be highlighted and suggestions for future research will be discussed, to more comprehensively understand if swearing can be strategically used for performance enhancement.

Attracting Visual Attention in a Digital Age

The purpose of this study was to determine whether previously established visual attention patterns remained intact during video scenes designed to elicit specific emotions using a novel suite of biosensors. To examine the relationship between visual attention and emotion, data from eye tracking, facial expression recognition (FER), and galvanic skin response (GSR) combined with survey data were used to identify the bottom-up and top-down features of saliency in videos that contributed to their “interestingness.” Using a mixed-methods design and convenience sampling, participants (N = 42) watched 60 video clips designed to evoke different emotional responses (positive, neutral, or negative). The results indicated that using a suite of biosensors to examine the impacts of bottom-up and top-down features of visual attention was effective.

Investigation of Possible Sources of Electrodermal Activity in Surgical Personnel to Assess Workplace Stress Levels

Objective: The aim of this study was to evaluate alternative measurement points to assess stress levels during surgery, given that taking electrodermal activity (EDA) measurements from the palms, a commonly used standard, is impractical in surgical contexts. Methods: A combination of mentally challenging tasks on a laparoscopy trainer (LapSim) and physically challenging sports exercises were performed by a group of participants. During these tasks, EDA was measured at three different locations: the fingers, toes, and shoulder/neck area. Additionally, an electrocardiogram was used as an objective measure of stress levels. Results: The findings indicated that EDA measurements taken at the toes produced similar high skin conductance levels to measurements taken at the palms. However, significantly lower skin conductance levels were observed at the shoulder. Despite this, the cross-correlation of EDA data revealed high correlation coefficients (above 0.96) between both the toe and shoulder measurements when compared to the palm data. Conclusions: The study concludes that both the toes and the shoulder/neck area serve as viable alternative locations for assessing occupational stress levels in surgical personnel. This assertion is supported by the similarity of the data produced by these methods to that of the standard finger-based technique, with the latter still being identified as the most sensitive method for capturing EDA. Subsequently, these findings attest to the potential for practical adaptation of this technique in surgical contexts.

A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response

The use of eye tracking technology, together with other physiological measurements such as psychogalvanic skin response (GSR) and electroencephalographic (EEG) recordings, provides researchers with information about users’ physiological behavioural responses during their learning process in different types of tasks. These devices produce a large volume of data. However, in order to analyse these records, researchers have to process and analyse them using complex statistical and/or machine learning techniques (supervised or unsupervised) that are usually not incorporated into the devices. The objectives of this study were (1) to propose a procedure for processing the extracted data; (2) to address the potential technical challenges and difficulties in processing logs in integrated multichannel technology; and (3) to offer solutions for automating data processing and analysis. A Notebook in Jupyter is proposed with the steps for importing and processing data, as well as for using supervised and unsupervised machine learning algorithms.

A fuzzy-logic approach for longitudinal assessment of patients’ psychophysiological state: an application to upper-limb orthopedic robot-aided rehabilitation

Understanding the psychophysiological state during robot-aided rehabilitation is crucial for assessing the patient experience during treatments. This paper introduces a psychophysiological estimation approach using a Fuzzy Logic inference model to assess patients’ perception of robots during upper-limb robot-aided rehabilitation sessions. The patients were asked to perform nine cycles of 3D point-to-point trajectories toward different targets at varying heights with the assistance of an anthropomorphic robotic arm (i.e. KUKA LWR 4+). Physiological parameters, including galvanic skin response, heart rate, and respiration rate, were monitored across ten out of forty daily sessions. This data enabled the construction of an inference model to estimate patients’ perception states. Results expressed in terms of correlation coefficients between the patient state and the increasing number of sessions. Correlation coefficients showed statistically significant strong associations: a state of heightened engagement (formerly described as “Excited”) had ρ=-0.73\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\rho = -0.73$$\\end{document} (p-value=0.01), and a more calm and resting state (namely “Relaxed” state) had ρ=0.70\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\rho = 0.70$$\\end{document} (p-value=0.02) with the number of sessions completed. All patients had positive interaction with the robot, initially expressing curiosity and interest that gradually shifted to a more “Relaxed” state over time.

Endocrine, electrodermal, and cardiac responses to Trier Social Stress Test in healthy adults with a history of child maltreatment.

Endocrine, electrodermal, and cardiac responses to Trier Social Stress Test in healthy adults with a history of child maltreatment.

Multimodal examination of daily stress rhythms in chronic Cannabis users.

Chronic cannabis users frequently report stress relief as their primary reason for use. The endocannabinoid system is involved in the neuroendocrine stress response, and diurnal cortisol rhythms may be disrupted in chronic cannabis users. The objectives were to determine whether cannabis users demonstrate disruptions in diurnal stress rhythms and examine the acute effects of cannabis on stress-related outcomes in cannabis users' natural environments. Eighty-two participants (39 cannabis users, 43 non-users) collected saliva samples to quantify cortisol concentrations and provided subjective stress ratings at 8 time points throughout the day. They wore a medical-grade wearable device for 24h that recorded physiological indicators of stress (heart rate variability, electrodermal activity). Cannabis users collected additional saliva samples before and after cannabis use to examine acute effects of cannabis use. Cannabis users exhibited significant dysregulations in diurnal cortisol rhythms, including a blunted cortisol awakening response, flattened diurnal cortisol slope, and elevated afternoon cortisol concentrations. There were no differences in diurnal heart rate variability or electrodermal activity except for elevated evening heart rate in cannabis users. Finally, there were significant decreases in cortisol, subjective stress, and electrodermal activity following acute cannabis use in cannabis users' natural environment. These results provide evidence of dysregulated diurnal cortisol rhythms in cannabis users that were related to later waking times and acute stress-relieving properties of cannabis use in naturalistic environments. Future research should examine the direction of the relationship between cannabis use and diurnal cortisol rhythms and potential implications for other psychological disorders.

Human motion and musical expression: Exploring the link between physical movement and emotional resonance in performance

Musical performance has traditionally been understood as an auditory experience, with emotions conveyed primarily through sound. However, emerging research highlights the role of physical movement—gestures, posture, and body language—in enhancing emotional expression and creating a deeper connection between performers and their audiences. While existing studies have explored some aspects of this relationship, there is limited understanding of how specific movements modulate emotional responses across different musical genres. This study addresses these gaps by investigating the interaction between human motion and musical expression, focusing on the emotional resonance experienced by performers and audience members. The need for this study arises from the lack of comprehensive data on the correlation between movement and emotional engagement during musical performances, particularly concerning different genres. Using motion capture, biometric sensors, and facial recognition technology, the research analyzed the performances of professional and amateur musicians across classical, jazz, and contemporary music. Audience members’ emotional responses were captured through physiological data and post-performance surveys. One limitation of this study is that it focused solely on live performance environments, leaving digital or virtual performances unexplored. Key findings reveal that expressive movements increased emotional intensity ratings by 1.6 points (p < 0.001), with heart rate rising by 6.9 BPM (p < 0.0012) and electrodermal activity increasing by 1.6 µS (p < 0.0008). Movement synchronization with musical elements, especially during climaxes, strongly correlated with heightened emotional responses (r = 0.85, p < 0.01). Classical performances exhibited the highest synchronization between movement and emotion, with audience emotional intensity peaking at 8.3 on a Likert scale.

Detecting Emotional Arousal and Aggressive Driving Using Neural Networks: A Pilot Study Involving Young Drivers in Duluth

Driving is integral to many people’s daily existence, but aggressive driving behavior increases the risk of road traffic collisions. Young drivers are more prone to aggressive driving and danger perception impairments. A driver’s physiological state (e.g., fatigue, anger, or stress) can negatively affect their driving performance. This is especially true for young drivers who have limited driving experience. This research focuses on examining the connection between emotional arousal and aggressive driving behavior in young drivers, using predictive analysis based on electrodermal activity (EDA) data through neural networks. The study involved 20 participants aged 18 to 30, who completed 84 driving sessions. During these sessions, their EDA signals and driving behaviors, including acceleration and braking, were monitored using an Empatica E4 wristband and a telematics device. This study conducted two key analyses using neural networks. The first analysis used a comprehensive set of EDA features to predict emotional arousal, achieving an accuracy of 65%. The second analysis concentrated on predicting aggressive driving behaviors by leveraging the top 10 most significant EDA features identified from the arousal prediction model. Initially, the arousal prediction was performed using the complete set of EDA features, from which feature importance was assessed. The top 10 features with the highest importance were then selected to predict aggressive driving behaviors. Another aggressive driving behavior prediction with a refined set of difference features, representing the changes from baseline EDA values, was also utilized in this analysis to enhance the prediction of aggressive driving events. Despite moderate accuracy, these findings suggest that EDA data, particularly difference features, can be valuable in predicting emotional states and aggressive driving, with future research needed to incorporate additional physiological measures for enhanced predictive performance.

Psychophysiological and Performance Effects of Biofeedback and Neurofeedback Interventions in a Top 100 Female Chess Player

(1) Background: Previous studies showed that neurofeedback and biofeedback could improve stress levels, enhance self-control over physiological factors, improve behavioral efficiency, and increase reaction speed to stimuli. Specifically, the sensorimotor rhythm stimulation (12–15 Hz) can enhance cognitive functions such as selective attention and working memory. However, there is no study that analyzes the effect of these interventions in chess players. (2) Methods: A Chess Woman Grandmaster and Chess International Master, with an ELO ranking higher than 2350 points, was selected to participate in this case study. The participant conducted a total of 14 sessions of biofeedback and neurofeedback, training in breathing, sensorimotor rhythm stimulation in Cz, skin conductance, temperature, and heart rate variability combined with chess work. Specific and non-specific tasks were designed to evaluate the intervention. (3) Results: The chess player enhanced the heart rate variability during specific and non-specific chess tasks: chess problems, 15 + 10 games, and puzzle rush games. In addition, the sensorimotor rhythm power decreased during the chess problem and increased during the 15 + 10 game and puzzle rush. Also, chess performance and anxiety levels improved after the intervention. (4) Conclusions: Neurofeedback and biofeedback training combined with chess training could improve the performance of chess players.

The Double-Edged Sword of Tension: How Moderate Stress Enhances Performance While Over-Focus Impairs It

Tension, often considered a negative emotional state, has traditionally been viewed as detrimental to performance, particularly when excessive. However, emerging research suggests that tension, when experienced at moderate levels, may have a facilitating effect on task performance by activating physiological and cognitive resources. This study explores the dual effects of tension on behavioral outcomes, proposing that moderate tension improves performance by enhancing arousal and resource mobilization, while excessive focus on tension can lead to cognitive overload, impairing task performance. Two hypotheses are tested: (H1) moderate tension enhances task performance through physiological arousal mechanisms such as increased adrenaline secretion, and (H2) excessive focus on tension increases cognitive load, leading to poorer performance. A randomized experimental design will be employed, with participants assigned to a moderate tension group, an excessive tension focus group, and a control group. Physiological measures, including heart rate and galvanic skin response (GSR), along with task performance indicators, will be collected. The expected results will provide empirical evidence supporting the positive role of moderate tension in enhancing behavioral outcomes and highlight the detrimental effects of excessive tension focus. This study offers theoretical insights into the dual nature of tension and practical implications for managing tension in high-pressure task environments.

Wearable Biosensors: Tracking Health in Real-Time

Wearable biosensors have revolutionized healthcare by enabling real-time monitoring of vital physiological parameters. These devices, which measure biomarkers such as cardiac signals, glucose levels, and electrodermal activity, have found extensive application in personalized health management, chronic disease monitoring, and fitness tracking. Advances in micro- and nanotechnology, along with the integration of artificial intelligence and cloud computing, have significantly enhanced the accuracy and usability of wearable biosensors. Despite the progress, challenges related to data privacy, regulatory approval, and device interoperability remain. This paper examines the technological advancements, applications, and future directions of wearable biosensors in healthcare, while also addressing the challenges in their widespread adoption. Keywords: Wearable biosensors, health monitoring, personalized healthcare, nanotechnology, real-time tracking.

Skin conductance response and habituation to emotional facial expressions and words.

Skin conductance response (SCR) serves as a dependable marker of sympathetic activation used to measure emotional arousal. This study investigates the impact of presentation modality (face or word) on the degree of emotional discrimination elicited by SCR. Facial expressions or words associated with six basic emotions-anger, happiness, disgust, fear, sadness, and surprise-were studied among 102 participants. The amplitude of SCR was accurately predicted by subjective arousal ratings of these stimuli, but not by valence ratings. The habituation process to emotional and neutral stimuli across six successive presentations was characterized by an exponential decay function, capturing the rate at which SCR response diminishes in relation to the preceding trial of the same stimulus. Through the subtraction of the response to neutral stimuli from the emotion-evoked SCR, it was demonstrated that the initial presentation of each emotion elicits a substantial response, particularly attributable to the emotional content. Notably, the initial emotional response to faces expressing happiness, disgust, and sadness surpassed that of words conveying the same emotions. The results indicate that different emotional responses can be quantified using a simple electrical instrument.

Decisions to seek cognitive performance feedback: Potential determinants of feedback value and consequences for learning

Performance feedback is essential for effective learning. Feedback contains both informational and affective properties. Following negative feedback (indicating an incorrect response), the unpleasant experience of being wrong can diminish the value of constructive information that feedback also provides. This can hinder motivation to seek feedback, which can impede learning. Therefore, research into factors that directly shape the subjective value of feedback is critical. The current study investigated potential behavioral and physiological contributors to feedback valuation and to subsequent feedback-seeking behavior. Fifty-nine participants completed a willingness-to-pay associative memory task that measured feedback valuation via trial-wise decisions to either purchase or forgo feedback during a learning phase in service of maximizing a performance-contingent monetary reward during a future test phase. Skin conductance response (SCR) was also measured during feedback decisions. Lower confidence in response accuracy significantly predicted higher likelihood of purchasing feedback during learning. Neither self-reported emotional responses to feedback nor SCR during feedback decisions predicted feedback purchases. Purchase decisions yielding negative feedback significantly predicted better performance during test. These results suggest that confidence during learning significantly impacts performance feedback valuation and should be considered when devising methods to motivate feedback-seeking in settings where learning is critical to success.

Conditioned fear selectively increases the perception and neural processing of respiratory stimuli relative to somatosensory stimuli

Interoception is crucial to the experience of bodily complaints in chronic conditions. Fear can distort the perception of sensations like breathlessness and pain, yet few studies investigated the effects of conditioned fear on both self-report and neural processing of these sensations. In the current study, we conditioned fear of neutral female faces in healthy adults, pairing certain faces (CS+) with an aversive scream. In Experiment 1, we delivered paired inspiratory occlusions during the viewing of the faces. We collected self-reported intensity and unpleasantness of occlusions, and measured N1 and P2 amplitudes of the respiratory-related evoked potential (RREP) in the electroencephalogram, as well as neural gating (the ratio of N1 response to the second over the first occlusion, S2/S1). Skin conductance and self-reported fear increased in response to CS+ faces, and perception of occlusions increased during fear conditioning (FC) relative to baseline, with higher unpleasantness and RREP amplitudes during CS+ relative to CS- trials. We found no effects on neural gating. In Experiment 2, we used the same FC protocol, and delivered paired electrocutaneous pulses during the viewing of the faces. We measured intensity/unpleasantness, fear, N1/P2 amplitudes of the somatosensory evoked potential (SEP), and neural gating. While skin conductance and fear increased, no perceptual effects were found. Unexpectedly, SEP amplitudes decreased and neural gating increased during FC, likely due to habituation. The current results indicate that FC increases the perception and neural processing of respiratory stimuli specifically, consistent with previous literature on respiratory psychophysiology and fearful states.

Physiological Time-Series Fusion With Hybrid Attention for Adaptive Recognition of Pain.

Automatic pain assessment is an application in healthcare serving personalized pain care, and patients cannot self-report pain. Pain at the present is inferred from physiological dynamics at the present and in the near past. However, heterogeneous pain responses cross-subject and cross-type hinder accurate recognition of pain. This work solves the adaptive pain recognition problem across pain types. We concrete the adaptivity problem into recognizing both phasic/short and tonic/long pain from the physiological sequences of the same length. The adaptivity of the proposed solution (TCAtt-PainNet) was ensured by hybrid temporal-channel attention when fusing multivariate time-series of electrocardiogram (ECG) and galvanic skin response (GSR) features. The attention was obtained by learning the dependencies between the point at present and the sequence in the near past, where sequence point temporal attention was constructed via modified self-attention, and the following feature channel attention was constructed by squeeze-and-excitation temporal attention weighted deep feature sequence. The proposed solution successfully enhanced recognition adaptivity by addressing relevant information only from long input sequences when testing with tonic and phasic pain databases, making progress towards automatic pain assessment for real application scenarios with attributes unknown pain.

SmoothRide: A Versatile Solution to Combat Cybersickness in Elevation-Altering Environments.

Cybersickness continues to bar many individuals from taking full advantage of virtual reality (VR) technology. Previous work has established that navigating virtual terrain with elevation changes poses a significant risk in this regard. In this paper, we investigate the effectiveness of three cybersickness reduction strategies on users performing a navigation task across virtual elevation-altering terrain. These strategies include static field of view (FOV) reduction, a flat surface approach that disables terrain collision and maintains constant elevation for users, and SmoothRide, a novel technique designed to dampen a user's perception of vertical motion as they travel. To assess the impact of these strategies, we conducted a within-subjects study involving 61 participants. Each strategy was compared against a control condition, where users navigated across terrain without any cybersickness reduction measures in place. Cybersickness data were collected using the Fast Motion Sickness Scale (FMS) and Simulator Sickness Questionnaire (SSQ), along with galvanic skin response (GSR) data. We measured user presence using the IGroup Presence questionnaire (IPQ) and a Single-Item Presence Scale (SIP). Our findings reveal that users experienced significantly lower levels of cybersickness using SmoothRide or FOV reduction. Presence scores reported on the IPQ were statistically similar between SmoothRide and the control condition. Conversely, terrain flattening had adverse effects on user presence scores, and we could not identify a significant effect on cybersickness compared to the control. We demonstrate that SmoothRide is an effective, lightweight, configurable, and easy-to-integrate tool for reducing cybersickness in simulations featuring elevation-altering terrain.

Fear among patients with Parkinson's disease and repeated falls: Analysis of skin conductance responses during simulated accidents

IntroductionThe fear of falling (FoF) usually increases in patients with Parkinson’s disease (PD); however, it can decrease despite repeated falls for unknown reasons. This phenomenon is similar to the findings that the patients with PD show lower emotional responses in the decision-making during the Iowa gambling task (IGT) than of those without PD. The decision-making during the IGT is reportedly correlated with interoceptive accuracy. This phenomenon could be associated with decreased physiological reaction and interoception deficiency. This study aimed to investigate the factors associated with decreased FoF in patients with PD who fell repeatedly. MethodsWe recorded the skin conductance responses (SCR) during the task delivered by a virtual reality system and heartbeat perception task (HPT) as an interoceptive measure. We measured emotional self-awareness using visual analog scale (VAS) scores. We recruited 28 non-demented patients with PD and 24 age-matched Non-clinical population (NC) group. All patients with PD were grouped by FoF scale score and number of falls within the previous year into repeated falls without FoF, repeated falls with FoF, and no falls groups. ResultsThe SCR during all accident videos experienced by themselves were significantly lower in the repeated falls without FoF group than in the NC group (p < 0.01). The HPT was significantly lower in the repeated falls without FoF group than in the NC group (p = 0.007). ConclusionThe repeated falls without FoF group did not recognize recurrent falls as being problematic, possibly associated with decreased physiological reactions and interoception deficiency.

The concealed information test with a continuously moving stimulus.

The Concealed Information Test (CIT) aims to extract concealed crime-related knowledge using physiological measures. In the present study, we propose a new variant of the CIT that contains a continuously moving stimulus. A total of 81 participants were either informed or not about the specific location of an upcoming terrorist attack. The CIT consisted of a map with a superimposed moving dot, combined with measurements of respiration and electrodermal activity. The results revealed both respiratory suppression and an increase in skin conductance when the moving dot passed the target location only in informed participants. These findings showed that this new variant of the CIT can differentiate between groups of informed and uninformed individuals and an exploratory analysis revealed it can help narrow down a search area.

A Novel Labeling Method of Physiological-based Pressure Pain Assessment Among Patients With and Without Chronic Low Back Pain

Pain, especially chronic pain, is a complicated and subjective experience, threatening global healthcare as one of the most severe health problems. Traditionally, pain is assessed by Visual Analog Scale to indicate the pain intensity by the patient’s self-report, causing them to become biased by various psychosocial factors. In this study, we performed two distinct labeling methods to assess the pressure pain in Quantitative Sensory Testing and to differentiate healthy controls and chronic low back pain patients: time period labels and percentage timestamp labels. Physiological signals such as blood volume pulse and galvanic skin response were collected. The time period labeling method was to segment via fixed time windows. The percentage timestamp labeling method was to select the timestamp labels based on the percentage of the threshold or the tolerance time. Both methods demonstrate different advantages when visualizing the information of different pain states and different participant groups.