Stress Analysis with Dimensions of Valence and Arousal in the Wild

Tran, Thi-Dung; Kim, Jung-Hee; Ho, Ngoc-Huynh; Yang, Hyung-Jeong; Pant, Sudarshan; Kim, Soo-Hyung; Lee, Guee-Sang

doi:10.3390/app11115194

Cited by 9 publications

(3 citation statements)

References 25 publications

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“…Affect reactivity has two dimensions: valence reactivity (the extent to which the stressor induces pleasant or unpleasant feelings) and arousal reactivity (the extent to which the stressor induces alertness or calmness) (Posner et al, 2005;Russell, 1980). In line with theoretical expectations of affect reactivity (Russell et al, 1989), empirical evidence demonstrates that acute stress impacts both dimensions by inciting a decrease in valence and an increase in arousal (Cheadle et al, 2020;Tran et al, 2021). Both dimensions of affect reactivity are shaped by individual differences (Feldman, 1995;Kuppens et al, 2013), and both dimensions are important to capture when examining how stress impacts emotions (Posner et al, 2005;Watson & Clark, 1997).…”

Section: Affect Reactivity Stress and Mental Healthmentioning

confidence: 92%

Affect reactivity and lifetime racial discrimination among Black college students: The role of coping.

Neukrug¹,

Benson²,

Buhrman³

et al. 2022

American Journal of Orthopsychiatry

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Black individuals face psychological distress resulting from lifetime experiences of racial discrimination, and these experiences may be especially harmful to Black college students as they forge their social identities. One way to examine psychological distress induced by racial discrimination is by assessing affect reactivity, or the degree to which aspects of individuals’ mood changes in response to a stressor. This quantitative investigation examines the association between lifetime racial discrimination frequency and stress responses to acute racial discrimination via two aspects of affect reactivity, valence and arousal, and if coping strategies moderate this association. A sample of 239 Black college students (Mage = 19.59, SDage = 2.15, 68.6% female) completed an online questionnaire that included measures of racial discrimination, coping, and demographics. They then attended a laboratory visit during which their affective responses to a stress task were collected. Regression analyses indicated an interaction between lifetime racial discrimination and social support coping on arousal reactivity in response to acute racial discrimination. For individuals who reported low levels of social support coping, more frequent lifetime racial discrimination was associated with a decrease in arousal. For individuals who reported high levels of social support coping, more frequent lifetime racial discrimination was associated with an increase in arousal. Implications for the mental health of Black college students exposed to racial discrimination and avenues for further investigation are discussed.

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Section: Affect Reactivity Stress and Mental Healthmentioning

confidence: 92%

Affect reactivity and lifetime racial discrimination among Black college students: The role of coping.

Neukrug¹,

Benson²,

Buhrman³

et al. 2022

American Journal of Orthopsychiatry

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“… Stress is a precursor to emotional/affective state.  Individual appraisal and coping are key in processing stressors  Eustress and distress are essentially preceded by affective response [11].…”

Section: Introductionmentioning

confidence: 99%

Affective Modelling of Eustress and Distress using Psychological Scales

Kadouf,

Abdul Rahman,

Kamaruddin

et al. 2024

IJPCC

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This article is a case study that illustrates how a linear regression model can be implemented in eustress and distress analysis based on the correlation between emotion and stress and uses it to develop prediction equations of stress. This study proposes the use of five questionnaires; Perceived Stress Scale 10, Academic Eustress scale, Academic Distress scale, Bosse’s Distress Eustress scale and Adolescent Distress Eustress scale to determine perceived stress, eustress or distress. A sixth questionnaire, the Self-Assessment Manikin was used to determine emotional state in terms of valence and arousal, which are represented on 2-dimensional axis, where the x axis represents valence, and the y axis represents arousal. An analysis of the relationship between the results of the stress questionnaires and results of SAM based valence and arousal is carried out. Significant correlations are then used to derive regression equations used to predict eustress, distress or perceived stress. The findings showed that neither valence nor arousal was correlated with perceived stress, hence no regression equation was derived for it. However, valence and/or arousal were correlated with the remaining five questionnaires. Finally, this article analyzes the predictions comparing actual vs predicted values. Error analysis showed that the ADES questionnaire had the lowest average error, making it the most suitable in predicting eustress and distress from emotion.

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“…Defining effective techniques to measure daily stressful episodes in ecological conditions has thus been identified as an important research objective. To address this challenge, several research groups have started investigating the use of wearable sensors solutions to infer stress from continuous biosignal measurements [5] (for a review, see [6]). Such systems integrate sensors together with on-body signal conditioning and preelaboration, as well as the management of the energy consumption and wireless communication systems.…”

Section: Introductionmentioning

confidence: 99%

Continuous measurement of stress levels in naturalistic settings using heart rate variability: An experience-sampling study driving a machine learning approach

Cipresso

Serino

Borghesi³

et al. 2021

ACTA IMEKO

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Developing automatic methods to measure psychological stress in everyday life has become an important research challenge. Here, we describe the design and implementation of a personalized mobile system for the detection of psychological stress episodes based on Heart-Rate Variability (HRV) indices. The system’s architecture consists of three main modules: a mobile acquisition module; an analysis-decision module; and a visualization-reporting module. Once the stress level is calculated by the mobile system, the visualization-reporting module of the mobile application displays the current stress level of the user. We carried out an experience-sampling study, involving 15 participants, monitored longitudinally, for a total of 561 ECG analyzed, to select the HRV features which best correlate with self-reported stress levels. Drawing on these results, a personalized classification system is able to automatically detect stress events from those HRV features, after a training phase in which the system learns from the subjective responses given by the user. Finally, the performance of the classification task was evaluated on the empirical dataset using the leave one out cross-validation process. Preliminary findings suggest that incorporating self-reported psychological data in the system’s knowledge base allows for a more accurate and personalized definition of the stress response measured by HRV indices.

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Stress Analysis with Dimensions of Valence and Arousal in the Wild

Cited by 9 publications

References 25 publications

Affect reactivity and lifetime racial discrimination among Black college students: The role of coping.

Affect reactivity and lifetime racial discrimination among Black college students: The role of coping.

Affective Modelling of Eustress and Distress using Psychological Scales

Continuous measurement of stress levels in naturalistic settings using heart rate variability: An experience-sampling study driving a machine learning approach

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