Playing a rigged game: Inequality's effect on physiological stress responses

Shapiro, Martin S.; Rylant, Rhanda Theresa Gardea; Lima, Amanda de; Vidaurri, Andrea; Werfhorst, Herman G. van de

doi:10.1016/j.physbeh.2017.08.006

Cited by 6 publications

(4 citation statements)

References 45 publications

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“…In terms of clinical applications, a previous study reported that stress states could be predicted based on EDA data recorded using devices worn during daily life 14 . Another study using wired devices reported that facial EMG recorded from the CS muscles discriminated between stress and normal states more sensitively than did EDA signals 43 . Thus, facial EMG recording in everyday situations may provide valuable information regarding mental health states, and these data may complement clinical assessments based on interviews, behavior observation, and autonomic nervous system activity recording.…”

Section: Discussionmentioning

confidence: 98%

Emotional valence sensing using a wearable facial EMG device

Sato

Murata

Uraoka

et al. 2021

Sci Rep

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Emotion sensing using physiological signals in real-life situations can be practically valuable. Previous studies have developed wearable devices that record autonomic nervous system activity, which reflects emotional arousal. However, no study determined whether emotional valence can be assessed using wearable devices. To this end, we developed a wearable device to record facial electromyography (EMG) from the corrugator supercilii (CS) and zygomatic major (ZM) muscles. To validate the device, in Experiment 1, we used a traditional wired device and our wearable device, to record participants’ facial EMG while they were viewing emotional films. Participants viewed the films again and continuously rated their recalled subjective valence during the first viewing. The facial EMG signals recorded using both wired and wearable devices showed that CS and ZM activities were, respectively, negatively and positively correlated with continuous valence ratings. In Experiment 2, we used the wearable device to record participants’ facial EMG while they were playing Wii Bowling games and assessed their cued-recall continuous valence ratings. CS and ZM activities were correlated negatively and positively, respectively, with continuous valence ratings. These data suggest the possibility that facial EMG signals recorded by a wearable device can be used to assess subjective emotional valence in future naturalistic studies.

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Section: Discussionmentioning

confidence: 98%

Emotional valence sensing using a wearable facial EMG device

Sato

Murata

Uraoka

et al. 2021

Sci Rep

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“…This observation suggests that facial EMG can offer valuable insights into customer emotional states and purchasing behaviors, making it a valuable tool in marketing research. In clinical contexts, another study [ 35 ] reported that facial EMG recordings from cEMG demonstrated superior sensitivity in distinguishing between stress and normal states compared with electrodermal signals. These findings indicate the relevance of facial EMG data in assessing mental health states, potentially complementing clinical evaluations reliant on interviews and behavioral observations.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning-Based Interpretable Modeling for Subjective Emotional Dynamics Sensing Using Facial EMG

Kawamura,

Sato,

Shimokawa

et al. 2024

Sensors

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Understanding the association between subjective emotional experiences and physiological signals is of practical and theoretical significance. Previous psychophysiological studies have shown a linear relationship between dynamic emotional valence experiences and facial electromyography (EMG) activities. However, whether and how subjective emotional valence dynamics relate to facial EMG changes nonlinearly remains unknown. To investigate this issue, we re-analyzed the data of two previous studies that measured dynamic valence ratings and facial EMG of the corrugator supercilii and zygomatic major muscles from 50 participants who viewed emotional film clips. We employed multilinear regression analyses and two nonlinear machine learning (ML) models: random forest and long short-term memory. In cross-validation, these ML models outperformed linear regression in terms of the mean squared error and correlation coefficient. Interpretation of the random forest model using the SHapley Additive exPlanation tool revealed nonlinear and interactive associations between several EMG features and subjective valence dynamics. These findings suggest that nonlinear ML models can better fit the relationship between subjective emotional valence dynamics and facial EMG than conventional linear models and highlight a nonlinear and complex relationship. The findings encourage emotion sensing using facial EMG and offer insight into the subjective–physiological association.

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“…Within the frame of intervening motivational factors, a second possible factor could have arisen from the asymmetrical distributions of response turns applied here. Albeit studied mostly in the context of economic games and in relation to payoff, perceived inequality appears to be a powerful stressor than can exert significant effects on behavior (Fehr & Schmidt, 1999 ; Loewenstein et al, 1989 ; Shapiro et al, 2017 ; Yu et al, 2014 ). In our case, the advantageous condition of being asked to respond in more than half of trials could have been affected by the negative feeling of competing against an unfairly treated opponent as well as that of being the recipient of a discriminatory benefit.…”

Section: Discussionmentioning

confidence: 99%

Abstract concepts and simulated competition

Nico

Borghi

Tummolini

et al. 2023

Psychological Research

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To better understand the social determinants of conceptual knowledge we devised a task in which participants were asked to judge the match between a definition (expressed in abstract or concrete terms) and a target-word (also either abstract or concrete). The task was presented in the form of a competition that could/could not include an opponent, and in which different percentages of response rounds were assigned to the participant at the experimenter’s discretion. Thus, depending on the condition, participants were either exposed to a competitive context mimicking a privileged/unprivileged interaction with the experimenter or to a socially neutral setting. Results showed that manipulation of the social context selectively affected judgments on abstract stimuli: responses were significantly slower whenever a definition and/or a target word were presented in abstract form and when participants were in the favorable condition of responding in most of the trials. Moreover, only when processing abstract material, responses were slower when an opponent was expected to be present. Data are discussed in the frame of the different cognitive engagements involved when treating abstract and concrete concepts as well as in relation to the possible motivational factors prompted by the experimental set-up. The role of social context as a crucial element for abstract knowledge processing is also considered.

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Playing a rigged game: Inequality's effect on physiological stress responses

Cited by 6 publications

References 45 publications

Emotional valence sensing using a wearable facial EMG device

Emotional valence sensing using a wearable facial EMG device

Machine Learning-Based Interpretable Modeling for Subjective Emotional Dynamics Sensing Using Facial EMG

Abstract concepts and simulated competition

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