Abstract:
Stress is a ubiquitous phenomenon in present days experienced by a considerable portion of the population. Continuous exposure to stress poses negative effects on an indi...Show MoreMetadata
Abstract:
Stress is a ubiquitous phenomenon in present days experienced by a considerable portion of the population. Continuous exposure to stress poses negative effects on an individual’s physical and mental well-being. Therefore, understanding stress mechanisms and monitoring stress in a continuous and unobtrusive manner are needed for administering interventions at opportune moments. This requires a proper understanding of the relation between the expression and perception of stress in a continuous manner. Multimodal expression of stress refers to the manifestation of stress expressed by the trajectories of multimodal signals that are often captured via commonly used wearable devices. Meanwhile, perception of stress can be acquired by self-reported measures or third-party annotations. This work investigates the trajectories of multimodal signals (e.g., physiology, speech) and examines their association with self-reported or external observers’ ratings of stress. In order to ensure a naturalistic setting, the data are collected from three different studies involving interpersonal communication settings (e.g., public speaking, job interview). Knowledge from this work can improve our understanding of the causes and antecedents of stress that can help in designing a continuous stress detection module and an associated intervention scheme to reduce the adverse health effect of stress among the general population.
Published in: 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
Date of Conference: 10-13 September 2023
Date Added to IEEE Xplore: 16 January 2024
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