Subproject D03
Sub-Project D03
Contact-Free Measurement of Stress, its Determinants and Consequences
Stress is a widespread concern in today’s world, impacting individual well-being and productivity within organizations. However, the conventional methods of stress assessment, which often involve invasive procedures, have hindered progress in this field.
In this sub-project, we are using contact-less empathokinesthetic sensory modalities to explore their application in experimentally induced acute psychosocial stress scenarios. By analyzing macro and micro movements, we gain valuable insights into the relationship between stress and physiological responses, uncovering subtle cues that arise during stressful experiences. Our goal is to understand how stress affects bodily movements and physiology, which can refine stress detection and interventions in real-life situations. Ultimately, the outcomes of this sub-project have the potential to impact how we address stress-related challenges in various settings.
Contacts
Prof. Dr. Nicolas Rohleder
Principal Investigator
Felicitas Hauck, M. Sc.
Associtated Doctoral Candidate
Miriam Kurz, M. Sc.
Doctoral Canidate
Luca Abel, M. Sc.
Associate Doctoral Candidate
Isabella Hebel, M. Sc.
Associated Doctoral Candidate
Annika Heuler, M. Sc.
Associated Doctoral Candidate
Robert Richer, M. Sc.
Associated Doctoral Candidate
Veronika Ringgold, M. Sc.
Associated Doctoral Candidate
Dipl.-Biol. Petra Schatz
Laboratory Manager
Additional Information
- Richer R, Küderle A, Ullrich M, Rohleder N, Eskofier B: BioPsyKit: A Python package for the analysis of biopsychological data Journal of Open Source Software (2021)
- Richer R, Zenkner JJ, Küderle A, Rohleder N, Eskofier B: Vagus activation by Cold Face Test reduces acute psychosocial stress responses Scientific Reports (2022)
- Hauck F, Gibu LR, Jansen S, Rohleder N: Differences in acute stress responses depending on first or second language in a Hispanic-American sample Stress (2022)
- Küderle A, Robert Richer, Simpetru P, BM Eskofier: tpcp: Tiny Pipelines for Complex Problems – A set of framework independent helpers for algorithms development and evaluation Journal of Open Software(2023)
- Richer R, Abel L, Küderle A, Eskofier B, Rohleder N: CARWatch – A Smartphone Application for Improving the Accuracy of Cortisol Awakening Response Sampling Psychoneuroendocrinology (2023)