Makale detayı · 2023
Investigating the effects of stress on achievement: BIOSTRESS dataset
Dergi
ElsevierISSN 2352-3409
ISSN kaydı başka bir dergiye işaret ediyor; ad YÖKSİS kaydından.
- Yıl
- 2023
- Tür
- data-paper
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı Elsevier
- Katalog eşleşmesi (ISSN) Data in Brief
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
The effects of chronic stress on academic and professional achievement can have a substantial impact. This relationship is highlighted through a dataset that includes questionnaires and physiological data from a group of individuals. The questionnaire data of 48 individuals, the physiological data of 20 individuals during sessions with a psychologist, and the exam data of 8 individuals were analyzed. The questionnaire data collected includes demographic information and scores on the TOAD stress scale. Physiological data was captured using the Empatica e4, a wearable device, which measured various signals such as blood volume pulse, electrodermal activity, body temperature, interbeat intervals, heart rate, and 3-axis accelerometer data. These measurements were taken under different stress conditions, both high and low, during therapy sessions and an exam respectively. Overall, this study significantly contributes to our understanding of how stress affects achievement. By providing a large dataset consisting of questionnaires and physiological data, this research helps researchers gain a better understanding of the complex relationship between stress and achievement. It also enables them to develop innovative strategies for managing stress and enhancing academic and professional success.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
10 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 6 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- NeuroBioSense: A multidimensional dataset for neuromarketing analysis 2024
- Biosignals, facial expressions, and speech as measures of workplace stress: Workstress3d dataset 2024
- Use of Machine-Learning Methods to Develop Stress Detection Model 2025
- Deep learning-based stress detection using multimodal biosignals 2026
- CoSuBio: Confidence and Success Dataset Based on Multimodal Biosignals 2026
- Interaction-Aware Interpersonal Graph Neural Network (IA-IGNN) for Stress Detection with Biosignals 2025