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Analysis of the Relationship between Personality Traits and Driving Stress Using a Non-Intrusive Wearable Device

  • While driving, stress is caused by situations in which the driver estimates their ability to manage the driving demands as insufficient or loses the capability to handle the situation. This leads to increased numbers of driver mistakes and traffic violations. Additional stressing factors are time pressure, road conditions, or dislike for driving. Therefore, stress affects driver and road safety. Stress is classified into two categories depending on its duration and the effects on the body and psyche: short-term eustress and constantly present distress, which causes degenerative effects. In this work, we focus on distress. Wearable sensors are handy tools for collecting biosignals like heart rate, activity, etc. Easy installation and non-intrusive nature make them convenient for calculating stress. This study focuses on the investigation of stress and its implications. Specifically, the research conducts an analysis of stress within a select group of individuals from both Spain and Germany. The primary objective is to examine the influence of recognized psychological factors, including personality traits such as neuroticism, extroversion, psychoticism, stress and road safety. The estimation of stress levels was accomplished through the collection of physiological parameters (R-R intervals) using a Polar H10 chest strap. We observed that personality traits, such as extroversion, exhibited similar trends during relaxation, with an average heart rate 6% higher in Spain and 3% higher in Germany. However, while driving, introverts, on average, experienced more stress, with rates 4% and 1% lower than extroverts in Spain and Germany, respectively.

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Metadaten
Author:Wilhelm Daniel ScherzORCiD, Victor CorcobaORCiD, David MelendiORCiD, Ralf SeepoldORCiDGND, Natividad Martínez MadridORCiD, Juan Antonio OrtegaORCiD
URN:urn:nbn:de:bsz:kon4-opus4-50448
DOI:https://doi.org/10.3390/electronics13010159
ISSN:2079-9292
Parent Title (English):Electronics - Special Issue: IoT for Healthcare and Wellbeing: Trends, Challenges, and Applications, 2nd Edition
Volume:13
Publisher:MDPI
Place of publication:Basel, CH
Document Type:Article
Language:English
Year of Publication:2023
Release Date:2024/01/03
Tag:Revised eysenck personality questionnaire; EPQR-S; Personality trait; Stress; Heart rate variability (HRV)
Issue:1
Page Number:23
Article Number:159
Note:
Corresponding author: Wilhelm Daniel Scherz
Institutes:Institut für Angewandte Forschung - IAF
DDC functional group:500 Naturwissenschaften und Mathematik
600 Technik, Medizin, angewandte Wissenschaften
Open Access?:Ja
Relevance:Peer reviewed Publikation in Master Journal List
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International