Mapping Grip Force Characteristics in the Measurement of Stress in Driving

Yotam Sahar (), Tomer Elbaum, Oren Musicant, Michael Wagner, Leon Altarac and Shraga Shoval
Additional contact information
Yotam Sahar: Department of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel
Tomer Elbaum: Department of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel
Oren Musicant: Department of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel
Michael Wagner: Department of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel
Leon Altarac: Department of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel
Shraga Shoval: Department of Industrial Engineering & Management, Ariel University, Ariel 4076414, Israel

IJERPH, 2023, vol. 20, issue 5, 1-14

Abstract: Reducing drivers’ stress can potentially increase road safety. However, state-of-the-art physiological stress indices are intrusive and limited by long time lags. Grip force is an innovative index of stress that is transparent to the user and, according to our previous findings, requires a two- to five-second time window. The aim of this study was to map the various parameters affecting the relationship between grip force and stress during driving tasks. Two stressors were used: the driving mode and the distance from the vehicle to a crossing pedestrian. Thirty-nine participants performed a driving task during either remote driving or simulated driving. A pedestrian dummy crossed the road without warning at two distances. The grip force on the steering wheel and the skin conductance response were both measured. Various model parameters were explored, including time window parameters, calculation types, and steering wheel surfaces for the grip force measurements. The significant and most powerful models were identified. These findings may aid in the development of car safety systems that incorporate continuous measurements of stress.

Keywords: grip force; stress; steering wheel; pedestrian; remote driving; driving simulation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/20/5/4005/pdf (application/pdf)
https://www.mdpi.com/1660-4601/20/5/4005/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:20:y:2023:i:5:p:4005-:d:1078329

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().