DocumentCode :
52499
Title :
How the Autonomic Nervous System and Driving Style Change With Incremental Stressing Conditions During Simulated Driving
Author :
Lanata, Antonio ; Valenza, Gaetano ; Greco, Alberto ; Gentili, Claudio ; Bartolozzi, Riccardo ; Bucchi, Francesco ; Frendo, Francesco ; Scilingo, Enzo Pasquale
Author_Institution :
Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy
Volume :
16
Issue :
3
fYear :
2015
fDate :
Jun-15
Firstpage :
1505
Lastpage :
1517
Abstract :
This paper reports on the autonomic nervous system (ANS) changes and driving style modifications as a response to incremental stressing level stimulation during simulated driving. Fifteen subjects performed a driving simulation experiment consisting of three driving sessions. Starting from a first session where participants performed a steady motorway driving, the experimental protocol includes two additional driving sessions with incremental stress load. More specifically, the first stressing load consists of randomly administering mechanical stimuli to the vehicle during a steady motorway driving by means of a series of sudden and unexpected skids, such as those produced by a strong wind gust. These skids were supposed to produce in the driver a given level of stress. In order to assess this mental workload, dedicated psychological tests were performed. The second stressing load implied an incremental psychological load, consisting of a battery of time pressing arithmetical questions, added to the mechanical stimuli. For the whole experimental session, the driver´s physiological signals and the vehicle´s mechanical parameters were recorded and analyzed. In this paper, the ANS changes were investigated in terms of heart rate variability, respiration activity, and electrodermal response along with mechanical information such as that coming from steering wheel angle corrections, velocity changes, and time responses. Results are satisfactory and promising. In particular, significant statistical differences were found among the three driving sessions with an increasing stress level both in ANS responses and mechanical parameter changes. In addition, a good recognition of these sessions was carried out by pattern classification algorithms achieving an accuracy greater than 90%.
Keywords :
digital simulation; driver information systems; pattern classification; road safety; steering systems; ANS; autonomic nervous system; dedicated psychological tests; driving sessions; driving style change; driving style modifications; electrodermal response; heart rate variability; incremental stress load; incremental stressing conditions; incremental stressing level stimulation; mechanical parameter changes; mechanical stimuli; mental workload; pattern classification algorithms; respiration activity; simulated driving; steady motorway driving; steering wheel angle corrections; time pressing arithmetical questions; time responses; velocity changes; Biomedical monitoring; Electrocardiography; Heart rate variability; Physiology; Psychology; Stress; Vehicles; Electrodermal response (EDR); heart rate variability (HRV); respiration activity (RSP); simulated driving; stress recognition; vehicle parameters;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2014.2365681
Filename :
6964800
Link To Document :
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