TY  - JOUR
PY  - 2022//
TI  - Physiological measurements in social acceptance of self driving technologies
JO  - Scientific reports
A1  - Palatinus, Zsolt
A1  - Volosin, Márta
A1  - Csábi, Eszter
A1  - Hallgató, Emese
A1  - Hajnal, Edina
A1  - Lukovics, Miklós
A1  - Prónay, Szabolcs
A1  - Ujházi, Tamás
A1  - Osztobányi, Lilla
A1  - Szabó, Balázs
A1  - Králik, Tamás
A1  - Majó-Petri, Zoltán
SP  - e13312
EP  - e13312
VL  - 12
IS  - 1
N2  - The goal of the present study is to examine the cognitive/affective physiological correlates of passenger travel experience in autonomously driven transportation systems. We investigated the social acceptance and cognitive aspects of self-driving technology by measuring physiological responses in real-world experimental settings using eye-tracking and EEG measures simultaneously on 38 volunteers. A typical test run included human-driven (Human) and Autonomous conditions in the same vehicle, in a safe environment. In the spectrum analysis of the eye-tracking data we found significant differences in the complex patterns of eye movements: the structure of movements of different magnitudes were less variable in the Autonomous drive condition. EEG data revealed less positive affectivity in the Autonomous condition compared to the human-driven condition while arousal did not differ between the two conditions. These preliminary findings reinforced our initial hypothesis that passenger experience in human and machine navigated conditions entail different physiological and psychological correlates, and those differences are accessible using state of the art in-world measurements. These useful dimensions of passenger experience may serve as a source of information both for the improvement and design of self-navigating technology and for market-related concerns.<p />  <p>Language: en</p>
LA  - en
SN  - 2045-2322
UR  - http://dx.doi.org/10.1038/s41598-022-17049-7
ID  - ref1
ER  -