Paper Info
Title
Voice Navigation Effects on Real-World Lane Change Driving Analysis Using an Electroencephalogram.
Abstract
Improving the degree of assistance given by in-car navigation systems is an important issue for the safety of both drivers and passengers. There is a vast body of research that assesses the usability and interfaces of the existing navigation systems but very few investigations study the impact on the brain activity based on navigation-based driving. In this paper, a real-world experiment is designed to acquire the electroencephalography (EEG) and in-car information to analyze the dynamic brain activity while the driver is performing the lane-changing task based on the auditory instructions from an in-car navigation system. The results show that auditory cues can influence the speed and increase the frontal EEG delta and beta power, which is related to motor preparation and decision making during a lane change. However, there were no significant results on the alpha power. A better lane-change assessment can be obtained using specific vehicle information (lateral acceleration and heading angle) with EEG features for future naturalized driving study.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2820161
IEEE ACCESS
Keywords
Field
DocType
Auditory instructions,EEG,in-car navigation,lane change,real-world driving
Task analysis,Computer science,Usability,Navigation system,Brain activity and meditation,Human–computer interaction,Acceleration,Electroencephalography,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
9
Name
Order
Citations
PageRank
Chin-Teng Lin13840392.55
Jung-Tai King2529.83
Avinash Kumar Singh33113.77
Akshansh Gupta4836.35
Zhenyuan Ma500.34
Jheng-Wei Lin600.68
Alexei M. C. Machado77411.02
Abhishek M. Appaji801.35
Mukesh Prasad916626.33