Mental workload and eye movements during conditionally automated driving in hazardous environments
Driving in monotonous road environments may cause drivers to become bored and impair their alertness. This inattention may increase the risk of road accidents. Drivers usually respond to visual signals on the road. A large body of research has shown that the level of a driver’s visual attention is c...
Saved in:
Main Author: | Du, Bo |
---|---|
Other Authors: | Xu Hong |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/159236 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
EXPLORING EYES-FREE USER MOTIVATION AND PREDICTING MENTAL WORKLOAD IN MOBILE HCI
by: YI BO
Published: (2012) -
Reflexive recalibration and predictive eye movements after eye blinks
by: Tang, Yvonne Xue Shan
Published: (2019) -
Mental workload classification in n-back tasks based on single trial EEG
by: Dai, Zhongxiang, et al.
Published: (2018) -
SMR drive performance analysis under different workload environments
by: Niu, Junpeng, et al.
Published: (2020) -
Cognitive workload estimation due to vague visual stimuli using saccadic eye movements
by: Bodala, I. P., et al.
Published: (2015)