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Real-time Trust Prediction in Conditionally Automated Driving Using
  Physiological Measures

Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures

1 December 2022
Jackie Ayoub
Lilit Avetisian
X. J. Yang
Feng Zhou
ArXiv (abs)PDFHTML

Papers citing "Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures"

10 / 10 papers shown
Title
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
Robert Kaufman
Emi Lee
Manas Satish Bedmutha
David Kirsh
Nadir Weibel
104
1
0
13 Sep 2024
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature
  Review and Complaint Data
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data
Jackie Ayoub
Zifei Wang
Meitang Li
Huizhong Guo
Rini Sherony
Shan Bao
Feng Zhou
42
17
0
30 Jul 2022
An Investigation of Drivers' Dynamic Situational Trust in Conditionally
  Automated Driving
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving
Jackie Ayoub
Lilit Avetisyan
Mustapha Makki
Feng Zhou
45
23
0
08 Dec 2021
Predicting Driver Takeover Time in Conditionally Automated Driving
Predicting Driver Takeover Time in Conditionally Automated Driving
Jackie Ayoub
Na Du
X. J. Yang
Feng Zhou
54
36
0
20 Jul 2021
Using Eye-tracking Data to Predict Situation Awareness in Real Time
  during Takeover Transitions in Conditionally Automated Driving
Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving
Feng Zhou
X. J. Yang
J. D. Winter
43
100
0
27 Mar 2021
Modeling Dispositional and Initial learned Trust in Automated Vehicles
  with Predictability and Explainability
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability
Jackie Ayoub
X. J. Yang
Feng Zhou
72
68
0
25 Dec 2020
Psychophysiological responses to takeover requests in conditionally
  automated driving
Psychophysiological responses to takeover requests in conditionally automated driving
Na Du
X. J. Yang
Feng Zhou
23
77
0
06 Oct 2020
Modeling and Predicting Trust Dynamics in Human-Robot Teaming: A
  Bayesian Inference Approach
Modeling and Predicting Trust Dynamics in Human-Robot Teaming: A Bayesian Inference Approach
Yaohui Guo
X. J. Yang
43
109
0
26 Jul 2020
A Classification Model for Sensing Human Trust in Machines Using EEG and
  GSR
A Classification Model for Sensing Human Trust in Machines Using EEG and GSR
Kumar Akash
Wan-Lin Hu
Neera Jain
Tahira Reid
46
113
0
27 Mar 2018
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
823
39,255
0
09 Mar 2016
1