Title
Investigation Of Human First-Person Guidance Strategy From Gaze Tracking Data
Abstract
This paper investigates human guidance strategies in first-person guidance tasks. A first-person guidance simulation setup is used, which records human gaze, vehicle trajectory and control inputs. For the evaluation of human guidance strategy, an optimal control framework that is formulated using the interaction patterns embedded in the corresponding optimal solution is presented. A metric called ISE (instantaneous subgoal error) is proposed to evaluate human guidance strategies. This paper also investigates the relationship among vehicle dynamic behavior, human gaze and environment.
Year
DOI
Venue
2015
10.1109/SMC.2015.192
2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS
Keywords
Field
DocType
first-person guidance, human guidance behavior, human gaze
Computer vision,Optimal control,Gaze,Computer science,Vehicle dynamics,Tracking data,Aerospace electronics,Artificial intelligence,Hidden Markov model,Trajectory
Conference
ISSN
Citations 
PageRank 
1062-922X
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Abhishek Verma100.68
Andrew Feit221.07
Bérénice Mettler3699.87