A control schema for a human-machine system allows the human operator to be integrated as a mathematical description in a closed-loop control system, i.e., a pilot in an aircraft. Such an approach typically assumes that error feedback is perfectly communicated to the pilot who is responsible for tracking a single flight variable. However, this is unlikely to be true in a flight simulator or a real flight environment. This paper discusses different aspects that pertain to error visualization and the pilot’s ability in seeking out relevant information across a range of flight variables.
%0 Book Section
%1 conf/hci/Chuang15
%A Chuang, Lewis L.
%B Foundations of Augmented Cognition. AC 2015. Lecture Notes in Computer Science
%D 2015
%E Schmorrow, Dylan
%E Fidopiastis, Cali M.
%I Springer
%K from:leonkokkoliadis sfbtrr161 C03 2015
%P 3-11
%R 10.1007/978-3-319-20816-9_1
%T Error Visualization and Information-Seeking Behavior for Air-Vehicle Control
%U https://doi.org/10.1007/978-3-319-20816-9_1
%V 9183
%X A control schema for a human-machine system allows the human operator to be integrated as a mathematical description in a closed-loop control system, i.e., a pilot in an aircraft. Such an approach typically assumes that error feedback is perfectly communicated to the pilot who is responsible for tracking a single flight variable. However, this is unlikely to be true in a flight simulator or a real flight environment. This paper discusses different aspects that pertain to error visualization and the pilot’s ability in seeking out relevant information across a range of flight variables.
%@ 978-3-319-20815-2
@inbook{conf/hci/Chuang15,
abstract = {A control schema for a human-machine system allows the human operator to be integrated as a mathematical description in a closed-loop control system, i.e., a pilot in an aircraft. Such an approach typically assumes that error feedback is perfectly communicated to the pilot who is responsible for tracking a single flight variable. However, this is unlikely to be true in a flight simulator or a real flight environment. This paper discusses different aspects that pertain to error visualization and the pilot’s ability in seeking out relevant information across a range of flight variables.},
added-at = {2020-03-11T15:40:55.000+0100},
author = {Chuang, Lewis L.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c34ad706e62a4fb25a84493aae29f0a9/sfbtrr161},
booktitle = {Foundations of Augmented Cognition. AC 2015. Lecture Notes in Computer Science},
doi = {10.1007/978-3-319-20816-9_1},
editor = {Schmorrow, Dylan and Fidopiastis, Cali M.},
ee = {https://doi.org/10.1007/978-3-319-20816-9_1},
interhash = {576cad7e9be1f4b282bd02e07be4f3ed},
intrahash = {c34ad706e62a4fb25a84493aae29f0a9},
isbn = {978-3-319-20815-2},
keywords = {from:leonkokkoliadis sfbtrr161 C03 2015},
pages = {3-11},
publisher = {Springer},
timestamp = {2020-03-11T14:40:55.000+0100},
title = {Error Visualization and Information-Seeking Behavior for Air-Vehicle Control},
url = {https://doi.org/10.1007/978-3-319-20816-9_1},
volume = 9183,
year = 2015
}