2024
Zanjanpour, Darya; Kokate, Sana; Liu, Hugh H-T; Plaks, Jason E
Quantifying Trust in Human-Drone Interaction for Advanced Air Mobility Systems Inproceedings
In: 2024 IEEE International Conference on Human-Machine Systems (ICHMS), IEEE, 2024.
Links | BibTeX | Tags: AAM, Human-Robot Interaction, Index Terms-UAV, Performance, Safety, Trust
@inproceedings{ICHMS2024DZ,
title = {Quantifying Trust in Human-Drone Interaction for Advanced Air Mobility Systems},
author = {Darya Zanjanpour and Sana Kokate and Hugh H-T Liu and Jason E Plaks},
url = {https://www.flight.utias.utoronto.ca/fsc/wp-content/uploads/2024/02/ICHMS2024DZ_fi.pdf},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
booktitle = {2024 IEEE International Conference on Human-Machine Systems (ICHMS)},
journal = {International Conference on Human-Machine Systems},
publisher = {IEEE},
keywords = {AAM, Human-Robot Interaction, Index Terms-UAV, Performance, Safety, Trust},
pubstate = {published},
tppubtype = {inproceedings}
}
Zanjanpour, Darya; Kokate, Sana; Liu, Hugh H-T; Plaks, Jason E
Quantifying Trust in Human-Drone Interaction for Advanced Air Mobility Systems Inproceedings
In: IEEE, 2024.
Abstract | BibTeX | Tags: AAM, Human-Robot Interaction, Index Terms-UAV, Performance, Safety, Trust
@inproceedings{ICHMS2024DZb,
title = {Quantifying Trust in Human-Drone Interaction for Advanced Air Mobility Systems},
author = {Darya Zanjanpour and Sana Kokate and Hugh H-T Liu and Jason E Plaks},
year = {2024},
date = {2024-01-01},
journal = {International Conference on Human-Machine Systems},
publisher = {IEEE},
abstract = {Trust is a foundational element in human interaction with Unmanned Aerial Vehicles (UAVs). However, quantifying trust has posed a significant challenge. This research aims to establish a framework for defining and quantitatively measuring trust within the domain of Advanced Air Mobility (AAM), integrating engineering and psychological perspectives. The primary objective of this study is to design empirical experiments aimed at evaluating and measuring trust during unmanned aerial vehicles or drone operations. To achieve this goal, we categorize trust dimensions and use line integrals for quantitative trust assessment. The second objective of this research is to capture the calibration of trust levels for users, enabling them to place an appropriate level of trust in a system based on the system's capabilities. The results confirm the possibility of quantitatively measuring trust, highlighting experimental participants' increasing reliance on the system's capabilities over time. Future research will focus on further experimentation to comprehend the impact of various factors on trust.},
keywords = {AAM, Human-Robot Interaction, Index Terms-UAV, Performance, Safety, Trust},
pubstate = {published},
tppubtype = {inproceedings}
}
Trust is a foundational element in human interaction with Unmanned Aerial Vehicles (UAVs). However, quantifying trust has posed a significant challenge. This research aims to establish a framework for defining and quantitatively measuring trust within the domain of Advanced Air Mobility (AAM), integrating engineering and psychological perspectives. The primary objective of this study is to design empirical experiments aimed at evaluating and measuring trust during unmanned aerial vehicles or drone operations. To achieve this goal, we categorize trust dimensions and use line integrals for quantitative trust assessment. The second objective of this research is to capture the calibration of trust levels for users, enabling them to place an appropriate level of trust in a system based on the system's capabilities. The results confirm the possibility of quantitatively measuring trust, highlighting experimental participants' increasing reliance on the system's capabilities over time. Future research will focus on further experimentation to comprehend the impact of various factors on trust.