@inproceedings{93a0f5bc7a0349ce81072bef9d272c51,
title = "Towards Trust-Aware Human-Automation Interaction: An Overview of the Potential of Computational Trust Models",
abstract = "Several computational models have been proposed to quantify trust and its relationship to other system variables. However, these models are still under-utilised in human-machine interaction settings due to the gap between modellers' intent to capture a phenomenon and the requirements for employing the models in a practical context. Our work amalgamates insights from the system modelling, trust, and human-autonomy teaming literature to address this gap. We explore the potential of computational trust models in the development of trust-aware systems by investigating three research questions: 1- At which stages of development can trust models be used by designers? 2- how can trust models contribute to trust-aware systems? 3- which factors should be incorporated within trust models to enhance models' effectiveness and usability? We conclude with future research directions.",
author = "Aya Hussein and Sondoss Elsawah and Abbass, {Hussein A.}",
note = "Funding Information: This work was funded by the Australian Research Council Discovery Grant number DP160102037 and UNSW-Canberra. Publisher Copyright: {\textcopyright} 2020 IEEE Computer Society. All rights reserved.; 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 ; Conference date: 07-01-2020 Through 10-01-2020",
year = "2020",
month = jan,
doi = "10.24251/hicss.2020.047",
language = "English",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "375--384",
editor = "Bui, {Tung X.}",
booktitle = "Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020",
address = "United States",
}