Towards Trust-Aware Human-Automation Interaction: An Overview of the Potential of Computational Trust Models

Date
2020-01-07
Authors
Hussein, Aya
Elsawah, Sondoss
Abbass, Hussein
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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.
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Design and Development of Collaboration Technologies, computational models, system modelling, trust
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10 pages
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Related To
Proceedings of the 53rd Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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