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

Aya Hussein, Sondoss Elsawah, Hussein A. Abbass

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
EditorsTung X. Bui
PublisherIEEE Computer Society Conference Publishing Services
Pages375-384
Number of pages10
ISBN (Electronic)9780998133133
DOIs
Publication statusPublished - Jan 2020
Externally publishedYes
Event53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 - Maui, United States
Duration: 7 Jan 202010 Jan 2020

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2020-January
ISSN (Print)1530-1605

Conference

Conference53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
Country/TerritoryUnited States
CityMaui
Period7/01/2010/01/20

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