Self-assessment in machines boosts human Trust

Low trust in autonomous systems remains a significant barrier to adoption and performance. To effectively increase trust in these systems, machines must perform actions to calibrate human trust based on an accurate assessment of both their capability and human trust in real time. Existing efforts de...

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Main Authors: Dana Warmsley, Krishna Choudhary , Jocelyn Rego , Emma Viani , Praveen K. Pilly 
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2025.1557075/full
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author Dana Warmsley
Krishna Choudhary 
Jocelyn Rego 
Emma Viani 
Praveen K. Pilly 
author_facet Dana Warmsley
Krishna Choudhary 
Jocelyn Rego 
Emma Viani 
Praveen K. Pilly 
author_sort Dana Warmsley
collection DOAJ
description Low trust in autonomous systems remains a significant barrier to adoption and performance. To effectively increase trust in these systems, machines must perform actions to calibrate human trust based on an accurate assessment of both their capability and human trust in real time. Existing efforts demonstrate the value of trust calibration in improving team performance but overlook the importance of machine self-assessment capabilities in the trust calibration process. In our work, we develop a closed-loop trust calibration system for a human-machine collaboration task to classify images and demonstrate about 40% improvement in human trust and 5% improvement in team performance with trained machine self-assessment compared to the baseline, despite the same machine performance level between them. Our trust calibration system applies to any semi-autonomous application requiring human-machine collaboration.
format Article
id doaj-art-d5259c43ec594dfab2803a11e562bc82
institution OA Journals
issn 2296-9144
language English
publishDate 2025-05-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Robotics and AI
spelling doaj-art-d5259c43ec594dfab2803a11e562bc822025-08-20T01:57:05ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442025-05-011210.3389/frobt.2025.15570751557075Self-assessment in machines boosts human TrustDana WarmsleyKrishna Choudhary Jocelyn Rego Emma Viani Praveen K. Pilly Low trust in autonomous systems remains a significant barrier to adoption and performance. To effectively increase trust in these systems, machines must perform actions to calibrate human trust based on an accurate assessment of both their capability and human trust in real time. Existing efforts demonstrate the value of trust calibration in improving team performance but overlook the importance of machine self-assessment capabilities in the trust calibration process. In our work, we develop a closed-loop trust calibration system for a human-machine collaboration task to classify images and demonstrate about 40% improvement in human trust and 5% improvement in team performance with trained machine self-assessment compared to the baseline, despite the same machine performance level between them. Our trust calibration system applies to any semi-autonomous application requiring human-machine collaboration.https://www.frontiersin.org/articles/10.3389/frobt.2025.1557075/fullmachine self-assessmenttrust calibrationtrust in AIautonomous systemshuman-machine teaming
spellingShingle Dana Warmsley
Krishna Choudhary 
Jocelyn Rego 
Emma Viani 
Praveen K. Pilly 
Self-assessment in machines boosts human Trust
Frontiers in Robotics and AI
machine self-assessment
trust calibration
trust in AI
autonomous systems
human-machine teaming
title Self-assessment in machines boosts human Trust
title_full Self-assessment in machines boosts human Trust
title_fullStr Self-assessment in machines boosts human Trust
title_full_unstemmed Self-assessment in machines boosts human Trust
title_short Self-assessment in machines boosts human Trust
title_sort self assessment in machines boosts human trust
topic machine self-assessment
trust calibration
trust in AI
autonomous systems
human-machine teaming
url https://www.frontiersin.org/articles/10.3389/frobt.2025.1557075/full
work_keys_str_mv AT danawarmsley selfassessmentinmachinesboostshumantrust
AT krishnachoudhary selfassessmentinmachinesboostshumantrust
AT jocelynrego selfassessmentinmachinesboostshumantrust
AT emmaviani selfassessmentinmachinesboostshumantrust
AT praveenkpilly selfassessmentinmachinesboostshumantrust