The Perception of Automation Reliability and Acceptance of Automated Advice in a Maritime Classification Task

Jack Hutchinson

doi:10.26182/71tf-y290

The Perception of Automation Reliability and Acceptance of Automated Advice in a Maritime Classification Task

Jack Hutchinson

School of Psychological Science

Research output: Thesis › Doctoral Thesis

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Abstract

This thesis used a maritime classification task to examine the extent to which humans can accurately estimate automation reliability and calibrate to changes in reliability, and factors impacting the acceptance of automated advice. The research outcomes indicate individuals do not initially calibrate to, or accurately calibrate to changes in, automation reliability. Acceptingautomated advice was predicted by greater positive differences between participant assessments of automation reliability and their own manual reliability. The findings have important theoretical and practical implications for human-automation teaming.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Loft, Shayne, Supervisor Farrell, Simon, Supervisor Strickland, Luke, Supervisor
Thesis sponsors	Australian Government Research Training Program
Award date	22 May 2022
DOIs	https://doi.org/10.26182/71tf-y290
Publication status	Unpublished - 2022

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10.26182/71tf-y290

THESIS - DOCTOR OF PHILOSOPHY - HUTCHINSON, Jack Louis - 2022_
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AB - This thesis used a maritime classification task to examine the extent to which humans can accurately estimate automation reliability and calibrate to changes in reliability, and factors impacting the acceptance of automated advice. The research outcomes indicate individuals do not initially calibrate to, or accurately calibrate to changes in, automation reliability. Acceptingautomated advice was predicted by greater positive differences between participant assessments of automation reliability and their own manual reliability. The findings have important theoretical and practical implications for human-automation teaming.

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The Perception of Automation Reliability and Acceptance of Automated Advice in a Maritime Classification Task

Abstract

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