The Effect of Perceived Task Role on Reliance on Artificial Intelligence in Unfamiliar Face Matching Tasks

Date

2023

Authors

Anthony, Jordan

Editors

Advisors

Journal Title

Journal ISSN

Volume Title

Type:

Thesis

Citation

Statement of Responsibility

Conference Name

Abstract

Unfamiliar face matching is the process of observing two faces and determining whether they belong to the same person (a match) or two different people (a mismatch). Primarily required in security and identification contexts, this task is surprisingly difficult for humans. With Artificial Intelligence becoming increasingly powerful in automating mundane tasks, current state-of-the-art Automated Facial Recognition Systems (AFRS) can greatly outperform their human counterpart; however, they still often require human supervision and/or input. The 'human-machine interaction' is a term that describes the way humans and machines, in this case AFRS, function together. Whilst the impact of factors such as perceived responsibility and self-reliance on behaviour has been observed with respect to between-human interactions, their effect on the human-machine interaction remains mostly unexplored. This study aims to explore whether manipulating the perceived role in the human-machine interaction can affect trust in automation, complacency, automation-reliance, and ultimately performance in an AFRS-assisted unfamiliar face matching task. Whilst we observed a clear increase in performance when AFRS-assistance was introduced, we found no significant change in performance or trust based on perceived role. Furthermore, human operators curtail the performance of the AFRS regardless of their perceived role in the human-machine interaction. Keywords: Face Matching, Perceived Role, Trust in Automation, Human-Machine Interaction

School/Discipline

School of Psychology

Dissertation Note

Thesis (B.PsychSc(Hons)) -- University of Adelaide, School of Psychology, 2018

Provenance

This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the author of this thesis and do not wish it to be made publicly available, or you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals

Description

This item is only available electronically.

Access Status

Rights

License

Grant ID

Published Version

Call number

Persistent link to this record