Attitudinal predictors of relative reliance on human vs. automated advisors
by Stephanie M. Merritt; Ruchi Sinha; Paul G. Curran; Daniel R. Ilgen
International Journal of Human Factors and Ergonomics (IJHFE), Vol. 3, No. 3/4, 2015

Abstract: Trust and liking are attitudes with important implications for automation reliance in single-advisor settings; however, the extent to which their relationships with reliance generalise to settings in which the user receives conflicting advice from a human and automation is unknown. Participants completed an X-ray screening task and received simultaneous advice from what they believed was another human and an automated aid. High disuse was found for both advisors. Among participants who relied on advice, those with greater relative liking for the automation than for the human significantly increased their reliance on the automation relative to the human during the first half of the task. No significant relationships were found between relative trust or relative liking with reliance in the later part of the task, suggesting that reliance processes in dual-advisor settings may differ from those in single-advisor settings.

Online publication date: Wed, 11-Nov-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Human Factors and Ergonomics (IJHFE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com