Trust Observations in Validation Exercises

Abstract

This paper is concerned with an operational account of trust. It reports our experience in observing different trust aspects during a validation session for the assessment of a new tool and relevant operational concepts in the Air Traffic Management (ATM) domain. Despite the fact that trust is yet an elusive concept, our results show how monitoring trust can support the validation of alternative system settings and their operational aspects. This paper reports our experimental work on observing trust during validations exercises. Moreover, it provides new insights about the nature and the investigation of trust.

Deep learning, transparency, and trust in human robot teamwork

“…(d) Level of Automation: Another factor that may affect trust in the system is its level of automation (i.e., the degree to which the system acts on its own). Since higher levels of automation are more complex, thus potentially more opaque to the operator, higher levels of automation are frequently (Calhoun et al, 2009;Amato et al, 2011;Nam et al, 2019;Kira & Potter, 2009) found to engender less trust. To overcome this deficit transparency becomes more important when the system is more autonomous.…”

Influence of Culture, Transparency, Trust, and Degree of Automation on Automation Use

“…[16] found ratings of trust higher in a condition prioritizing a list of possible engagements than in either an unprioritized list or higher levels of automation. [27] similarly found a lower level of automation preferred for aiding an air traffic control (ATC) task. [26] report higher ratings of trust for management by consent (lower LOA) than for management by exception (higher LOA) as well.…”