Objective: We systematically review recent empirical research on factors that influence trust
in automation to present a three-layered trust model that synthesizes existing knowledge …

Automation bias (AB)—the tendency to over-rely on automation—has been studied in
various academic fields. Clinical decision support systems (CDSS) aim to benefit the clinical …

This paper examines how people's trust and dependence on robot teammates providing
decision support varies as a function of different attributes of the robot, such as perceived …

Robots and other complex autonomous systems offer potential benefits through assisting
humans in accomplishing their tasks. These beneficial effects, however, may not be realized …

Forming connections between human performance and design, this new edition of
Engineering Psychology and Human Performance examines human–machine interaction …

Introduction: While potentially reducing decision errors, decision support systems can
introduce new types of errors. Automation bias (AB) happens when users become …

We discuss two general concepts of attention:(1) As a filter of selective attention that selects
and admits channels of information from the environment to be processed;(2) as a resource …

Prior work in human trust of autonomous robots suggests the timing of reliability drops
impact trust and control allocation strategies. However, trust is traditionally measured post …

Applied Attention Theory, Second Edition provides details concerning the relevance of all
aspects of attention to the world beyond the laboratory. Topic application areas include the …

Objective: The authors discuss empirical studies of human-automation interaction and their
implications for automation design. Background: Automation is prevalent in safety-critical …