Best of Both Worlds

Abstract

The proliferation of unmanned aerial vehicles (UAVs) in civil and military domains has spurred increasingly complex automation design for augmenting operator abilities, reducing workload, and increasing mission effectiveness. We describe the Adaptive Interface Management System (AIMS), an intelligent adaptive delegation interface for controlling and monitoring multiple unmanned vehicles, with a mixed-initiative team model language. A study was conducted to assess understanding of this model language and whether participants exhibited calibrated trust in the intelligent automation. Results showed that operators had accurate memory for role responsibility and were well calibrated to the automation. Adaptive automation design approaches like the one described in this paper can be useful to create mixedinitiative human-robot teams.

Participant Characteristics in Human-in-the-Loop Studies with Multiple Unmanned Vehicles including Aircraft

“…Calhoun et al (2014) included only male participants. de Visser et al (2013) balanced the number of males and females and eight (Breslow et al, 2014;Chien et al, 2020;Coyne et al, 2018;de Visser et al, 2010;Kidwell et al, 2012;Lin et al, 2020;McKendrick et al, 2011;Miller et al, 2011) recruited more female participants than males. None of the reviewed studies considered the influence of gender on any dependent variable.…”