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Paradigm Development for Identifying and Validating Indicators of Trust in Automation in the Operational Environment of Human Automation Integration

  • Kim DrnecEmail author
  • Jason S. Metcalfe
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9744)

Abstract

Calibrated trust in an automation is a key factor supporting full integration of the human user into human automation integrated systems. True integration is a requirement if system performance is to meet expectations. Trust in automation (TiA) has been studied using surveys, but thus far no valid, objective indicators of TiA exist. Further, these studies have been conducted in tightly controlled laboratory environments and therefore do not necessarily translate into real world applications that might improve joint system performance. Through a literature review, constraints on an operational paradigm aimed at developing indicators of TiA were established. Our goal in this paper was to develop an operational paradigm designed to develop valid TiA indicators using methods from human factors and cognitive neuroscience. The operational environment chosen was driving automation because most adults are familiar with the task and its consequent structure and therefore required little training. Initial behavioral and survey data confirm that the design constraints were met. We therefore believe that our paradigm provides a valid means of performing operational experiments aimed at further understanding TiA and its psychophysiological underpinnings.

Keywords

Trust in automation Operational paradigm Driving automation Human automation integrated systems 

Notes

Acknowledgement

This research was supported by the Office of the Secretary of Defense Autonomy Research Pilot Initiative program MIPR DWAM31168, and in part by an appointment to the U.S. Army Research Postdoctoral Fellowship Program administered by the Oak Ridge Associated Universities through a cooperative agreement with the U.S. Army Research Laboratory. Research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911-NF-12-2-0019. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein. We would also like to thank Dr. Justin Brooks and Dr. Javier Garcia for their advice.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Army Research LaboratoryAberdeenUSA

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