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Who Should I Trust (Human vs. Automation)? The Effects of Pedigree in a Dual Advisor Context

  • Carl J. Pearson
  • Christopher B. Mayhorn
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 822)

Abstract

Source type bias (human vs automation) may influence the development of trust in decision aids. Situations involving two decision-aids may depend on the influence of pedigree (perceived expertise) such that decision making or reliance behavior is affected. In this task, the Convoy Leader decision-making paradigm developed by Lyons and Stokes (2012) was adapted to address advisor pedigree such that the human and automated information sources could be of high or low pedigree. Two hundred participants were asked to make eight decisions regarding the route taken by a military convoy based on intelligence (e.g., past insurgent attacks, Improvised Explosive Devices (IEDs) detected, etc.) provided by two information sources (human and automation) of varying degrees of pedigree. In two of these eight decisions, the decision-aids provided conflicting information. Results indicated that participants were likely to demonstrate a bias such that they were more likely to trust the information coming from the human advisor regardless of pedigree. This bias towards the human was only reversed when the automated decision aid was presented as having far greater pedigree. Measures of trust attitudes were highly indicative of decision making behaviors. The findings are addressed in terms of design within a dual-advisor context where human operators may receive conflicting information from advisors of different source types.

Keywords

Decision-making Trust Dual-advisor systems 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.North Carolina State UniversityRaleighUSA

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