Human-Robot Teams Informed by Human Performance Moderator Functions

Abstract

Abstract : This research resulted in several key results. These results are highlighted here and discussed in more detail in the following sections. Teaming scenarios were modeled using IMPRINT Pro in order to predict the impact of various HPMFs on the teaming relationship. The developed human-human and human-robot models represented teaming relationships in which a) one team member was guided through a series of task steps and b) collaborative teams participate in tasks incorporating joint decision making for environments involving higher levels of uncertainty. These models provide predictions of human performance when working with a human or robot partner, and how performance differs based on the particular teaming partner. Model evaluations were conducted with single and multiple HPMFs and informed the validation evaluation designs. Additionally, the modeling results can inform human-robot teaming allocations.