ABSTRACT
Human socio-cultural behavior (HSCB) modeling technologies are gaining traction in operational communities as a means to analyze and predict human behavior at various scales. The National Research Council's study on behavior modeling and simulation has identified salient challenges to the acceptance and use of HSCB modeling technologies (Zacharias, MacMillan, & Van Hemel, 2008), and other efforts have identified specific factors that lead to distrust of models and their results (Pfautz, Carlson, & Koelle, 2010; Pfautz et al., 2009a). While these efforts directly address the issue of trust in HSCB modeling, we can achieve a more rigorous understanding of these complex design issues by studying the more mature body of work on trust from the human factors engineering community. The substantive and insightful literature in designing for appropriate trust and reliance in automated systems provides a promising opportunity for study.
