The process motivation model of algorithmic decision-making approach and avoidance

Abstract: Algorithms are often used for decision-making. However, algorithmic decision-making is more related to different responses in individuals than human decision-making on the same content. The phenomenon is defined as the algorithmic decision-making approach and avoidance. The approach means that algorithmic decision-making is considered fairer, less biased, less discriminatory, more trustworthy, and more acceptable than human decision-making. But the avoidance is the other way around. To explain the phenomenon of the algorithmic decision-making approach and avoidance better, the process motivation model of algorithmic decision-making approach and avoidance is employed in the review. It summarizes three stages of the interaction between human and algorithm, namely, the interaction of initial behavior, the establishment of quasi-social relationship and the formation of identity. Moreover, it elaborates how cognitional, relational, and existential motivation trigger individual approach and avoidance responses in each specific stage. For future directions, we suggest that more researches are needed to explore how mind perception and intergroup perception influence algorithmic decision-making approach and avoidance. Meanwhile, what is the reversal process of algorithmic decision-making approach and avoidance from a more social perspective and what other possible motivations are associated with it are also worth of considered.