Understanding individuals' perceptions regarding cognitive computing systems

Artificial Intelligence based Information Systems (AI-based IS) play an increasingly im-portant role in everyday life of individuals, and for organizations that invest substantial-ly into such systems, e.g., to transform and optimize their business processes. These AI-based IS can aggregate such capabilities as knowing, reasoning and autonomously (re)acting, hence, a considerable amount of capabilities that are human-like. In addition, the most current AI-based IS, also referred to as, cognitive computing systems (CCS), are capable to process unstructured data, such as audio-visual inputs, enabling these sys-tems to mimic human-cognition in ways not seen in previous IS. These systems challenge long standing assumptions, about how humans use IS and how these IS generate out-comes. In this study we endeavor to better understand what factors affect individuals’ perception regarding these CCS. Based on sixteen semi-structured interviews, we pro-pose nine preliminary factors, that appear to influence individuals’ perceptions regarding CCS