Conversational technologies are often implementing social or conversational cues. While these cues are used to mimic human behavior and make conversational agents appear as human-like as possible, consumers’ perceptions of the human-likeness of conversational technologies from a communication science perspective are not yet fully understood. To address this shortcoming, in this project we develop a field-specific conceptualization of human-likeness of conversational technologies, and develop a reliable and valid multidimensional measure based on existing theories and related scales