PACIS 2022 Proceedings

Paper Number

1068

Abstract

Conversational agents (CAs)—software systems emulating conversations with humans through natural language—have been widely used to communicate and collaborate with humans in various settings. A rising application domain is education since so-called Pedagogical Conversational Agents (PCAs) hold the potential for individualized learning and thus the long-term improvement of learning success. However, existing research on CA adaptation is scattered across different application domains and user groups, so researchers face difficulty in understanding the current state of the art on the adaptation design of PCAs as an independent field of interest. To address this gap, we systematically analyze existing scientific literature and discuss identified adaptation aspects of PCAs in scientific publications. Our literature review contributes to IS research by providing an overview of existing adaptive and adaptable PCA designs, identified gaps, and future research streams with the rising potential thereupon.

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