Toward a Hybrid Intelligence System in Customer Service: Collaborative Learning of Human and AI

Abstract

Hybrid intelligence systems (HIS) enable human users and Artificial Intelligence (AI) to collaborate in activities complementing each other. They particularly allow the combination of human-in-the-loop and computer-in-the-loop learning ensuring a hybrid collaborative learning cycle. To design such a HIS, we implemented a prototype based on formulated design principles (DPs) to teach and learn from its human user while collaborating on a task. For implementation and evaluation, we selected a customer service use case as a top domain of research on AI applications. The prototype was evaluated with 31 expert and 30 novice customer service employees of an organization. We found that the prototype following the DPs successfully contributed to positive learning effects as well as a high continuance intention to use. The measured levels of satisfaction and continuance intention to use provide promising results to reuse our DPs and further develop our prototype for hybrid collaborative learning