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AI/Human Augmentation: A Study on Chatbot – Human Agent Handovers

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Co-creating for Context in the Transfer and Diffusion of IT (TDIT 2022)

Abstract

The combination of chatbots with live chats supported by human agents creates a new type of man-machine coordination problem. Prior research on chatbot interactions has focused mostly on the interaction between end users and chatbots and there is limited research on the interaction between human chat agents and chatbots. This study aims to fill this gap contributing to the body of research on coordinating humans and artificial conversational agents by addressing the Research Question: How can the handover between chatbots and chat employees be handled to ensure good user experience? The study aims to contribute to the emerging discipline of Human-Centered AI providing insights on how to create AI-enabled systems that amplify and augment human abilities while preserving human control by identifying key aspects that need to be considered when integrating chatbots in live chat workflows.

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Correspondence to Polyxeni Vassilakopoulou .

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Vassilakopoulou, P., Pappas, I.O. (2022). AI/Human Augmentation: A Study on Chatbot – Human Agent Handovers. In: Elbanna, A., McLoughlin, S., Dwivedi, Y.K., Donnellan, B., Wastell, D. (eds) Co-creating for Context in the Transfer and Diffusion of IT. TDIT 2022. IFIP Advances in Information and Communication Technology, vol 660. Springer, Cham. https://doi.org/10.1007/978-3-031-17968-6_8

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  • DOI: https://doi.org/10.1007/978-3-031-17968-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-17967-9

  • Online ISBN: 978-3-031-17968-6

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