“Hold on, I’ll connect you to a human agent”: Recipient design, repair, and their impact on progressivity in human-chatbot conversations

This study analyzes recipient design in handover conversations involving customers, customer service chatbots, and human agents, and examines how repair strategies initiated by chatbots and human agents impact conversational progressivity. These text-based conversations were analyzed using Conversation Analysis. Findings show customers formulate their request and subsequent messages concisely when communicating with a chatbot (pre-handover), but use details, full sentences, and politeness markers when communicating with a human agent (post-handover). Moreover, both chatbots and human agents frequently initiate repairs to address troubles of understanding promptly, but their approaches differ: chatbots generalize inquiries broadly, often resulting in multiple sequences of repair, while human agents use follow-up questions to specify and guide responses, ensuring progressivity.

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Publication Details

Journal
Discourse & Communication
Published
2026-02-01
DOI
https://doi.org/10.1177/17504813261418360
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

“Hold on, I’ll connect you to a human agent”: Recipient design, repair, and their impact on progressivity in human-chatbot conversations

Lotte van Burgsteden, Gabriëlla Martijn, Hedwig te Molder, Charlotte van Hooijdonk
Discourse & Communication
AI in Service Interactions
article

“Hold on, I’ll connect you to a human agent”: Recipient design, repair, and their impact on progressivity in human-chatbot conversations

Lotte van Burgsteden, Gabriëlla Martijn, Hedwig te Molder, Charlotte van Hooijdonk
article en

Abstract

This study analyzes recipient design in handover conversations involving customers, customer service chatbots, and human agents, and examines how repair strategies initiated by chatbots and human agents impact conversational progressivity. These text-based conversations were analyzed using Conversation Analysis. Findings show customers formulate their request and subsequent messages concisely when communicating with a chatbot (pre-handover), but use details, full sentences, and politeness markers when communicating with a human agent (post-handover). Moreover, both chatbots and human agents frequently initiate repairs to address troubles of understanding promptly, but their approaches differ: chatbots generalize inquiries broadly, often resulting in multiple sequences of repair, while human agents use follow-up questions to specify and guide responses, ensuring progressivity.

Discourse & CommunicationVol. 20(1)
Utrecht University (NL), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 53%
AI in Service Interactions
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