A Measure for Dialog Complexity and its Application in Streamlining Service Operations
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Abstract (arXiv)
Dialog is a natural modality for interaction between customers and businesses in the service industry. As customers call up the service provider, their interactions may be routine or extraordinary. We believe that these interactions, when seen as dialogs, can be analyzed to obtain a better understanding of customer needs and how to efficiently address them. We introduce the idea of a dialog complexity measure to characterize multi-party interactions, propose a general data-driven method to calculate it, use it to discover insights in public and enterprise dialog datasets, and demonstrate its beneficial usage in facilitating better handling of customer requests and evaluating service agents.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Aug 2017.
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Citing papers per year: 2023: 2; 2024: 1.
3 papers.
- 2023Advances in Automatically Rating the Trustworthiness of Text Processing Servicescited by 6
- 2023NatCS: Eliciting Natural Customer Support Dialoguescited by 5
- 2024Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cubecited by 0
- 2024Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube30 Jan 2024
- 2023NatCS: Eliciting Natural Customer Support Dialogues4 May 2023
- 2023Advances in Automatically Rating the Trustworthiness of Text Processing Services4 Feb 2023