A System for Human-AI collaboration for Online Customer Support
Debayan Banerjee, Mathis Poser, Christina Wiethof, Varun Shankar, Subramanian, Richard Paucar, Eva A. C. Bittner, Chris Biemann

TL;DR
This paper presents a real-time human-AI collaborative system for online customer support, aiming to improve response quality by combining AI efficiency with human empathy.
Contribution
It introduces a novel system integrating human support agents with AI chatbots for enhanced customer service interactions.
Findings
Improved customer satisfaction through human-AI collaboration
Effective machine learning techniques for AI agent support
Enhanced user experience with combined human and AI responses
Abstract
AI enabled chat bots have recently been put to use to answer customer service queries, however it is a common feedback of users that bots lack a personal touch and are often unable to understand the real intent of the user's question. To this end, it is desirable to have human involvement in the customer servicing process. In this work, we present a system where a human support agent collaborates in real-time with an AI agent to satisfactorily answer customer queries. We describe the user interaction elements of the solution, along with the machine learning techniques involved in the AI agent.
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Taxonomy
TopicsAI in Service Interactions · Context-Aware Activity Recognition Systems · Mobile Crowdsensing and Crowdsourcing
Methodstravel james
