Computer Science > Artificial Intelligence
arXiv:2209.05226 (cs)
[Submitted on 12 Sep 2022]
Title:Efficient Customer Service Combining Human Operators and Virtual Agents
Authors:Yaniv Oshrat,Yonatan Aumann,Tal Hollander,Oleg Maksimov,Anita Ostroumov,Natali Shechtman,Sarit Kraus
View a PDF of the paper titled Efficient Customer Service Combining Human Operators and Virtual Agents, by Yaniv Oshrat and 6 other authors
View PDFAbstract:The prospect of combining human operators and virtual agents (bots) into an effective hybrid system that provides proper customer service to clients is promising yet challenging. The hybrid system decreases the customers' frustration when bots are unable to provide appropriate service and increases their satisfaction when they prefer to interact with human operators. Furthermore, we show that it is possible to decrease the cost and efforts of building and maintaining such virtual agents by enabling the virtual agent to incrementally learn from the human operators. We employ queuing theory to identify the key parameters that govern the behavior and efficiency of such hybrid systems and determine the main parameters that should be optimized in order to improve the service. We formally prove, and demonstrate in extensive simulations and in a user study, that with the proper choice of parameters, such hybrid systems are able to increase the number of served clients while simultaneously decreasing their expected waiting time and increasing satisfaction.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2209.05226 [cs.AI] |
| (orarXiv:2209.05226v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2209.05226 arXiv-issued DOI via DataCite |
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View a PDF of the paper titled Efficient Customer Service Combining Human Operators and Virtual Agents, by Yaniv Oshrat and 6 other authors
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