Conference Companion on Human Factors in Computing Systems
Speech Communication - Special issue on interactive voice technology for telecommunication applications (IVITA '96)
On natural language call routing
Speech Communication - Special issue on interactive voice technology for telecommunication applications
PARADISE: a framework for evaluating spoken dialogue agents
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
A study of out-of-turn interaction in menu-based, IVR, voicemail systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Voice enabling mobile financial services with multimodal transformation
International Journal of Mobile Communications
Call browser: a system to improve the caller experience by analyzing live calls end-to-end
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reducing working memory load in spoken dialogue systems
Interacting with Computers
HIV health information access using spoken dialogue systems: touchtone vs. speech
ICTD'09 Proceedings of the 3rd international conference on Information and communication technologies and development
Brazilian Portuguese speech-driven answering system
Proceedings of the 6th Euro American Conference on Telematics and Information Systems
Robust Design and Control of Call Centers with Flexible Interactive Voice Response Systems
Manufacturing & Service Operations Management
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This paper presents a field study that compares natural language call routing with standard touch-tone menus. Call routing is the task of getting callers to the right place in the call center, which could be the appropriate live agent or automated service. Natural language call routing lets callers describe the reason for their call in their own words, instead of presenting them with a list of menu options to select from using the telephone touch-tone keypad. The field study was conducted in a call center of a large telecommunication service provider. Results show that with natural language call routing, more callers respond to the main routing prompt, more callers are routed to a specific destination (instead of defaulting to a general operator who may have to transfer them), and more callers are routed to the correct agent. Our survey data show that callers overwhelmingly prefer natural language call routing over standard touch-tone menus. Furthermore, natural language call routing can also deliver significant cost savings to call centers