Abstract
This publication describes a technique and methods directed at expediting and enhancing human interaction with interactive voice response (IVR) systems. The technique incorporates the utilization of a machine-learned (ML) system which can interact (e.g., receive and respond to questions) with IVR systems. After sufficient interaction an IVR system, the ML system can generate an application. The application can provide a user interface (UI) which is displayable on a computing device (e.g., cellphone, tablet, watch) for a user. Through the UI, the application can present the questions that the IVR system asks the user. Upon receiving user input, the ML system can communicate the user input to the IVR system.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Janga, Siddartha, "Expediting and Enhancing User Interaction with Interactive Voice Response Systems Utilizing Machine Learning", Technical Disclosure Commons, (August 14, 2019)
https://www.tdcommons.org/dpubs_series/2400