Method and System for Setting, Monitoring and Acquiring Performance Metrics Data via Voice Enabled Chatbot
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IP.com Disclosure Number: IPCOM000190530D
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Publication Date: 03-Dec-2009 |
Publishing Venue
The IP.com Prior Art Database
Abstract
Language
English (United States)
Document File
2 pages / 66.3 KB
Method and System for Setting , Monitoring and Acquiring Performance Metrics Data via Voice Enabled Chatbot
A method and system is disclosed for setting, monitoring and acquiring performance metrics data in a composite application manager (CAM) via voice enabled chatbot. Typically, a user of the CAMĀ® may need to set and retrieve performance metrics data. It is desirable that the setting, monitoring and retrieval of the performance metrics data is done in a user-friendly manner to enhance the overall user experience.
The method as disclosed enables the user to set, monitor and acquire performance metrics data in a CAM, in a user-friendly manner using a voice enabled chatbot. The existing solutions may use a web and multimedia ready computer for Information Technology CAM (ITCAM) to set, monitor, and retrieve performance metrics data. This method enables leveraging of the web and multimedia ready computer by adding a natural language processing abstraction layer at CAM. The method may utilize Artificial Intelligence Markup Language (AIML) for providing the abstraction layer thereby making it compatible with existing Extensible Markup Language (XML). This abstraction layer may be added in the form of a human like voice-enabled chatbot.
The voice-enabled chatbot enables the user in realizing a conversational interface for setting, monitoring and retrieving performance metrics data using a natural language.
In a scenario, the voice-enabled chatbot may accept a user input via a chat interface and may reply via a voice. Alternatively, the voice-enabled chatbot may accept a user input via a voice and may reply via a voice. In another scenario, an animated avatar may be used as an interface i.e., the voice-enabled chatbot to facilitate natural language processing for a us...