Method and system for interactive conversational dialogue for cognitively overloaded device users

A computer-implemented method of interactively conversing with a cognitively overloaded user of a device, the method comprising:

• maintaining a knowledge base of information regarding the device and a domain;
• organizing the information in at least one of a relational manner and an ontological manner;
• receiving, by a processor of the computer, speech from the user;
• converting, by the processor, the speech into a word sequence;
• recognizing, by the processor, at least one of a full and partial proper name in the word sequence using a statistical model;
• identifying, by the processor, meaning structures from the word sequence using a model of the domain information;
• adjusting, by the processor, a boundary of the at least one of the full and partial proper names to enhance an accuracy of the meaning structures using a name database and without using the statistical model;
• interpreting, by the processor, the meaning structures in a context of the conversation with the cognitively overloaded user using the knowledge base;
• selecting, by the processor, a content for a response to the cognitively overloaded user;
• generating, by the processor, the response based on the selected content, the context of the conversation, and grammatical rules;
• and
• synthesizing speech wave forms for the response.

A hardware-implemented storage medium having stored thereon a set of instructions executable by a processor to perform the following:

• maintaining a knowledge base of information regarding a device and a domain;
• organizing the information in at least one of a relational manner and an ontological manner;
• receiving speech from a user of the device;
• converting the speech into a word sequence;
• recognizing a partial proper name in the word sequence using a statistical model;
• identifying meaning structures from the word sequence using a model of the domain information;
• adjusting a boundary of the partial proper names to enhance an accuracy of the meaning structures using a name database and without using the statistical model;
• interpreting the meaning structures in a context of the conversation with the user using the knowledge base;
• selecting a content for a response to the user;
• generating the response based on the selected content, the context of the conversation, and grammatical rules;
• and
• synthesizing speech wave forms for the response.