Visual Assistant for Real-Time Query Response
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Solution Overview
Problem
Conventional technologies lack the ability to provide virtual multimedia contact and real-time user interaction with a visual personal assistant, restricting users from experiencing multimedia video calls and failing to meet expectations for prompt and high-quality customer service due to dependency on manual customer executive interventions.
Innovation Solution
A virtual multimedia system that receives user queries through various interfaces and provides responses using a visual assistant, selected based on user and device identifiers, enabling real-time interaction and service delivery without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional customer service systems are used with manual customer executives, then service coverage is provided, but response time is delayed and service quality is reduced
Solution Approach 1:
The virtual assistant system enables self-service by allowing users to interact with an automated virtual assistant that can independently understand natural language queries, retrieve relevant information from knowledge bases, and provide responses without requiring manual customer executive intervention. The system processes user inputs, selects appropriate responses based on confidence thresholds, and delivers information autonomously.
Solution Approach 2:
The virtual assistant acts as an intermediary between users and the customer service system. It mediates by receiving user queries, processing them through natural language understanding, selecting appropriate responses from a knowledge base, and delivering information back to users, thereby eliminating the need for direct human agent involvement in routine queries.
2Adaptability or versatility
If voice-based personal assistants are used, then user interaction is enabled, but visual interactivity and real-time video call experience are lost
Solution Approach 1:
The virtual assistant system is designed to handle multiple interaction modalities including voice, text, and video through a unified platform. It can process different types of user inputs (speech, text messages) and provide responses through multiple channels (visual display, audio output), making it universally applicable across different communication preferences and scenarios.
Data Source
AI summary
Embodiments relate to providing at least one response to a user of a user device using a visual assistant, wherein the response is based on at least one user query. In an embodiment, the virtual assistant system receives the user query through a virtual multimedia contact, wherein the virtual multimedia contact is invoked by receiving a user command from the user through an interface. Thereafter, the virtual assistant system determines the response based on the user query. Further, the virtual assistant system selects a visual assistant (e.g., virtual character) for representing the response and subsequently provides the response to the user device using the visual assistant by transmitting the response to the user device using the visual assistant.