Digital Assistant Video Overlays for Natural-Language Participant Queries
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Solution Overview
Problem
Existing digital assistant systems fail to efficiently and intelligently augment video event displays with relevant graphical overlays in response to natural language inputs, requiring additional user interaction and increasing power consumption.
Innovation Solution
A digital assistant system that identifies participant locations in a video event based on natural language input and context information, automatically generating graphical overlays at corresponding display locations without additional user input, utilizing computer vision and machine learning techniques to enhance user interaction and reduce power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a digital assistant system automatically generates graphical overlays in response to natural language input, then user interaction efficiency is improved, but device power consumption increases
Solution Approach 1:
The system performs preliminary actions by continuously analyzing video content and pre-processing data during video playback. When a user asks a question about the video, the system already has processed information ready to quickly generate relevant graphical overlays, reducing the computational burden at the moment of interaction and thus lowering power consumption while maintaining high responsiveness
Solution Approach 2:
The digital assistant system operates autonomously to detect user intent, analyze video content, identify relevant segments, and generate graphical overlays without requiring additional user input or manual intervention. This self-service capability streamlines the interaction process, improving efficiency while the system optimizes its operations to manage power consumption effectively
2Loss of energy
If the system requires additional user input to provide graphical responses, then power consumption is reduced, but user interaction efficiency deteriorates
Solution Approach 1:
The system autonomously detects user intent from natural language input, analyzes video content to identify relevant segments, and generates graphical overlays without requiring additional user input. This self-service approach eliminates the need for users to provide multiple inputs, significantly improving interaction efficiency while the system manages its own power consumption through optimized processing
Solution Approach 2:
The system provides immediate visual feedback through graphical overlays that directly respond to user questions about the video content. This feedback mechanism allows users to obtain information efficiently in a single interaction, improving productivity while the system optimizes its response generation to balance power consumption
Data Source
AI summary
An example process includes while displaying, on a display, a video event: receiving, by a digital assistant, a natural language speech input corresponding to a participant of the video event; in accordance with receiving the natural language speech input, identifying, by the digital assistant, based on context information associated with the video event, a first location of the participant; and in accordance with identifying the first location of the participant, augmenting, by the digital assistant, the display of the video event with a graphical overlay displayed at a first display location corresponding to the first location of the participant.