Digital Assistant Snippet Visualization via Virtual Objects
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Solution Overview
Problem
Existing digital assistants struggle to provide effective visualization of snippet information, leading to user confusion and the need for additional queries to understand the information provided.
Innovation Solution
The system and method for providing intelligent visualization of snippets on an electronic device involve receiving user requests, determining responses, and creating visual representations with virtual objects of varying sizes based on context information, allowing these objects to be displayed within a background environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If text-based snippet information is provided in response to user queries, then the digital assistant can efficiently process and display information, but users experience confusion and require additional queries to understand the information
Solution Approach 1:
The patent introduces visualizations as an intermediary element between the text-based snippet information and the user. These visualizations serve as a mediator that translates abstract text information into concrete visual representations, enabling users to understand complex data without requiring additional text explanations or queries.
Solution Approach 2:
The patent transitions from one-dimensional text-based information delivery to two-dimensional visual representations. By rendering snippets as visual elements (such as bars, icons, or graphical representations) within the augmented reality environment, the system adds a visual dimension that enhances user comprehension while maintaining efficient information processing.
2Loss of information
If additional queries are required for users to understand snippet information, then the digital assistant can provide more detailed responses, but user-device interaction time increases
Solution Approach 1:
The system performs preliminary action by automatically generating and displaying visualizations of snippet information immediately upon receiving the initial user query. Rather than waiting for additional queries to gather more information, the system proactively creates visual representations that enhance understanding, thereby reducing the time needed for back-and-forth interactions.
Solution Approach 2:
The visualizations provide immediate feedback to users about the nature and complexity of the information retrieved. By visually representing the snippet data, the system gives users instant insight into what the information entails, allowing them to understand the response without needing to ask follow-up questions.
3Ease of operation
If virtual objects are displayed in augmented reality environment, then user understanding is enhanced through visualization, but device power consumption increases
Solution Approach 1:
The system applies partial action by rendering visualizations only for the specific snippet information that is relevant to the user's query, rather than visualizing all available data. This selective visualization approach enhances user understanding of important information while minimizing unnecessary computational resources and power consumption.
Solution Approach 2:
The system dynamically adjusts visualization parameters such as color, size, and complexity based on the context of the query and the nature of the snippet information. By adapting these parameters, the system optimizes the balance between providing sufficient visual detail for understanding and consuming excessive power, allowing for efficient energy usage while maintaining effective communication.
Data Source
AI summary
This relates generally to intelligent automated assistants and, more specifically, to provide intelligent visualization of snippet information. An example method includes receiving a user request and in response to receiving the user request, determining a response for the user request, determining a format for a visual representation of the response, identifying one or more virtual objects based on the format for the visual representation of the response, determining a size for each of the one or more virtual objects based on context information associated with the response, and displaying the one or more virtual objects within a background environment based on the size for each of the one or more virtual objects and geometry of the background environment.