Context-Aware Guide Data for Interactive Service Control
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Solution Overview
Problem
Users of interactive services on mobile terminals often face difficulties in accessing desired information due to the need for specific input, such as keywords or voice commands, which can be cumbersome and lead to undesired results from incorrect inputs.
Innovation Solution
A method and terminal configuration that provides adaptive guide data based on context data, such as conversation history, user patterns, and location, allowing users to easily access interactive services without initial input, with guide data including images, videos, audio, text, or URLs, and switching screens based on user selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If interactive service requests user input (keywords or voice commands), then the service can be executed, but the user may hesitate due to not remembering information to input or may obtain undesired results from incorrect input
Solution Approach 1:
The system performs preliminary actions by proactively analyzing context data (conversation history, user patterns, location data, link terminal data) and generating guide data before the user needs to input anything. This allows the system to anticipate user needs and present relevant options, eliminating the need for users to remember or formulate specific input keywords while ensuring accurate service execution through context-aware prediction
Solution Approach 2:
The patent introduces guide data as an intermediary element between the user and the interactive service execution. Instead of directly requiring user input or automatically executing services, the system presents guide data that mediates the interaction, allowing users to select from pre-analyzed options that match their intent, thus improving both ease of operation and reliability
2Ease of operation
If guide data is provided based on context data analysis, then user convenience is improved, but system complexity increases due to data collection and analysis requirements
Solution Approach 1:
The patent applies universality by using a single intelligent agent that performs multiple functions: it collects context data, analyzes user patterns, generates guide data, and controls application execution. This multi-functional approach consolidates what could be separate complex systems into one integrated agent, improving user convenience while managing system complexity through functional integration
Solution Approach 2:
The intelligent agent operates autonomously by self-collecting context data from various sources (conversation history, user patterns, location data, link terminal data) and self-generating guide data without requiring external intervention. This self-service capability reduces the need for complex external data collection infrastructure while improving user convenience through proactive service
Data Source
AI summary
A method for controlling an application in a terminal includes receiving a request for executing the application from a user, executing the application, outputting one or more pieces of guide data in a first area of a screen for the executed application based on context data of the terminal and controlling the application according to the user selection.