Virtual Task Guidance Using Interaction-Progress Filtering
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Solution Overview
Problem
In virtual scene applications, virtual objects often feel lost and lack targeted guidance, leading to inefficient interaction and low user retention due to the need to sift through non-specific guidance prompts.
Innovation Solution
A method and apparatus that provides targeted virtual task guidance by receiving interaction guidance instructions, presenting task guidance information based on current interaction progress, and confirming interaction locations for specific tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all guidance information is displayed for users to choose from, then users can access comprehensive guidance content, but users cannot easily locate needed information resulting in low guidance efficiency
Solution Approach 1:
The system performs preliminary action by pre-analyzing user interaction progress and pre-filtering guidance information before presentation. The guidance information is prepared and organized in advance based on the user's current state, so that when the user needs guidance, only relevant information is displayed, eliminating the need to sift through all guidance content.
Solution Approach 2:
The system implements self-service by automatically detecting user interaction progress and autonomously selecting and presenting appropriate guidance information without requiring users to manually search or filter. The system serves itself by using its own state information to determine what guidance to display, making the process efficient and user-centric.
2Adaptability or versatility
If comprehensive guidance information is provided, then users have more task options, but interaction targets become unclear and user retention decreases
Solution Approach 1:
The system applies local quality by making guidance information specific to the user's current interaction context rather than providing uniform comprehensive guidance. The guidance content's properties (relevance, priority, detail level) are localized to match the user's current state, ensuring clarity while maintaining adaptability to different interaction stages.
Solution Approach 2:
The system changes parameters of guidance information based on user interaction progress. As the user progresses through interactions, the system dynamically adjusts which guidance is displayed, changing parameters such as information type, detail level, and presentation format to maintain clarity while adapting to the user's evolving needs.
3Productivity
If targeted guidance based on interaction progress is provided, then guidance efficiency improves, but system complexity increases
Solution Approach 1:
The system uses feedback by continuously monitoring user interaction progress and using this information to adjust guidance presentation. The system receives feedback from user actions and automatically adapts the guidance information, creating a closed-loop system that improves efficiency through dynamic adjustment without requiring complex manual intervention.
Data Source
AI summary
This application provides a task guidance method a virtual scene performed by an electronic device. The method includes: receiving an interaction guidance instruction for a non-user character associated with a virtual object, the interaction guidance instruction being used for indicating the non-user character to guide virtual tasks for the virtual object in a virtual scene; presenting task guidance information corresponding to the interaction progress of the virtual object in response to the interaction guidance instruction, the task guidance information being used for guiding the virtual object to perform at least one virtual task; and presenting guidance information for an interaction location corresponding to a target task in response to a confirmation instruction for the target task in the at least one virtual task based on the task guidance information.