Virtual Object Bonding With Projected Position Guidance
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Solution Overview
Problem
Existing game systems face challenges in increasing usability when generating an object composed of multiple virtual objects, as users struggle to effectively bond and assemble these objects in a virtual space.
Innovation Solution
An information processing system that allows users to select and bond virtual objects by indicating specific positions, adjust orientations, and manage collisions, using projected images, shadows, and preferential bonding portions to facilitate intuitive assembly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually bond virtual objects by specifying positions and orientations, then bonding precision is improved, but operation complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically calculating optimal bonding positions and orientations between virtual objects before the user completes the bonding operation. The processor computes collision information, projected images, and shadow data in advance, preparing bonding candidates and suggesting optimal bonding configurations, thereby reducing the manual effort required while maintaining high bonding precision
Solution Approach 2:
The system introduces an intermediary mechanism through projected images and collision information that mediate between the user's bonding intent and the actual bonding execution. These visual aids serve as intermediaries to guide users in positioning objects correctly, reducing operation complexity while ensuring precise bonding outcomes
2Manufacturing precision
If the system provides detailed collision information and projected images to improve assembly accuracy, then bonding precision is improved, but information processing load increases
Solution Approach 1:
The system applies partial action by selectively providing collision information and projected images only when virtual objects are in proximity or when bonding operations are initiated. Rather than continuously computing all possible interactions, the processor calculates collision data and generates projected images on-demand based on user actions and object positions, reducing overall processing load while maintaining high assembly accuracy when needed
Solution Approach 2:
The system implements local quality by focusing computational resources on specific regions and aspects relevant to bonding operations. Collision information is generated only for objects in close proximity, and projected images are rendered only for bonding candidate areas. This localized processing approach minimizes overall computational load while ensuring high precision where it matters most for assembly accuracy
3Adaptability or versatility
If the system allows free movement of virtual objects before bonding, then operational flexibility is improved, but maintaining bonding positions becomes difficult
Solution Approach 1:
The system implements feedback mechanisms by continuously providing collision information and visual indicators that show users how virtual objects will bond when placed in specific positions. During free movement, the system monitors object positions and provides real-time feedback through projected images and collision data, allowing users to maintain bonding positions intuitively while preserving movement flexibility. The feedback loop helps users understand the relationship between object positions and bonding outcomes
Data Source
AI summary
An example of an information processing system selects a first object among a plurality of virtual objects by a selection operation of a user and generates a bonding object indicating respective bonding positions on the selected first object and a second object among the plurality of virtual objects. In accordance with a bonding instruction from the user, the first object and the second object are bonded to each other at the respective bonding positions.