3D Virtual Image Attention Tracking for Product Design
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Solution Overview
Problem
Current methods for obtaining user opinions on products are inefficient, as they often involve broad questionnaires or reviews, making it difficult to accurately determine which product aspects receive the most attention from users, thereby hindering effective product optimization.
Innovation Solution
A method involving the display of a 3D virtual image in a virtual scene, where a target object is determined within the displayed image, and based on this target object, an attention focus object is identified, reflecting the parts of the physical object that garner user attention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If questionnaires or product reviews are used to collect user opinions, then a wide range of product aspects can be covered, but it becomes difficult to accurately determine which aspects receive the most user attention
Solution Approach 1:
The patent creates a 3D virtual copy of the physical product that replicates its key aspects and components. Users interact with this virtual copy instead of the physical product, allowing their attention patterns to be captured and analyzed. This copying approach maintains comprehensive coverage of product aspects while enabling precise measurement of user attention through automated tracking of interactions with the virtual model.
Solution Approach 2:
The 3D virtual image serves as an intermediary between the physical product and user feedback collection. Rather than directly analyzing physical products or relying on self-reported questionnaire data, the system uses the virtual 3D model as a mediator to capture objective attention data through automated tracking of user interactions, thereby resolving the contradiction between comprehensive coverage and measurement accuracy.
2Quantity of substance
If comprehensive product reviews are collected from users, then various product components are covered, but the data becomes difficult to analyze for identifying specific attention focus areas
Solution Approach 1:
The patent replaces manual text analysis of user reviews with automated computer vision and interaction tracking systems. As users interact with the 3D virtual product, the system automatically tracks their attention patterns, hover times, and interaction frequencies. This substitution of mechanical data processing with automated computational methods reduces analysis complexity while maintaining comprehensive data collection.
Solution Approach 2:
The system enables self-service data collection where user interactions with the 3D virtual product automatically generate the feedback data needed. Users don't need to complete separate questionnaire forms; their natural interaction patterns with the virtual model self-generate the attention focus data, reducing both the complexity of data collection and analysis while maintaining comprehensive coverage.
Data Source
AI summary
A method for acquiring an object's attention information includes: displaying a three-dimensional (3D) virtual image in a virtual scene, the 3D virtual image being a 3D image corresponding to a virtual object in the virtual scene mapped from a physical object; determining a target object of the 3D virtual image displayed in a display area; and based on the target object, determining an attention focus object of the 3D virtual image, the attention focus object belonging to at least a part of the 3D virtual image.