VR Object Observation Detection via Field of View Proportion
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Solution Overview
Problem
There is no reliable method to determine if a user has observed virtual objects in virtual reality or augmented reality environments, making it difficult to measure advertisement effectiveness, and existing solutions fail to dynamically integrate visual objects into their context.
Innovation Solution
A method and system that use a head-mounted device to determine if an object has been observed by calculating the proportion of the object's area in the user's field of view, adjusting for angle and time, and employing threshold values to register observation, with optional modifications based on the object's size and orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If advertisement banners are displayed on web pages, then advertisement visibility is improved, but reliable measurement of user observation is lost
Solution Approach 1:
The patent replaces traditional mechanical/measurement-based observation detection (mouse clicks, manual tracking) with an optical system using head-mounted device sensors to detect the user's line of sight and determine whether virtual objects fall within the field of view, enabling reliable observation measurement in VR environments
Solution Approach 2:
The patent introduces an intermediary observation detection system that uses the head-mounted device's sensors and field of view calculations as a mediator between the advertisement display and the observation measurement, indirectly determining observation status through spatial relationship analysis
2Ease of manufacture
If visual objects are placed statically in graphical environments, then placement simplicity is improved, but contextual adaptation is lost
Solution Approach 1:
The patent transforms static advertisement placement into a dynamic system where objects are positioned and sized based on real-time user field of view calculations, head position, and viewing angle, allowing automatic adaptation to contextual conditions while maintaining implementation simplicity through automated algorithms
3Measurement precision
If observation detection requires large object area proportion, then detection accuracy is improved, but observation time requirement increases
Solution Approach 1:
The patent changes the detection parameters by introducing multiple threshold levels (Smin1, Smin2) with corresponding time requirements (Tmin1, Tmin2), allowing flexible adjustment of detection sensitivity and time requirements based on object size and importance, rather than using fixed thresholds
Data Source
AI summary
A method for determining if an object has been observed by user, said object being rendered in a graphical environment provided to a user with a head-mounted device, where the computer generated graphical environment is able to change over time. The method includes a) determining if the geometric proportion S of the size of the object, in relation to the total field of view generated in the graphical environment, is larger than a predetermined threshold value (Smin), and, if S is larger than Smin, determining for how long time (T) that S is greater than Smin, and if T is greater than a predetermined time Tmin, determining that the object has been observed by the user.