Display Device Gaze Attraction Guide Element
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Solution Overview
Problem
Current gaze tracking systems used in content creation and delivery devices often distract users by visually augmenting desired features, disrupting the user experience, especially when trying to draw attention to advertisements.
Innovation Solution
A method where a display device controls a guide element to move along a computed dynamic path adjacent to the user's gaze location, leading to a target object, and continues or discontinues this path based on the user's gaze divergence threshold, ensuring minimal disruption to the user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a desired location or feature is visually augmented in a prominent manner to capture user attention, then the user's gaze is directed to the target, but the user experience is interrupted and the user is distracted
Solution Approach 1:
A guide element is introduced as an intermediary between the user's current gaze location and the target object. The guide element moves along a computed dynamic path that is adjacent to the user's gaze location, subtly guiding attention without direct visual augmentation of the target. This intermediary approach directs gaze while minimizing disruption to the user experience.
Solution Approach 2:
Instead of globally augmenting the target object with prominent visual effects, the system applies localized visual guidance only in the immediate vicinity of the user's gaze location. The guide element traverses within a predetermined region adjacent to the gaze location, providing targeted guidance without affecting the overall user experience.
2Productivity
If visual augmentation is applied to advertisements to draw user attention, then ad effectiveness is improved, but user appreciation decreases
Solution Approach 1:
The guide element serves as a subtle mediator that leads the user's gaze toward the advertisement without directly augmenting it. This indirect approach maintains user satisfaction while still achieving the advertising objective by guiding attention naturally along a computed path.
Solution Approach 2:
The guide element follows a dynamic path that is continuously computed based on the user's real-time gaze location. This dynamic adaptation allows the guidance to be subtle and context-aware, improving ad effectiveness without causing user frustration through static or overly prominent visual effects.
3Extent of automation
If a guide element continuously moves to the target object, then gaze direction control is maintained, but system complexity increases
Solution Approach 1:
The system continuously monitors the user's gaze location and uses this feedback to dynamically adjust the guide element's path and movement. This feedback loop maintains effective gaze direction control while optimizing the path computation to balance control precision with system complexity.
Solution Approach 2:
The guide element moves along a path that is adjacent to (but not exactly on) the user's gaze location, providing sufficient guidance without requiring perfect precision. This partial action approach maintains effective control while reducing computational complexity compared to exact path tracking.
Data Source
AI summary
Examples relating to attracting the gaze of a viewer of a display are disclosed. One example method comprises controlling the display to display a target object and using gaze tracking data to monitor a viewer gaze location. A guide element is displayed moving along a computed dynamic path that traverses adjacent to a viewer gaze location and leads to the target object. If the viewer's gaze location is within a predetermined divergence threshold of the guide element, then the display continues displaying the guide element moving along the computed dynamic guide path to the target object. If the viewer's gaze location diverts from the guide element by at least the predetermined divergence threshold, then the display discontinues displaying the guide element moving along the computed dynamic guide path to the target object.