Computing Device Anxiety Detection With Subtle Calming Adjustments
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Solution Overview
Problem
Existing approaches for managing mental health issues in users, such as PTSD, are not dynamic and require manual intervention, often exacerbating the user's discomfort by being obvious or disruptive.
Innovation Solution
A computing device equipped with sensors and machine learning models automatically detects anxiety levels and adjusts settings like display brightness, color scheme, notifications, and ambient conditions to calm the user without drawing attention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual intervention is used to manage user mental health issues, then the user can be placed in suitable locations, but the approach is not dynamic and cannot be automatically adjusted based on current user state
Solution Approach 1:
The system enables self-service by automatically detecting user anxiety levels through sensor data (heart rate, respiratory rate, pupil dilation) and autonomously adjusting environmental parameters without requiring manual intervention or user indication of their mental state
Solution Approach 2:
The system implements continuous feedback loops where sensor data is constantly monitored, anxiety levels are assessed in real-time, and environmental adjustments are automatically made based on the detected state, creating a dynamic adaptive system
2Object-affected harmful factors
If manual placement strategies are used, then users can be kept away from distracting locations, but the factors are not dynamic and require others to have knowledge of potential issues
Solution Approach 1:
The patent replaces manual mechanical placement strategies with an automated sensor-based detection system that continuously monitors physiological signs of anxiety and automatically adjusts environmental factors without human intervention
Solution Approach 2:
The system introduces sensor data and machine learning models as intermediaries between the user's mental state and the environmental adjustments, enabling automatic translation of physiological signals into appropriate environmental modifications
3Ease of operation
If obvious adjustments are made to help users, then the user's comfort can be improved, but the adjustments may exacerbate the situation by being disruptive or obvious to others
Solution Approach 1:
The system applies localized adjustments to specific environmental parameters (display brightness, color scheme, notifications) based on the detected anxiety level, providing targeted comfort without requiring obvious or disruptive changes to the overall environment
Solution Approach 2:
The adjustments are made dynamically and subtly, transitioning smoothly between different states based on real-time anxiety detection, avoiding abrupt or obvious changes that would disrupt the user's environment or alert others
Data Source
AI summary
Approaches presented herein provide for automatic detection and remediation of various undesired states or behaviors of a user using an electronic device. Embodiments allow for detection of high levels of anxiety (as might be associated with post-traumatic stress disorder (PTSD)) of the user and initiating calming mechanisms to attempt to reduce a level of anxiety in the user. Aspects of the user can be monitored and analyzed to determine a level of anxiety, stress, etc., of the user. Such analysis can be performed using a machine learning model that is trained to infer a level of anxiety of a user based on a variety of possible inputs. If the user is determined to likely be in a high anxiety state, one or more calming mechanisms or adjustments can be made automatically in order to attempt to reduce the level of anxiety being experienced by the user.