Messaging Tonality Adjustment Using Physiological Feedback
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Solution Overview
Problem
Conventional wearable devices lack the ability to tailor messaging tonality to individual users based on their physiological and behavioral data, leading to reduced engagement and motivation for health improvement.
Innovation Solution
A system that utilizes large language models to evaluate the effectiveness of different messaging tonalities by comparing baseline and post-message physiological data, adjusting the messaging tonality to optimize user response and health outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform messaging delivery is used for all users, then device complexity is reduced and ease of operation is improved, but user engagement and motivation deteriorate
Solution Approach 1:
The patent applies local quality by customizing messaging tonality for individual users based on their physiological data and response patterns. Different users receive messages with different tonalities (e.g., encouraging, factual, empathetic) tailored to their specific needs and responses, rather than using a uniform approach for all users.
Solution Approach 2:
The messaging system dynamically adapts tonality based on real-time physiological data and user responses. The system continuously monitors user physiological states and adjusts messaging tonality accordingly, making the messaging approach flexible and responsive rather than static and uniform.
2Adaptability or versatility
If personalized messaging tonality is implemented, then user engagement and motivation are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system uses physiological data as feedback to continuously refine and adjust messaging tonality. By monitoring user physiological responses to different messaging tonalities, the system learns what works best for each user and adjusts accordingly, creating a closed-loop adaptive system that improves over time.
Solution Approach 2:
The messaging system serves itself by automatically selecting and adjusting tonality based on physiological data without requiring manual intervention. The system autonomously processes physiological data, determines appropriate tonality, and delivers customized messages, reducing the need for complex manual configuration.
3Reliability
If physiological data is continuously monitored to adjust messaging, then messaging effectiveness is improved, but energy consumption and data collection requirements increase
Solution Approach 1:
The system applies partial action by selectively monitoring physiological data only when needed for messaging adjustments rather than continuously. It collects and processes only the specific physiological parameters relevant to messaging tonality selection, avoiding unnecessary data collection and energy consumption.
Data Source
AI summary
Methods, systems, and devices for adjusting a messaging tonality of messages delivered to a user are described. The system may acquire baseline physiological data measured from the user and generate one or more messages based on the baseline physiological data and in accordance with a first messaging tonality. The system may acquire additional physiological data from the user based on providing the one or more messages. In some cases, the system may perform an evaluation of the first messaging tonality by comparing the additional physiological data with the baseline physiological data and select a second messaging tonality from a plurality of messaging tonalities based on the evaluation of the first messaging tonality. The system may generate one or more additional messages to be provided to the user in accordance with the second messaging tonality based on selecting the second messaging tonality.