Voice-Triggered Action Reminder System for Reducing Mental Burden
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Solution Overview
Problem
Conventional life assisting devices fail to remind users of recently thought actions, leading to increased mental burden when users forget these actions.
Innovation Solution
An information processing method that acquires uttered voice data, detects user motion using sensors, and notifies the user of the action when stationary for a predetermined time, using a device with a microphone, sensor, and processor to extract and output relevant voice data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional life assisting devices store and retrieve action patterns based on voice keywords, then users can be reminded of previously stored actions, but users cannot be reminded of recently thought actions that were never stored
Solution Approach 1:
The system performs preliminary action by detecting user motion states (moving to stationary) and timing the notification delivery in advance of when the user would naturally recall the forgotten action. The notification is delivered at the precise moment when the user is most likely to have forgotten the action, based on predicting the user's cognitive state from motion patterns.
Solution Approach 2:
The system uses motion detection feedback to continuously monitor user state and determine optimal notification timing. By analyzing the transition from moving to stationary state, the system receives feedback about user readiness to receive information, and adjusts notification delivery accordingly to maximize effectiveness.
2Loss of time
If the system notifies the user immediately when an action is forgotten, then the user can quickly recall the action, but the user experiences increased mental burden from frequent interruptions
Solution Approach 1:
Instead of continuous monitoring and immediate notification, the system uses periodic action by notifying the user at specific intervals based on motion state transitions. The notification is delivered periodically when the user transitions from moving to stationary, rather than continuously or immediately upon detecting forgetfulness.
Solution Approach 2:
The system allows the user's own motion patterns to trigger the notification automatically. The user's transition from moving to stationary state serves as the trigger, making the notification system self-regulating based on user behavior rather than requiring external control or immediate system intervention.
3Measurement precision
If the system monitors user motion continuously to detect stationary state, then accurate notification timing can be achieved, but energy consumption increases
Solution Approach 1:
The motion detection operates periodically rather than continuously, checking for motion state transitions at specific intervals. The system monitors for the transition from moving to stationary state and triggers notification at these periodic checkpoints, reducing overall energy consumption while maintaining accurate timing for the critical notification moment.
Data Source
AI summary
An action notification device acquires uttered voice data indicating an action of a user and being uttered by the user; detects a moving motion of the user; detects a stationary motion of the user; determines whether a predetermined time has elapsed in a state where the user is stationary; and notifies the user of contents of the action of the user based on the uttered voice data when it is determined that the predetermined time has elapsed in the state where the user is stationary.


