Mobile Terminal Attentional Resource Estimation via Dual-Task Sensor Fusion
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Solution Overview
Problem
Current systems for evaluating attentional resources and attention sharing strategies in individuals, particularly for perceptive, postural, locomotion, motor, and functional tasks, are complex, laborious to set up, and require external assistance, lacking adaptability to individual sensori-motor and cognitive capacities, and are not suitable for daily life conditions.
Innovation Solution
A method using a dual-task paradigm implemented in a mobile terminal that evaluates performance ratings during primary and secondary task execution, allowing for the estimation of attentional demand and attention sharing strategies through visual, audio, and touch-sensitive information, with data collection and processing using sensors like accelerometers, magnetometers, and gyroscopes, enabling autonomous evaluation without external support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dual-task evaluation system is implemented using complex laboratory equipment, then measurement precision of attentional resources is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent replaces complex mechanical laboratory equipment with a mobile terminal (smartphone/tablet) that uses software-based dual-task protocols and integrated sensors (accelerometer, gyroscope, magnetometer) to measure attentional resources. This substitution maintains measurement capability while dramatically reducing device complexity and enabling autonomous operation.
Solution Approach 2:
The mobile terminal serves multiple functions: it displays task instructions, collects sensor data from the environment, processes dual-task performance data, and provides feedback. This multi-functionality eliminates the need for separate specialized equipment while maintaining measurement precision.
2Measurement precision
If a dual-task evaluation system requires external assistance for setup and operation, then measurement precision is improved, but ease of operation and adaptability to individual capacities deteriorate
Solution Approach 1:
The system enables individuals to autonomously conduct their own dual-task evaluations using a mobile terminal. The device automatically presents tasks, collects performance data through sensors, processes results, and provides feedback without requiring external researchers or clinicians for setup or operation, while maintaining measurement precision through standardized protocols.
3Measurement precision
If a dual-task evaluation system is designed for clinical environments with controlled conditions, then measurement precision is improved, but adaptability to daily life conditions deteriorates
Solution Approach 1:
The system dynamically adapts to various environments by using the mobile terminal's built-in sensors to capture data in natural daily life settings rather than controlled laboratories. The dual-task protocols can be customized for different contexts (walking, shopping, cooking) while maintaining measurement precision through standardized data processing methods.
4Measurement precision
If comprehensive sensor data collection is implemented for accurate movement determination, then measurement precision is improved, but use of energy and device complexity increase
Solution Approach 1:
The system uses partial sensor activation and selective data collection based on task requirements. Not all sensors operate continuously at full capacity; instead, data collection is optimized to gather sufficient information for accurate movement determination while conserving battery energy through intelligent resource management.
Data Source
AI summary
The invention relates to a method for estimating the attentional resources invoked for execution of a primary task and/or attention sharing strategies developed by an individual, said method being implemented in a mobile terminal, being based on utilization of the dual-task paradigm, and comprising the following steps: Evaluation of first performance ratings of the individual during the execution of a primary task alone, Evaluation of second performance ratings of the individual during the execution of a secondary task alone, Evaluation of third performance ratings of the individual during the simultaneous execution of the primary and secondary tasks, Estimation of the attentional demand required for the execution of the primary task and/or of the effect (beneficial or negative) of a secondary task on the control mechanisms involved in the execution of the primary task and/or attention sharing strategies developed by an individual by comparing the first, second, and third performance ratings.