Multisensory Interface Control via Dynamic Channel Weighting
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Solution Overview
Problem
Conventional multisensory interfaces face inefficiencies in information transmission due to a fixed distribution ratio across channels, leading to potential losses when user emotional or attentional states change, affecting the effectiveness of information delivery.
Innovation Solution
A multisensory interface control method that estimates user emotional and attentional status to dynamically adjust the importance weighting of information transmission channels, reallocating content accordingly to ensure efficient information delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed distribution ratio is used across information transmission channels, then the system structure is simple and stable, but information loss occurs when user emotional or attentional states change
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed distribution ratio to a dynamic allocation mechanism that adjusts channel importance weightings based on real-time user status estimation. The system continuously monitors emotional and attentional states, then reallocates information transmission channels accordingly, making the previously static allocation system adaptive and responsive to changing user conditions.
Solution Approach 2:
The patent implements parameter changes by modifying the distribution ratio parameters of information transmission channels based on estimated user status. Instead of using constant allocation parameters, the system dynamically adjusts these parameters according to detected emotional and attentional states, allowing the same system to optimize information delivery under varying operational conditions.
2Ease of operation
If information is allocated to multiple channels with constant distribution, then the system is easy to operate, but information loss occurs when transmission channels become difficult to transmit
Solution Approach 1:
The patent implements feedback by continuously monitoring user status (emotional and attentional states) and using this information to adjust channel allocation. The system establishes a closed-loop control mechanism where transmission effectiveness is constantly evaluated through user status estimation, and allocation decisions are refined based on this feedback, preventing information loss without requiring complex manual intervention.
Solution Approach 2:
The system applies self-service by automatically adjusting channel allocations based on its own monitoring of user status. Rather than requiring external intervention or complex user configuration, the system autonomously optimizes information transmission by detecting its own operational context and adapting channel weightings accordingly, maintaining ease of operation while reducing information loss.
3Productivity
If channel allocations are changed dynamically based on user status, then information transmission efficiency is improved, but the system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the information transmission system into distinct channels with individually adjustable weightings. Rather than treating the transmission system as a monolithic unit, it segments the allocation control into channel-specific parameters that can be independently optimized based on user status, improving efficiency while managing complexity through modular organization.
Data Source
AI summary
A multisensory interface control method for a multisensory interface that includes a plurality of information transmission channels, each of which performing information transmission by utilizing one or a plurality of five senses is provided. The multisensory interface control method includes: estimating a user status indicating at least one of an emotional status and an attentional status of a user; setting weightings each of which indicates a degree of importance of a corresponding information transmission channel in accordance with the user status estimated; and changing allocations of a plurality of sets of partial content that configure content transmitted via the multisensory interface, the allocations changed in accordance with the weightings.