System 1/System 2 Communication Channels from Physiological State Data

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Solution Overview

Problem

Existing systems fail to differentiate between System 1 and System 2 type thinking in users, leading to ineffective communication strategies.

Innovation Solution

A system utilizing physiological sensors, an electronic control unit, and machine learning to determine whether a user is employing System 1 or System 2 type thinking, adjusting communication channels accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a single communication channel is used for all users, then device complexity is reduced, but communication effectiveness deteriorates

Engineering Contradiction:

Improvecommunication effectivenessVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system dynamically selects communication channels based on real-time detection of user cognitive state. The electronic control unit monitors physiological signals and task properties, then adaptively switches between System 1 and System 2 communication channels, making the system flexible rather than static

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the parameter of communication channel selection based on detected user state. By monitoring physiological parameters and task characteristics, the system adjusts which communication channel (System 1 or System 2) is active, optimizing communication effectiveness for different cognitive states

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If communication is tailored to user's cognitive state, then communication effectiveness is improved, but measurement precision requirements increase

Engineering Contradiction:

Improvecommunication effectivenessVSAvoidcognitive state detection accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The physiological sensors serve multiple functions: they monitor general user health status, detect cognitive state for communication channel selection, and provide data for machine learning model training. This multi-functionality reduces the need for specialized high-precision sensors for each specific measurement

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Measurement precision

If real-time cognitive state monitoring is implemented, then communication accuracy is improved, but use of energy increases

Engineering Contradiction:

Improvecommunication accuracyVSAvoidenergy consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system implements partial monitoring by selectively measuring only the physiological parameters necessary for cognitive state detection rather than continuously monitoring all possible biomarkers. The machine learning model processes only relevant features from sensor data, reducing computational energy requirements

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12429948B2Systems and methods for selectively communicating to a user via a system 1 or system 2 channel

Publication Date: 2025.09.30 TOYOTA JIDOSHA KK

AI summary

Systems and methods for selecting a channel of communication based on a type of thinking employed by a user for a task are disclosed. The systems and methods include determining that a user is employing System 1 type thinking or System 2 type thinking for the task based on one or more properties of the task, one or more properties of the user, and a state of the user based on physiological response data from one or more physiological sensors monitoring the user, and implementing a channel of communication to utilize for the task that corresponds to a determined type of thinking the user is employing for the task.