Driver Discomfort Evaluation Using Personality Profiles
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Solution Overview
Problem
Existing systems for evaluating driver discomfort in Advanced Driver Assistance Systems (ADAS) fail to consider endogenous psychological factors, which can significantly impact driving safety, beyond physiological and behavioral data.
Innovation Solution
A data processing device connected to physiological, behavioral, and vehicle context sensors, incorporating a personality profile and emotional state detection, uses learning algorithms to determine a discomfort level index value, reflecting both exogenous and endogenous influences, and outputs warnings or assistance when thresholds are exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only physiological and behavioral data are used to evaluate driver discomfort, then the measurement is objective and quantifiable, but endogenous psychological factors are not captured
Solution Approach 1:
The patent combines multiple data sources including physiological data, behavioral data, vehicle context information, and personality profile data into a unified discomfort evaluation system. This merging allows the system to capture both objective measurements and subjective psychological factors, resolving the contradiction between objective measurability and comprehensive information capture.
Solution Approach 2:
The patent introduces a personality profile as an intermediary element that bridges the gap between objective physiological/behavioral measurements and subjective psychological states. The personality profile serves as a mediator that helps interpret physiological and behavioral data in the context of individual psychological characteristics, enabling capture of endogenous factors without sacrificing measurement objectivity.
2Measurement precision
If multiple data sources including personality profiles are integrated, then comprehensive discomfort evaluation is achieved, but system complexity increases
Solution Approach 1:
The patent segments the discomfort evaluation system into distinct functional modules: physiological data acquisition, behavioral data acquisition, vehicle context detection, personality profile storage, and integrated analysis. This segmentation allows each component to be developed and maintained independently while achieving comprehensive evaluation through their integration, thus managing system complexity.
Solution Approach 2:
The patent creates a multi-functional data processing device that can handle diverse data types (physiological, behavioral, contextual, and psychological) through a unified architecture. This universal approach allows the same system to perform multiple evaluation functions without requiring separate specialized systems for each data type, reducing overall system complexity.
Data Source
Figure 1
AI summary
The present invention concerns a data processing device (1) configured to be connected to one or more physiological sensors (2a,2b,2c) for receiving physiological data of a user, to one or more behavioral sensors (3) for receiving behavioral data of the user and to a vehicle context detection unit (4) for receiving vehicle context information, and to determine a discomfort level index value based on a personality profile of the user together with at least the vehicle context information and physiological and behavioral data received within corresponding time windows, as well as a method for evaluating user discomfort implemented by said data processing device (1).