Agricultural Cab Speech System for Driver Attention
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Solution Overview
Problem
Agricultural work machines often provide irrelevant auditory information to drivers, distracting them and reducing their attention due to the lack of personalized acoustic voice outputs based on driver identity.
Innovation Solution
The implementation of a language machine within the driver's cab that converts relevant text information into acoustic voice outputs, utilizing a setting device to identify drivers and adjust settings to ensure only pertinent information is conveyed, thereby enhancing driver attention by filtering out irrelevant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If acoustic voice outputs are provided to the driver, then information is conveyed to the driver, but driver attention decreases due to irrelevant information
Solution Approach 1:
The patent applies local quality by personalizing the acoustic voice outputs according to the specific driver's needs and preferences. The system stores individual settings for each driver in a data memory, allowing the information delivery to be tailored to each driver rather than providing uniform information to all. This resolves the contradiction by ensuring that the information conveyed is relevant to each specific driver, thereby maintaining their attention while still delivering necessary information.
Solution Approach 2:
The system dynamically adapts the acoustic voice outputs based on the identified driver. The setting device identifies which driver is operating the machine and automatically retrieves the corresponding personalized settings from data memory, dynamically changing the information delivery approach. This dynamic adaptation ensures that each driver receives information appropriate to their needs, preventing attention loss while maintaining effective communication.
2Device complexity
If standardized acoustic voice outputs are used for all drivers, then information delivery is simplified, but driver attention decreases due to lack of personalization
Solution Approach 1:
The system performs preliminary action by pre-storing personalized settings for each driver in the data memory before the driving operation begins. The driver identification and corresponding settings are prepared in advance, so when a driver operates the machine, the system can immediately retrieve and apply the appropriate personalized configuration without adding complexity to the real-time information delivery process. This preliminary preparation maintains system simplicity while enabling personalized attention-grabbing information delivery.
3Productivity
If driver identification and personalized settings are implemented, then driver attention is improved, but device complexity increases
Solution Approach 1:
The system applies self-service by having the setting device automatically identify the driver and retrieve the corresponding personalized settings from data memory without requiring manual intervention. The system serves itself by autonomously matching the identified driver with their stored preferences and configuring the acoustic voice outputs accordingly. This automation reduces the operational complexity despite the enhanced personalization capabilities, as the system manages its own configuration based on driver identification.
Data Source
Figure 1
AI summary
The present invention relates to an agricultural machine (1) for agricultural use in an agricultural field (2), wherein this machine (1) has a driver's cab (3) for a driver (4). The present invention is based on the general idea that not arbitrary, but only information preferred by a driver (2) regarding the agricultural machine (1) is converted into acoustic speech outputs by a speech generator (6).