Context-Aware Instrument Cluster for Dynamic Driving Information
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Solution Overview
Problem
Instrument clusters in vehicles often overwhelm drivers with irrelevant information, making it difficult to focus on critical driving conditions due to the presence of mechanical analog gauges that occupy valuable space and distract from relevant data.
Innovation Solution
A flexible and context-aware instrument cluster system that uses digital displays to dynamically stream relevant information based on vehicle state, location, and other contextual factors, allowing for automatic display of situationally relevant data without requiring manual navigation by the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple gauges are displayed to provide comprehensive vehicle information, then information completeness is improved, but driver distraction increases and relevant information becomes harder to locate
Solution Approach 1:
The instrument cluster dynamically adjusts which gauges and information are displayed based on the current driving context. The system evaluates multiple factors including driving conditions, vehicle state, and environmental factors to automatically reconfigure the display, ensuring that only contextually relevant information is shown at any given time. This resolves the contradiction by making the information set adaptive rather than static.
Solution Approach 2:
Different regions or sections of the instrument cluster display different types of information based on their relevance to the current driving context. Critical safety-related information is positioned in prominent locations, while less critical information is placed in secondary areas or hidden until needed. This spatial differentiation allows comprehensive information to be available while minimizing distraction from non-critical elements.
2Loss of information
If comprehensive vehicle information is displayed, then awareness of vehicle status is improved, but the complexity of the display increases and overwhelms the driver
Solution Approach 1:
The display complexity dynamically adapts to driving conditions. During normal driving, the system presents simplified views showing only essential information. When abnormal conditions are detected or when the driver requests detailed information, the system expands to show comprehensive vehicle status data. This dynamic adjustment maintains awareness while preventing overwhelming complexity.
Solution Approach 2:
The instrument cluster information is segmented into multiple hierarchical levels or layers. The primary display shows essential information in a simplified format, while additional detailed information is available through secondary displays, pop-up windows, or sequential revelation. This segmentation allows comprehensive information to be organized in manageable portions rather than presented as an overwhelming single view.
3Ease of operation
If manual navigation is required to access specific screen content, then driver control over information is improved, but time is lost and attention is diverted from driving
Solution Approach 1:
The instrument cluster system automatically monitors driving context and proactively presents relevant information without requiring driver initiation. The system evaluates sensor data, vehicle state, and environmental factors to determine what information the driver needs and presents it automatically. This self-service approach eliminates the time loss associated with manual navigation while maintaining driver control through the ability to override or adjust preferences.
Solution Approach 2:
The system continuously monitors driver behavior, vehicle state, and environmental conditions to provide feedback that triggers automatic information presentation. When specific conditions are detected (e.g., abnormal vehicle parameters, critical driving situations), the system automatically adjusts the display to show relevant information. This feedback loop ensures timely information delivery without requiring manual driver input.
Data Source
AI summary
Systems, methods and computer readable storage media provide a flexible and variability-accommodating instrument cluster for display on an in-vehicle screen and a user experience interaction model for providing dynamic driving-context-relevant information via the instrument cluster. The instrument cluster may be shown in a contextual content view, wherein the contextual content view may include a one or more gauges and/or messaging that are determined to be relevant to a determined contextual state of the vehicle. The contextual state of the vehicle may be determined based on signaling data provided by a plurality of data sources, wherein the signaling data may indicate one or a combination of conditions associated with the contextual state. The instrument cluster may be dynamically updated to display the driving-context-relevant information when the contextual state is detected.