XR Data Presentation for Context-Aware Industrial Task Guidance
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Solution Overview
Problem
Existing systems fail to effectively present data to users in industrial environments, often overwhelming or hindering them due to inappropriate amounts or formats of data, which can obstruct task performance and relevance.
Innovation Solution
A system and method that utilize extended reality devices to receive sensory datasets, determine context information, and present output data based on user intent and environmental conditions, adjusting data presentation formats dynamically based on user inputs and historical data to improve task guidance and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is presented to assist user task performance, then user guidance is improved, but data overload and obstruction occur
Solution Approach 1:
The system segments data presentation by creating multiple virtual channels (e.g., informational, alert, instructional) that categorize and separate different types of data. This allows the user to receive comprehensive information without being overwhelmed by a monolithic data stream, as data is organized into manageable, context-relevant segments.
Solution Approach 2:
The system dynamically adjusts data presentation based on real-time context information about the user's task state, environment, and preferences. Virtual channels are activated or deactivated dynamically, and data flow rates are adjusted based on user workload and task criticality, transforming static data presentation into an adaptive system that responds to changing conditions.
2Loss of information
If comprehensive data is provided to users, then task information completeness is improved, but user overload and hindrance occur
Solution Approach 1:
The system applies local quality by tailoring data presentation to specific user needs, task contexts, and environmental conditions. Different virtual channels provide different data qualities and detail levels appropriate to their purpose - for example, alert channels provide high-priority concise information while informational channels provide comprehensive but lower-priority data.
Solution Approach 2:
The system changes parameters of data presentation including volume, format, timing, and delivery method based on contextual factors such as user expertise level, task criticality, environmental noise levels, and user preferences. This allows the same comprehensive information to be delivered in differently parameterized forms suitable for various operating conditions.
3Device complexity
If data presentation format is standardized, then system simplicity is improved, but adaptability to different contexts deteriorates
Solution Approach 1:
The system implements universality through virtual channels that serve multiple functions - they can transport different types of data (visual, audio, haptic), adapt to different user preferences, and respond to various contextual conditions while maintaining a unified architectural framework. This allows a single standardized channel structure to handle diverse presentation needs.
Solution Approach 2:
Virtual channels act as intermediary layers between the data source and the user, providing a standardized interface that mediates between simple system architecture and complex adaptive requirements. The channels translate contextual parameters and user preferences into appropriate data presentations without requiring complex point-to-point customization.
Data Source
AI summary
A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive sensory datasets associated with an industrial automation system, determine context information based on a sensory dataset and representative of an environmental condition, predict an intent of a user to complete a task associated with the industrial automation system based on the sensory datasets and the context information, present first output representative data via an extended reality device based on the intent and a setting, the setting including a data presentation format for presenting the sensory datasets, receive inputs indicative of changes to the data presentation format, present second output representative data via the extended reality device in response to receiving the inputs, and update the setting based on the inputs and historical data indicative of users changing the data presentation format of the first output representative data.