Industrial XR User Experiences for Context-Aware Data Guidance
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Solution Overview
Problem
Existing systems fail to effectively present data to users in industrial environments, often overwhelming or hindering users due to inappropriate amounts or formats of data.
Innovation Solution
A system and method that utilize processing circuitry to receive sensory datasets from various sensors, determine context information, and present output data in a manner optimized based on user input and context, using extended reality devices to combine real-world and virtual elements.
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 the amount and format of data may overwhelm or hinder the user
Solution Approach 1:
The system segments data presentation by creating multiple user experience modes (first UX for past events, second UX for future events) that divide the information delivery based on temporal context. This allows the system to present appropriate data quantities in organized segments rather than overwhelming the user with all data at once
Solution Approach 2:
The system dynamically adjusts the amount and format of data presented based on real-time context information about user state, task progress, and environmental factors. The data presentation is not static but adapts continuously to optimize guidance while preventing information overload
2Ease of operation
If data is presented in multiple formats to assist user task performance, then user guidance is improved, but the complexity of data presentation increases
Solution Approach 1:
The system employs a unified context information determination mechanism that serves multiple functions: analyzing user state, assessing task context, evaluating environmental conditions, and selecting appropriate data presentation formats. This multi-functional approach manages presentation complexity through a single intelligent decision-making core rather than separate systems for each format type
3Productivity
If context information is determined to optimize data presentation, then task efficiency is improved, but processing requirements increase
Solution Approach 1:
The system performs preliminary determination of context information by pre-processing sensor data and pre-identifying relevant contextual factors before actual data presentation occurs. This advance preparation optimizes subsequent data delivery efficiency while distributing processing load over time, reducing peak energy requirements
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 user input indicative of a selection of a user experience of a plurality of user experiences. The plurality of user experiences include a first user experience associated with a first event that occurred in an industrial automation system at a first time prior to receiving the user input and a second user experience associated with a second event expected to occur in the industrial automation system at a second time after receiving the user input. When executed, the instructions also cause the processing circuitry to determine, based on the user input, output representative data associated with the industrial automation system and instruct an extended reality device to present the output representative data.