Worker Interruptibility Analysis Using Sensor Activity Data
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Solution Overview
Problem
Workers experience productivity decreases due to interruptions during critical work periods, as existing technologies lack effective methods to assess and communicate their interruptibility status in real-time.
Innovation Solution
A computing device system that tracks activity data from sensors to generate a live interruptibility status, using a status analyzer to display indicators such as 'available,' 'busy,' or 'do-not-disturb' through a lighting system or instant messaging clients, based on historical and real-time data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time activity tracking and analysis is implemented to determine worker interruptibility status, then productivity is improved by reducing unnecessary interruptions, but device complexity increases due to multiple sensors and processing components
Solution Approach 1:
The patent combines multiple sensors (microphone, camera, accelerometer, gyroscope) and processing functions into an integrated computing device that collectively determines interruptibility status. This merging approach improves productivity through comprehensive activity tracking while managing complexity through unified system architecture.
Solution Approach 2:
The computing device performs multiple functions: it tracks physical activity via sensors, processes audio and video data, analyzes activity patterns against thresholds, determines interruptibility status, and communicates with other devices. This multi-functionality allows a single device to improve productivity across various work scenarios without requiring separate specialized systems.
2Measurement precision
If continuous monitoring of activity data is performed to accurately assess interruptibility status, then measurement precision is improved for determining worker availability, but energy consumption increases due to continuous sensor operation and data processing
Solution Approach 1:
The system performs periodic evaluation of activity data against thresholds at defined intervals rather than continuous monitoring. This allows accurate determination of interruptibility status by assessing whether activity levels have been sustained above thresholds for specific time periods, thereby reducing energy consumption while maintaining measurement precision.
Solution Approach 2:
The system dynamically adjusts monitoring based on current activity levels. When activity exceeds thresholds, the system intensifies monitoring to accurately detect flow states. When activity is low, monitoring frequency is reduced, optimizing energy consumption while maintaining precision when it matters most.
3Loss of information
If multiple status indicators are displayed to communicate interruptibility status across different devices, then information availability is improved for colleagues and supervisors, but loss of information increases due to potential inconsistencies across multiple display locations
Solution Approach 1:
The system implements feedback mechanisms where status indicators are continuously updated across all display devices based on real-time activity data analysis. Each device receives and displays the current interruptibility status, ensuring consistency through centralized status determination and distributed display with real-time synchronization.
Solution Approach 2:
The computing device acts as an intermediary that centralizes the determination of interruptibility status and distributes this information to multiple display devices and communication platforms. This intermediary role ensures that all colleagues and supervisors receive consistent status information while maintaining versatility across different communication channels.
Data Source
AI summary
Technologies for interruptibility analysis and notification are disclosed. In at least one illustrative embodiment, a method may comprise generating a live data stream including activity data received from one or more sensors associated with a worker, repeatedly generating an interruptibility status of the worker as a function of the activity data in the live data stream over a recent time period, and transmitting a signal that causes one of a plurality of status indicators to be displayed, the displayed status indicator corresponding to the current interruptibility status of the worker.