Organizational Wellbeing Measurement Using Anonymous Office Pod Sensors
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Solution Overview
Problem
Existing methods for measuring organizational wellbeing are limited and do not effectively capture collective emotional and physical states of employees in a workplace setting, lacking comprehensive and non-invasive tools for assessing stress and happiness.
Innovation Solution
Utilizing non-wearable sensors integrated into office pods to gather anonymous physiological data, such as heart rate variability and laughter, to detect trends and events indicative of organizational wellbeing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wearable sensors are used to measure organizational wellbeing, then person-specific scores can be obtained, but employee privacy is compromised and data collection becomes intrusive
Solution Approach 1:
The patent extracts individual identification from the measurement system by using office pods as anonymous data collection points. Instead of tracking specific employees, the system measures physiological data at the location level, separating the measurement function from individual identification to protect privacy while maintaining measurement capability.
Solution Approach 2:
The office pod acts as an intermediary between employees and the measurement system. Employees interact with the pod normally for work purposes, and the pod passively collects physiological data without requiring employees to wear sensors or provide identification, thus mediating the measurement process to protect privacy.
2Quantity of substance
If surveys and questionnaires are used to measure organizational wellbeing, then data can be collected, but the process is time-consuming and does not capture real-time physiological states
Solution Approach 1:
The system enables continuous, passive physiological measurement as employees naturally use the office pods for work activities. Unlike periodic surveys, the sensors continuously monitor heart rate, respiration, and movement without interrupting work flow, providing ongoing data collection that reflects real-time physiological states.
Solution Approach 2:
Employees perform their work activities normally without needing to actively participate in measurements. The system serves itself by automatically collecting and processing physiological data in the background, eliminating the time employees would spend completing surveys while maintaining continuous measurement capability.
3Productivity
If push-button polling devices are used in workplace corridors, then quick measurements can be obtained, but the data does not capture person-specific physiological responses to stress and happiness
Solution Approach 1:
The patent replaces mechanical push-button polling with automated optical and physiological sensing systems. Sensors detect heart rate, respiration, and body movement through the office pod structure, substituting manual input with automatic physiological measurement to capture genuine biological responses to stress and happiness without requiring employee action.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides a non-invasive, collective measurement of employee stress and happiness without individual identification, enabling actionable insights for organizational improvements.
Implementation Method 1
obtaining a ballistocardiographic (BCG) signal
Implementation Method 2
sensors that detect movement, such as a pressure sensor
Implementation Method 3
sensors that detect movement, such as a pressure sensor, a radar
Implementation Method 4
identifying or extracting physiological phenomenon or phenomena from the raw sensor data. In certain embodiments, such a physiological phenomenon is heart rate. In certain embodiments, such a physiological phenomenon is heart rate variability (HRV)
Data Source
AI summary
A method of measuring organizational wellbeing, including gathering physiological data of a plurality of unidentified persons from at least one non-wearable sensor within an organization, and detecting events or trends indicative of organizational wellbeing from the gathered data.


