How to measure happiness and other emotions?bf80a648-d115-436d... · How to measure happiness and...
Transcript of How to measure happiness and other emotions?bf80a648-d115-436d... · How to measure happiness and...
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How to measure happiness and other emotions?Marius Stein Software Engineer, happimeter.org, MIT
05.06.2018
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Mood Sensing Recommender Systems will be a Commodity in
5 – 10 years
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“Happiness is a state of activity!”
Aristoteles (384 BCE – 322 BCE)
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“Activity is measurable by wearable sensors”
Every fitness tracker out there!
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Happimeter - Introduction
Smart watch based body sensor:
Polls user about wellbeing, productivity, stress…
Records body signals of wearer
Use machine learning to predict mood
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Happimeter – Input
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Happimeter - Sensors
Accelerometer Heart-rate-monitor
Location (GPS)
Step Counter Current Activity
Weather
Microphone Proximity
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Happimeter - In Numbers
On three dimensions
94% 86%
On all nine
dimensions
Mood Prediction Accuracy
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Happimeter – Mood Drivers
What drives your mood?
Weather MovementExternal Driver Internal Driver
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Happimeter in Organizations
How to bring your collaboration to the next level with the happimeter?
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Collaboration Quality
We can measure and improve
collaboration Quality!
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Emotion Dashboard
We can show you how stressed your
colleagues are!
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Outline Information Flow
We can outline the informal
communication network!
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Current Projects
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Mood controlled lighting
Use sensor data to assess mood state
in office (e.g. stressed, tired vs. people
working together in flow)
Change lighting to induce desired mood
state. Measure and validate change in
mood state
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Creativity workshop
• Three day creativity workshop at German Banking company• 28 participants, 15 wearing Happimeter, 3 Groups• Team tasks: solve a problem employing creative methods• Metrics: self evaluated group creativity score
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The Findings
Goals
• Happimeter Body Signals correlate with creative performance?
• How strong is the correlation?
• Movement influences creativeperformance
• Some Body signals similar aspersonality traits and mood statesin predicting creativity
Multilevel linear model metricsDependent Variable: Creativity ScoreParticipant as random interceptAIC: 10118.7 BIC: 10224.61Std. deviation random effect: 1.818
Results
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How you can benefit?
Outline Informal Communication
Measure Work Satisfaction
Improve Knowledge Flow
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