COINs 2017 Workshop:
Analyzing Your Happiness at COINs with the HappimeterPeter Goor, Pascal Budner, Joscha EirichWorkshop Overview
In this two-hour workshop we will introduce a novel device, the happimeter, asmartwatch-based device, to instantaneously measure your happiness.
At the workshop participants will get a happimeter, which we will help set up foreach user. Participants can also do a standardized personality test (Neo-FFI) to learn
about their personality characteristics, and further increase the accuracy of theHappimeter. Participants will then wear the happimeter during the entire COINs
conference, to measure which events had the most positive (or negative) influenceon their mood, and what and who made them happy (or unhappy).
You will learn in this workshop:- how the happimeter works, and how happiness is measured- you will get a happimeter to wear for the rest of the conference- you will learn about what and who makes you happy during the conference- you will learn about how happy the audience will be with your presentation(you can opt-in for sharing this analysis in real-time)

Happimeter Description
We are using commercially available smartwatches to create a body sensing systemthat can measure individual mood states and interactions between people. It
consists of a Pebble smartwatch, and a Pebble app, a smartphone app, and a Web
site. The smartwatch also accesses the smartphone’s location sensing and datatransmission capacity, as well as its processing power. The smartwatches provide
data on the body movement through accelerometer, lighting level and heart rate.

Unlike sociometric badges, which we have used in earlier experiments, the watches
are designed to be worn constantly, naturally and non-intrusively, and theirrechargeable batteries have robust charge length. Their displays also enable easy
two-way communication to give status updates to wearers and collect their input at
random times through experience-based sampling. With the happimeter users areable to track how they feel and how happy they are , for instance during an event
such as a meeting, or a conference. Through machine learning algorithms, they get
regular reports with insights about their happiness as well as the factors that
influenced the happiness. We use this sensing system to track work groupmood/interactions to increase team collaboration.
The picture below illustrates how the user can train the system with her current
happiness, entering it on the smartwatch.
Intro Screen:

Mood of Friends- Shows mood prediction- Asks user for mood input- Navigates to mood ofFriends

Mood input screen

Achievement

The Pebble happimeter app is extended with a smartphone happimeter app foriPhone and Android, which provides additional information on individual and groupmood states.

Clusters locations of user and shows:
Average activity, average pleasance and average moodYou will also get individual insights on what and who makes you happy. The screen
below shows the individual insights screen available on the happimeter.org Website.

The screen below shows the aggregated happiness and activation levels of a team of
5 members over time accessible through the happimeter.org Web site.

Our final hypothesis is that knowing about our own happiness, and what and whomakes us happy, will increase our own happiness.
Workshop organizers:
Pascal Budner is a graduate student in information systems at the faculty ofmanagement, economics, and social sciences at the University of Cologne, where healso obtained his undergraduate degree.
Joscha Eirich is a graduate student in business administration and IT with emphasis
on statistics at the University of Bamberg, where he also obtained his undergraduate
degree.
Peter Gloor is a research scientist at the MIT Center for Collective Intelligence, wherehe leads a project on Collaborative Innovation Networks (COINs) as well as Chief
Creative Officer of software company galaxyadvisors.
Maximum number of participants: 40
Workshop length: 2 hours