The Moodmetric Technology in Research

The Moodmetric ring and app are the simplest solution to measure stress and excitement. Take the benefit of the Moodmetric continuous measurement and real-time feedback to support your research.

pic for measurement

The Moodmetric ring is developed to analyze the activation of the sympathetic nervous system, ie. the fight-or-flight reaction. This can be detected through the skin conductance response measurement. It is best done from the palmar skin or fingers, which makes the ring form perfect to obtain accurate data.

Where can the electrodermal activity measurement be applied

This phenomen of electrodermal activity / galvanic skin response has been an input for research for over hundred years. It is used in large extent for instance in
– Psychological research
– Clinical research & psychotherapy
– Media & advertising testing
– Consumer neuroscience & marketing
– Usability testing & UX design

How the Moodmetric ring is used

The Moodmetric ring is a non-intrusive way to measure the electrodermal activity, which enables long term measurement outside a laboratory setting. The ring is worn as a normal ring. It connects to a smartphone app via bluetooth smart and real-time measurement works within 5m radius.
The app shows the electrodermal responses measured by the ring and the output of the signal analysis which is the Moodmetric index (0…100).  In addition, the Moodmetric number among other data, so the ring can be worn without phone connection. The data can be synced any time.
Direct data streaming from the ring to Windows PC is possible with a BLE dongle. This enables also access to EDA raw data.

In addition to EDA sensors, there is a three axis accelerometer inside the Moodmetric ring. This enables for example measuring the step count, that is included in the app.

The measuring and output

Due to the advanced signal analysis methods to derive the Moodmetric index, the measurement works for everyone. It adapts to the typical level of the person using the ring. The ring learns the levels of the user, becomes personal, and always gives a number between 0 and 100, with a typical activation level of 50. If the user changes you can reset and the learning starts from the beginning.

The algorithm also includes an advanced artefact rejection. The electrodes touch the skin and even if your hand moves the algorithm rejects the disturbances in the signal caused by the electrode movement.

The Moodmetric measurement accuracy and current use in research

The Moodmetric ring feasibility for research has been verified by the Finnish Institute of Occupational health.
http://ieeexplore.ieee.org/document/7319865/?reload=true&arnumber=7319865
It is used currently in following research programs:

Pop up

‘Pop up  – knowledge work productivity’ research project provides new research results, practical methods and measurement tools for developing knowledge work productivity and well-being at work. Knowledge work is analyzed through a work system including physical, virtual, social and emotional environments. This project develops and utilizes participatory Pop up –method for designing and testing new work environments and practices that provides more productive ways of working. In addition, the project develops metrics and measurement tools for analyzing the impacts of new work designs. Mobile devices, sensors and applications are utilized to study fluency and experienced well-being and productivity of knowledge work.

Project’s multidisciplinary team comprises researchers from Tampere University of Technology (TUT) and Aalto University. The project is carried out in close collaboration with industry partners: Tampere Region Economic Development Agency Tredea, Arkkitehtitoimisto Helamaa&Heiskanen, University Properties of Finland Ltd, Martela and Moodmetric.

Contact persons:
TUT Novi research center: Maiju Vuolle, maiju.vuolle(at)tut.fi
TUT Human-centered technology: Kaisa Väänänen, kaisa.vaananen(at)tut.fi
TUT School of Architecture: Jenni Poutanen, jenni.poutanen(at)tut.fi
Aalto Virtual and mobile work research unit: Matti Vartiainen, matti.vartiainen(at)aalto.fi
DEEVA

DEEVA project utilizes the opportunities of digitalization to create value from data and to develop new, customer driven service products and methods which support value co-creation and that are based on deep understanding of customer experience.

The research question is as follows: what kinds of means, modes and contexts combining data, emotions and experiences digitalization enables. The project is carried out with a large and versatile network of enterprises. The participating 20 companies vary in size and industry, e.g. energy, media, bank, ICT, real estate, commercial and service sectors are represented in the project.  Multisectoral group of enterprises enhance both co-learning and gaining new insights into the research topic.

The project is executed by a multidisciplinary research consortium of three universities: Tampere University of Technology, Turku University of Applied Sciences and Tampere University of Applied Sciences in co-operation with six international universities.  In addition to knowledge and publications for different target groups the project will create tools and applications for measuring customer experience and analyzing emotion data in real-time. The information provided by the tools and applications can be used in everyday activities of companies to support e.g. management of multi-channeled service environment and development of new service products and co-creative ecosystems.

Contact persons:
TUT Novi research center: Nina Helander, nina.helander(at)tut.fi
TUAS AADI Research group: Harri Jalonen, harri.jalonen(at)turkuamk.fi
TAMK Mediapolis: Leena Mäkelä, leena.makela(at)tamk.fi