MetricMe Human Computer Interaction, TU Wien

How do you read a week of your own health data?

MetricMe is a research tool built at the Human Computer Interaction research unit of TU Wien. It shows a week of wearable data — sleep, heart rate variability, energy expenditure, activity — and asks what you take away from it.

The tool is used for academic research only. It gives no medical advice and is not a diagnostic device.

One day of seven
  • Sleep
  • HRV
  • Energy

The Switchboard

Every version of the week view in one place. Open any of them and look through the data yourself.

Open the Switchboard

Why we are running this study

Fitness trackers and smartwatches turn days of physiological measurement into a handful of numbers, rings and short written summaries. Those summaries are compact, confident, and increasingly written by software rather than by a clinician. Very little is known about what people actually conclude from them, and how much the wording and the framing of a summary changes that conclusion.

MetricMe presents the same week of data in different ways and records how participants interpret and judge it. The results feed into peer-reviewed publications on the design of personal health interfaces. No commercial party is involved, and nothing on this site is used to sell or promote a product.

  1. Read and consent

    You are told what is collected before anything is recorded, and you decide whether to continue. Participation is voluntary and can be stopped at any point without giving a reason.

  2. Explore a week

    You work through seven days of health metrics, switch individual metrics on and off, and read the summary that accompanies them.

  3. Answer questions

    A short questionnaire asks what you took away from the week, how much you trust it, and how you would act on it. The whole session takes about 15 to 20 minutes.

What you see in MetricMe

Each day is one ring. The segments are the metrics you have switched on, and the figure in the centre is a combined score for the day. The switches along the top let you add or remove metrics, and the rings redraw immediately.

Seven daily rings, one per day from Saturday to Friday, each showing an overall health score in the centre and coloured segments for hours slept, heart rate variability and calories burned. Toggle switches above the rings turn individual metrics on and off.
A week in MetricMe with three of seven metrics switched on. Every value below a ring is listed in full, so the visualisation can always be checked against the underlying numbers.

What happens to your data

Participation is anonymous. We do not ask for your name, your address or your date of birth, and we do not attempt to identify you from your answers.

  • Your answers in the study, together with the settings you chose while looking at the rings.
  • Technical data that every web server records, such as the IP address and the time of the request. These log entries are deleted after 30 days at the latest.
  • If you reached this study through a participant panel, the identifier that panel assigned to you, used solely to confirm your participation and pay you.

Research data is stored on TU Wien infrastructure, analysed in aggregate, and may be published in anonymised form alongside a scientific article. The controller is TU Wien; the full information on the processing of personal data, the legal bases, and your rights of access, rectification, erasure, restriction, portability, withdrawal and objection is set out in the TU Wien privacy information.

For anything concerning your personal data, including requests to exercise those rights, write to datenschutz@tuwien.ac.at.

Who is behind MetricMe

MetricMe is developed and run at the research unit Human Computer Interaction (E193-05), part of the Institute of Visual Computing and Human-Centered Technology at TU Wien. The unit studies how technology is designed, adopted and experienced, drawing on informatics, psychology, sociology and design.

Questions about the study itself, about a session that went wrong, or about withdrawing your data are answered by the study team.

Study contact
meagan.loerakker@tuwien.ac.at
Research unit
Human Computer Interaction, E193-05
Argentinierstrasse 8, 1040 Vienna, Austria
Controller
Rektorat der Technischen Universität Wien
Karlsplatz 13, 1040 Vienna, Austria
Data protection officer
datenschutz@tuwien.ac.at