The main purpose of DIG IN is to show that the operator well-being can be measured digitally and to demonstrate how real-time data can be visualised and presented for the operator. Four technical devices, that measure physiological data (heart rate frequency, EEG, arousal and temperature), have been tested in this project during:
• 13 lab-experiments to investigate how external factors (light, sound and temperature) affect operator experience and performance.
• 5 user studies where three activities were carried out to test the devices usability.
Figure 1: The four devices 1-4 (top to bottom) and visualizations of their outputs. 1. Activity bracelet (Empatica), 2. Breathing frequency, 3. Heart frequency bracelet (Sony Smartband 2) and 4. Brain activity (EPOC+)
The goal of this project was to present a demonstrator where well-being is measured digitally and presented in a simple and relevant way.
The demonstrator that was developed is an interface that visualises physiological data in real-time (Figure 2). The interface also visualise four work environment factors in real-time: temperature, carbon-oxide, light and sound levels. The field below the work environment indicators is a comment field where notifications are shown if a threshold value is exceeded. For instance, if the temperature is too high (above 23 degrees) a message is given together with a suggestion of what to do. Butler metaphor was used as a method of presenting the feedback and information by suggesting the solution to the operator instead of automatically regulating it.
Figure 2: Demonstrator measuring physiological data (digital well-being) and work environment in real-time.
The demonstrator also saves data so that you can study history to compare physiological data with environmental data at a specific time (Figure 3).
Figure 3: Demonstrator showing history
The demonstrator was evaluated during a workshop where experts from ‘People in Production Systems’ (Produktion2030, VINNOVA) were invited to participate. The workshop was held on the 20th of January with 15 participants (8 researchers, 3 company representatives and 4 project participants) and ascertained that the demonstrator had potential. The strengths are that it is flexible, mobile based and that you could connect it with many data sources. It was also considered to be a first step to increasing awareness of measuring well-being at the workplace. Some identified weaknesses include that the data is difficult to interpret and that there could be issues surrounding personal integrity that need to be considered (who should have access to the data).
Figure 4: Pictures from the workshop, 20th of January