Projects financed by Third-Party-Funds
ESM Wearable / ESM Board Admin
MetaWear Admin is a tool for using mbientlab MetaWear boards in experience sampling (ESM) research, which was developed at KL. The app is mainly tested and used with the wearable MetaMotion R. The idea is that researchers can use this tool to configure a device according to their needs (e.g. time/frequency of prompts, vibration, LED lights). The wearable can then be used independently and without having to be connected to a smartphone. All data is stored on the device itself and can be downloaded by reconnecting to the app at a later point in time.
The science application ESMira was specially developed at the Karl Landsteiner University of Health Sciences (KL) for scientific ESM studies and is improved steadily by extending the technical possibilities of the tool. The app was developed to fulfil scientific requirements such as the presentation of an informed consent, data security (data is transferred encrypted to the KL server), and anonymity (randomized number of participants). Furthermore, ESMira does not evaluate any sensor data or other personal settings (e.g. the telephone number) or personal settings (e.g., number of apps installed). The app has a number of functions such as personalization of the timing of prompts ("bings") or graphical feedback for participants. It is also possible to send an e-mail to the principal investigator to request further information. Participation in the study can be terminated at any time with the option "quit study".
ESMira can be installed free of charge via the App Store on smartphones with Android operating system or on iPhones via the App Store. Access to projects can be restricted by using keywords (i.e. only participants who know the keyword have access to the study).
TWEETWORKS | cooperation with HTL Krems
The aim of the joint project with the HTL Krems (IT department) was to retrieve Twitter messages that meet certain criteria (searchterm plus geolocation). Past research has shown that the mood of users is reflected in the content of the tweets. The so-called hedonometers were developed through text analysis, i.e. the affective evaluation of individual words in the tweet allows conclusions to be drawn about the mood of the user (e.g., Dodds et al., 2015; for non-geotagged tweets, see Stieger & Swami, 2014). With the present project, it is possible to locate the mood geographically and chronologically.
SATELIFE | cooperation with HTL Krems
The aim of the joint project with the HTL Krems (IT department) was to read out from satellite data of the Sentinel series (3 and 5P) the corresponding values that meet certain criteria (specific area, specific day, etc.). An API of the browser of the Sentinel Hub is used for this purpose.
Sentinel 5P provides high resolution indicators of air pollutants and cloud cover composition up to twice daily for specific locations. The data is freely available online.
The data obtained will later be linked to psychological variables in order to be able to analyse the impact of pollutants etc. on the psyche globally.
Self-report data, i.e., data from classic questionnaires, are repeatedly criticized because they have disadvantages that call the validity of the data into question (e.g., memory bias, social desirability, prerequisite of introspection ability). Non-reactive data can be an important complement to reduce or quantify this negative influence. The following Device will be used to collect social contacts and non-reactively - via the number of smartphones in the immediate environment.