In this workshop we will look at current methods for importing, visualizing and analyzing various dyadic data (such as EDA, accelometer, facial AU or human ratings), along with artefact correction and calculating different indices of synchrony. We will demonstrate the usage of two contemporary open-source packages in Matlab and R environments, with their creators kindly joining us during the morning sessions.
Familiarity with the used languages and time series analysis is required to get the full experience, but participation is open for all researchers at University of Helsinki Centre Campus. This is a great opportunity to ask questions regarding analysis methods from top-level experts on the field and to get inspired working on your own data together with your local colleagues during the afternoon session.
Time: 09:00-16:00, 16th April 2024.
Hybrid participation: Fabianinkatu 24, Room 524 (access via Vuorikatu 3 courtyard, take elevator or stairs from Café Portaali to floor B5, room 524 is on the right after a glass door) and in Zoom (https://helsinki.zoom.us/j/66960147015?pwd=ZXBBYUlCc0h5VUpmRHk1anA4b0dIdz09)
Sign up at: https://elomake.helsinki.fi/lomakkeet/128402/lomakkeet.html
PROGRAM:
Morning sessions with the toolbox creators:
09:00-10:30 EET (GMT+2) (17:00-18:30 AEST, GMT+10)
PEWTR: a MATLAB toolbox for concurrent physiology analysis
Dr. Chase Sherwell, University of Queensland, (https://researchers.uq.edu.au/researcher/19938)
10:30-12:00 EET (GMT+2) (09:30-11:00 CEST, GMT+1)
DyadSync: a toolbox for R (https://github.com/kleinbub/DyadSync)
Prof. Johann R. Kleinbub, University of Padova, (https://kleinbub.it/)
Lunch break:
12:00-13:30 EET (GMT+2)
Afternoon session:
13:30-16:00 EET (GMT+2)
Collaborative work, networking and open discussion. Bring your own data and suggest topics! The organizers will provide example data and technical assistance.
The workshop is organized by Helsinki Institute for Social Sciences and Humanities (HSSH), University of Helsinki.
More information: Pentti Henttonen pentti.henttonen@helsinki.fi, +358504491284