Physiological computing (and its sub-discipline Affective Computing) applies data from the body’s periphery (brain waves, skin conductance changes, pupil dynamics, heart rate variability etc.) to generate user-state representations and enable computer systems to dynamically adapt to changes in cognitive and/or affective processing. However, research usually focuses on controlled environments and certified measuring devices. The two-part research seminar aims to explore techniques to apply physiological/affective computing in daily scenarios via adapted instruments and to compare the results to findings from experimental lab studies. Students are asked to form small working groups and tackle (self-chosen) research questions by collecting and analysing physiological data from different experimental settings.
Part 2 aims to carry out data collection in noisy environments and on basis of customized instruments (e.g. smart phones, web cams).
Please note: Taking part does NOT require the attendance of the previous course (Part 1, WiSe 22/23). |
