CogWear: Can we detect cognitive effort with consumer-grade wearables?

The CogWear database consists of two datasets: pilot and survey gamification
experiment. The pilot dataset includes physiological signals from 11
volunteers captured by three wearable devices (Empatica E4 watch, Samsung
Galaxy Watch4 and Muse S EEG headband) during cognitively demanding task
(Stroop test) and baseline condition (no engagement in any activity). The
pilot dataset was collected to evaluate the experimental setup and the signal
captured by the wearables. In particular, can we detect when people perform a
cognitively demanding task using data from consumer-grade smartwatches. The
survey gamification experiment dataset includes physiological signal collected
from 13 volunteers by three wearable devices (Empatica E4 watch, Samsung
Galaxy Watch4 and Muse S EEG headband) during two sessions. In both sessions
participants, as in the pilot study, engaged in a cognitively demanding task
then rested and did not perform any tasks and finally filled in four mobile
surveys related to work and wellbeing (GRIT, PANAS, HAPPINES and NFR). The
mobile surveys were either gamified or not. The volunteers were divided into
two groups: group 1 filled in gamified surveys in the first session and non-
gamified surveys in the second session, group 2 had the opposite order. There
was a two-week break time between the sessions. This dataset was captured to
investigate whether simple gamification has an impact on the cognitive burden
of filling in the surveys [13].