health life sciences medicine
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.
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Open Data Commons Open Database License v1.0
https://doi.org/10.13026/5f6t-b637
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CogWear: Can we detect cognitive effort with consumer-grade wearables? was accessed on DATE from https://registry.opendata.aws/consumer-grade-wearables.
arn:aws:s3:::physionet-open/consumer-grade-wearables/us-east-1aws s3 ls --no-sign-request s3://physionet-open/consumer-grade-wearables/