The project uses a longitudinal research design and will generate evidence that is descriptive [design research, ethnography, observational], associative/correlational [quasi-experimental], causal [experimental, data mining methods for causal and behavioral patterns], and synthetic [meta-analysis]. Original data are being collected using diaries, observation [personal observation, videography, Web logs], survey research [self-completion questionnaire, semi-structured or informal interviews], and physiological measurements as well as self-report data.
Instruments or measures being used include: (1) accelerometer measurements to capture and assess sleep patterns; (2) heart-rate variability (HRV) monitoring to capture the participants’ stress reactions, recovery and sleep-wake patterns; (3) Brainwave Engagement Sensor to record raw EEG brainwave data and measure the level of “attention” indicating the degree of mental focus and alertness (Beta waves), “meditation” indicating the level of a participant’s mental calmness (Alpha waves); (4) cognitive learning memory tests; and (5) well-being surveys. The project plans to analyze data using video protocol analysis, statistical data analysis and visualization methods, and data mining.
