Subjective data gathering through Experience Sampling Method to complement sensor-based sleep data in a sleep reporting application
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2021-06-18
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en
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Abstract
Modern day life is busy and often results in sleep problems. As low sleep
quality can result in a range of short- and long-term problems it is impera-
tive that we solve our sleep problems. Consumer sleep trackers enable active
engagement and assessment of sleep quality, but the use of sleep trackers has
it shortcomings. Sensordata, combined with repetitive subjective measures
via the Experience Sampling Method (ESM) may be a viable approach to
gather data that can help improve sleep. To nd out whether participants
are willing to use a sleep reporting application that gathers subjective data
through ESM and objective data with a consumer sleep tracker, the Sleep
Experience application was developed. During a 6-day testing period 2 par-
ticipants tested the application. They used a Fitbit tracker during sleep
for gathering objective sleep data and they lled in a questionnaire when
waking up, around 12:00, around 18:00 and before going to bed. In gen-
eral, the participants found it interesting to retrieve new insights in their
sleep. They also though the moments of lling in the questionnaires were
convenient and they did not nd the questionnaires too long. Participants
have found to be willing to use a sleep reporting application that integrates
ESM and an activity tracker as a means for subjective and objective data
gathering to improve their sleep quality. More research is needed on how
this combination can be optimized.
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Faculteit der Sociale Wetenschappen