Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Expert Demand for Consumer Sleep Technology Features and Wearable Devices

Version 1 : Received: 27 December 2021 / Approved: 28 December 2021 / Online: 28 December 2021 (13:58:14 CET)

How to cite: Devine, J.K.; Schwartz, L.P.; Choynowski, J.; Hursh, S.R. Expert Demand for Consumer Sleep Technology Features and Wearable Devices. Preprints 2021, 2021120449 (doi: 10.20944/preprints202112.0449.v1). Devine, J.K.; Schwartz, L.P.; Choynowski, J.; Hursh, S.R. Expert Demand for Consumer Sleep Technology Features and Wearable Devices. Preprints 2021, 2021120449 (doi: 10.20944/preprints202112.0449.v1).

Abstract

Global demand for sleep-tracking wearables, or consumer sleep technologies (CSTs), is steadily increasing. CST marketing campaigns often feature a scientific component, but the scientific relevancy and monetary value of CST features within the sleep research community remains unquantified. Sleep medicine experts were recruited through social media and nonprobability sampling techniques to complete a survey identifying sleep metrics and device features that are most desirable to the scientific community. A hypothetical purchase task (HPT) estimated economic valuation for devices with different features by price. Forty-six (N=46) respondents with an average of 10±6 years’ experience conducting research in real-world settings completed the online survey. Total sleep time was ranked as the most important measure of sleep followed by objective sleep quality while sleep architecture/depth and diagnostic information were ranked as least important. Experts preferred wrist-worn devices that could reliably determine sleep episodes as short as 20 minutes. Economic value was greater for hypothetical devices with longer battery life. These data set a precedent to determine how scientific relevance of a product impacts the potential market value of a CST device. This is the first known attempt to establish consensus opinion or economic valuation for scientifically-desirable CST features and metrics using expert elicitation.

Keywords

behavioral economics; wearables; consumer sleep technology; Internet of Things; economical survey; expert elicitation

Subject

BEHAVIORAL SCIENCES, Other

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