## Appendix A Search Query Strings Used for the Scopus, WoS, and ScienceDirect Database Search
\begin{tabular}{c c c c c c} \hline \hline \multirow{3}{*}{**No**} & \multirow{3}{*}{**Publication**} & \multirow{3}{*}{**Topic**} & \multicolumn{3}{c}{**Study**} \\  & & & **Population,** & **Data Sources or Data** & \\  & & & **Study Period,** & **Gathering Tools** & **Main Results** \\  & & & **and Location** & & \\ \hline
2 & [PERSON] et al. [5] & Scalable passive & 207 individuals & Purple Robot App (data & Mobile phones are a \\  & & sleep monitoring & hired in October & gathering from the available & great resource for \\  & & using mobile & 2015-February & phone sensors); different & providing adequate \\  & & phones & 2016 across & types of mobile phones used & sleep monitoring in \\  & & the USA & to monitor physical activity, & typical use cases. The \\  & & & light intensity, average & average prediction \\  & & & sound intensity and & accuracy of the model \\  & & & dominant sound frequency, & trained only on mobile \\  & & & geographic latitude and & sensor features is \\  & & & longitude, and time of the & approximately 81.8\%, \\  & & & day); daily questionnaire & and the addition of \\  & & & (ecological momentary & time of the day to the \\  & & & assessment data) & feature set increases \\  & & & & this accuracy to 88.8\%. \\ \hline
3 & [PERSON] et al. [93] & Sleep quality, & 8 subjects (4 & Smartphones (various types) & A prediction model \\  & & sleeping habits, & males and 4 & and SleepBot app (sleep & relating to the thermal \\  & & and associated & females) in an & quality); HOBO temperature & environment has been \\  & & cooling & age range of 15 & (dry bulb temperature and & established. The model \\  & & energy use & to 56 years, 30 & relative humidity); handheld & can help quickly \\  & & & September to 30 & air velocity meter & identify the impact of \\  & & & October 2016, & (air velocity) & the thermal \\  & & & Hong Kong & & environment on \\  & & & & & sleep quality. \\ \hline
4 & Burgdorf & The mobile sleep & 8 participants, & Mobile Sleep Lab App & The evaluation of the \\  & & lab app & year 2018, & (processing and & sensors showed their \\  & & & Aachen & visualization of devices and & suitability for assessing \\  & & & (Germany) & sensors data); Samsung & basic sleep \\  & & & & Galaxy S2 S6, HTC One M7 & characteristics, as well \\  & & & & (ambient light detection, & as detecting and \\  & & & & breathing, audio, body & measuring body \\  & & & & movements); Smart watch & movement and \\  & & & & (activity, heart rate, and & brightness. The app \\  & & & & sleep quality); SimpleLink & successfully recorded a \\  & & & & Bluetooth Smart SensorTag & full night of sleep. \\  & & & & CC2541 and CC2650 & & \\  & & & (body movements) & & \\ \hline
5 & Czempik & Impact of light & 31 persons, & Smartphone iPhone 8 and & Mean light levels of \\  & & intensity & March 2018 to & LUX Light Meter App (light & 11 \(\pm\) 9 lux during sleep \\  & & on sleep & April 2019, & levels); Questionnaires & do not negatively affect \\  & & & Katowice & (sleep quality) & the quantity or quality \\  & & & (Poland) & & of sleep. Light levels of \\  & & & & up to 18 lux right before \\  & & & & falling asleep have been \\  & & & & shown to improve \\  & & & & sleep quality. \\ \hline \hline \end{tabular}