References
- Moskowitz DS, Young SN. Ecological momentary assessment: what it is and why it is a method of the future in clinical psychopharmacology. J Psychiatry Neurosci. 2006;31:13.
- Shiffman S. Ecological Momentary Assessment (EMA) in studies of substance use. Psychol Assess. 2009;21(4):486–97. doi:https://doi.org/10.1037/a0017074.
- Wray TB, Merrill JE, Monti PM. Using Ecological Momentary Assessment (EMA) to assess situation-level predictors of alcohol use and alcohol-related consequences. Alcohol Res. 2014;36:19–27.
- Stone AA, Shiffman S. Ecological Momentary Assessment (Ema) in behavioral medicine. Ann Behav Med. 1994 September;16(3):199–202. doi:https://doi.org/10.1093/abm/16.3.199.
- Harari GM, Lane ND, Wang R, Crosier BS, Campbell AT, Gosling SD. Using smartphones to collect behavioral data in psychological science: opportunities, practical considerations, and challenges. Perspect Psychol Sci. 2016;11:838–54. doi:https://doi.org/10.1177/1745691616650285.
- Kirchner TR, Cantrell J, Anesetti-Rothermel A, Ganz O, Vallone DM, Abrams DB. Geospatial exposure to point-of-sale tobacco. Am J Prev Med. 2013 October;45(4):379–85. doi:https://doi.org/10.1016/j.amepre.2013.05.016.
- Paolillo EW, Obermeit LC, Tang B, Depp CA, Vaida F, Moore DJ, Moore RC. Smartphone-based ecological momentary assessment (EMA) of alcohol and cannabis use in older adults with and without HIV infection. Addict Behav [Internet]. 2018;83(October 2017):102–08. doi:https://doi.org/10.1016/j.addbeh.2017.10.016. Available from:
- Burke LE, Shiffman S, Music E, Styn MA, Kriska A, Smailagic A, Siewiorek D, Ewing LJ, Chasens E, French B. Ecological momentary assessment in behavioral research: addressing technological and human participant challenges. J Med Internet Res. 2017;19:3. doi:https://doi.org/10.2196/jmir.7138.
- Stein KF, Corte CM. Ecologic momentary assessment of eating-disordered behaviors. Int J Eat Disord. 2003. doi:https://doi.org/10.1002/eat.10194.
- Thomas JG, Bond DS, Ryder BA, Leahey TM, Vithiananthan S, Roye GD, Wing RR. Ecological momentary assessment of recommended postoperative eating and activity behaviors. Surg Obes Relat Dis. 2011. doi:https://doi.org/10.1016/j.soard.2010.10.007.
- Mendez DD, Sanders SA, Karimi HA, Gharani P, Rathbun SL, Gary-Webb TL, Wallace ML, Gianakas JJ, Burke LE, Davis EM. Understanding pregnancy and postpartum health using ecological momentary assessment and mobile technology: protocol for the postpartum Mothers mobile study. JMIR Res Protoc. 2019;8(6):e13569. doi:https://doi.org/10.2196/13569.
- Intille S, Haynes C, Maniar D, Ponnada A, Manjourides J μEMA: microinteraction-based ecological momentary assessment (EMA) using a smartwatch. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp ’16. New York (New York, USA): ACM Press; 2016. p. 1124–28. Heidelberg Germany.
- Morris I, Shiffman S, Beckjord E, Ferguson SG. 24 ecological momentary assessment and technological advances in clinical care. Oxford Handb Digit Technol Ment Heal. 2020;277. Oxford University Press
- Henriksen L, Feighery EC, Schleicher NC, Cowling DW, Kline RS, Fortmann SP. Is adolescent smoking related to the density and proximity of tobacco outlets and retail cigarette advertising near schools? Prev Med. 2008 August;47(2):210–14. doi:https://doi.org/10.1016/j.ypmed.2008.04.008.
- Zenk SN, Schulz AJ, Matthews SA, Odoms-Young A, Wilbur J, Wegrzyn L, Gibbs K, Braunschweig C, Stokes C. Activity space environment and dietary and physical activity behaviors: A pilot study. Health Place. 2011 September;17(5):1150–61. doi:https://doi.org/10.1016/j.healthplace.2011.05.001.
- Fraley RC, Hudson NW Review of intensive longitudinal methods: an introduction to diary and experience sampling research. Taylor & Francis; 2014; 154 (1):89-91.
- Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Quarterly. 2003;27:425–78. doi:https://doi.org/10.2307/30036540.
- Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008;4:1–32. doi:https://doi.org/10.1146/annurev.clinpsy.3.022806.091415.
- Stone AA, Shiffman S, Atienza AA, Nebeling A. 2007. Historical roots and rationale of ecological momentary assessment (EMA). The science of real-time data capture: self-reports in health research.New York, NY: Oxford University Press.
- Czsikszentmihalyi M, Larson R. Validity and reliability of the experience sample method. J Nerv Ment Dis. 1987;175:526–36. doi:https://doi.org/10.1097/00005053-198709000-00004.
- Favil J, Rennick CF. A case of family periodic paralysis. Arch Neurol Psychiatry. 1924;11(6):674–79. doi:https://doi.org/10.1001/archneurpsyc.1924.02190360062005.
- Green AS, Rafaeli E, Bolger N, Shrout PE, Reis HT. Paper or plastic? Data equivalence in paper and electronic diaries. Psychol Methods. 2006;11(1):87. doi:https://doi.org/10.1037/1082-989X.11.1.87.
- Napa Scollon C, Prieto C-K, Diener E. Experience sampling: promises and pitfalls, strength and weaknesses. In: Diener E, editor. Assessing well-being: the collected works of Ed Diener. Dordrecht, Netherlands: Springer Netherlands; 2009. p. 157–80.
- Shiffman S, Paty JA, Gnys M, Kassel JA, Hickcox M. First lapses to smoking: within-subjects analysis of real-time reports. J Consult Clin Psychol. 1996;64(2):366–79. doi:https://doi.org/10.1037/0022-006X.64.2.366.
- Perrine MW, Mundt JC, Searles JS, Lester LS. Validation of daily self-reported alcohol consumption using interactive voice response (IVR) technology. J Stud Alcohol. 1995 September;56(5):487–90. doi:https://doi.org/10.15288/jsa.1995.56.487.
- Runyan JD, Steinke EG. Virtues, ecological momentary assessment/intervention and smartphone technology. Front Psychol. 2015;6(May). doi:https://doi.org/10.3389/fpsyg.2015.00481.
- Burns MN, Begale M, Duffecy J, Gergle D, Karr CJ, Giangrande E, Mohr DC. Harnessing context sensing to develop a mobile intervention for depression. J Med Internet Res. 2011;13:e55. doi:https://doi.org/10.2196/jmir.1838.
- Bossmann T, Kanning M, Koudela-Hamila S, Hey S, Ebner-Priemer U. The association between short periods of everyday life activities and affective states: a replication study using ambulatory assessment. Front Psychol. 2013. doi:https://doi.org/10.3389/fpsyg.2013.00102.
- Walter K, von Haaren B, Löffler S, Härtel S, Jansen CP, Werner C, Stumpp J, Bös K, Hey S. Acute and medium term effects of a 10-week running intervention on mood state in apprentices. Front Psychol. 2013. doi:https://doi.org/10.3389/fpsyg.2013.00411.
- Runyan JD, Steenbergh TA, Bainbridge C, Daugherty DA, Oke L, Fry BN, Chao L. A smartphone ecological momentary assessment/intervention “app” for collecting real-time data and promoting self-awareness. PLoS One. 2013. doi:https://doi.org/10.1371/journal.pone.0071325.
- Kirchner TR, Shiffman S. Spatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA). Soc Psychiatry Psychiatr Epidemiol. 2016;51(9):1211–23. doi:https://doi.org/10.1007/s00127-016-1277-5.
- Watkins KL, Regan SD, Nguyen N, Businelle MS, Kendzor DE, Lam C, Balis D, Cuevas AG, Cao Y, Reitzel LR. Advancing cessation research by integrating EMA and geospatial methodologies: associations between tobacco retail outlets and real-time smoking urges during a quit attempt. Nicotine Tob Res. 2014 May;16(Suppl 2):S93–101. doi:https://doi.org/10.1093/ntr/ntt135.
- Ghosh Roy P, Jones KK, Martyn-Nemeth P, Zenk SN. Contextual correlates of energy-dense snack food and sweetened beverage intake across the day in African American women: an application of ecological momentary assessment. Appetite. 2019 January;132:73–81. doi:https://doi.org/10.1016/j.appet.2018.09.018.
- Mennis J, Mason M, Ambrus A. Urban greenspace is associated with reduced psychological stress among adolescents: a Geographic Ecological Momentary Assessment (GEMA) analysis of activity space. Landsc Urban Plan. 2018;174(February):1–9. doi:https://doi.org/10.1016/j.landurbplan.2018.02.008. Available from:
- Epstein DH, Tyburski M, Craig IM, Phillips KA, Jobes ML, Vahabzadeh M, Mezghanni M, Lin J-L, Furr-Holden CDM, Preston KL. Real-time tracking of neighborhood surroundings and mood in urban drug misusers: application of a new method to study behavior in its geographical context. Drug Alcohol Depend. 2014;134(1):22–29. doi:https://doi.org/10.1016/j.drugalcdep.2013.09.007. Available from:
- Raper J, Gartner G, Karimi H, Rizos C. Applications of location–based services: A selected review. J Locat Based Serv. 2007;1:89–111. doi:https://doi.org/10.1080/17489720701862184.
- Ligorio G, Sabatini A. Extended Kalman filter-based methods for pose estimation using visual, inertial and magnetic sensors: comparative analysis and performance evaluation. Sensors. 2013;13(2):1919–41. doi:https://doi.org/10.3390/s130201919.
- Li M, Mourikis AI. High-precision, consistent EKF-based visual-inertial odometry. Int J Rob Res. 2013;32(6):690–711. doi:https://doi.org/10.1177/0278364913481251.
- Yassin M, Rachid E A survey of positioning techniques and location based services in wireless networks. In: 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). NIT Calicut, Kozhikode, Kerala, India: IEEE; 2015. p. 1–5.