Abstract
Ecological Momentary Assessment (EMA) is the state-of-the-art methodology to capture an individual’s experiences (e.g., feelings, thoughts, behaviors) in daily life in an ecologically valid way. In this chapter, we outline the prominent role of EMA within a broader mobile sensing framework connecting domains of data acquisition from a range of sensing sources. We particularly highlight the advantages of context-aware assessment strategies that link the assessment of experiences to specific sensing events or patterns. Finally, we discuss strategies that go beyond assessment to implement innovative Ecological Momentary Interventions in real-life.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bolger N, Laurenceau J-P (2013) Intensive longitudinal methods: an introduction to diary and experience sampling research. Guilford Press
Conner TS, Feldman Barrett L (2012) trends in ambulatory self-report: the role of momentary experience in psychosomatic medicine. Psychosom Med 74(4):327–337. https://doi.org/10.1097/PSY.0b013e3182546f18
De Backere F, den Bergh JV, Coppers S et al (2017) Social-aware event handling within the FallRisk project. Methods Inf Med 56(1):63–73. https://doi.org/10.3414/ME15-02-0010
Ebner-Priemer UW, Koudela S, Mutz G, Kanning M (2013) Interactive multimodal ambulatory monitoring to investigate the association between physical activity and affect. Front Psychol 3. https://doi.org/10.3389/fpsyg.2012.00596
Fahrenberg J (1996) Ambulatory assessment. In: Fahrenberg J, Myrtek M (eds) Ambulatory assessment. Hogrefe & Huber, Seattle
Fahrenberg J, Myrtek M, Pawlik K, Perrez M (2007) Ambulatory assessment—monitoring behavior in daily life settings. Eur J Psychol Assess 23(4):206–213. https://doi.org/10.1027/1015-5759.23.4.206
Gustafson DH, McTavish FM, Chih M-Y et al (2014) A smartphone application to support recovery from alcoholism: a randomized clinical trial. JAMA Psychiatry 71(5):566. https://doi.org/10.1001/jamapsychiatry.2013.4642
Hébert ET, Stevens EM, Frank SG et al (2018) An ecological momentary intervention for smoking cessation: the associations of just-in-time, tailored messages with lapse risk factors. Addict Behav 78:30–35. https://doi.org/10.1016/j.addbeh.2017.10.026
Heron KE, Smyth JM (2010) Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. 15:1–39
Intille SS, Rondoni J, Kukla C et al (2003) A context-aware experience sampling tool. CHI ’03 extended abstracts on human factors in computing systems. ACM, New York, NY, USA, pp 972–973
Intille SS (2012) Emerging technology for studying daily life. In: Mehl MR, Conner TS (eds) Handbook of research methods for studying daily life. Guilford, New York, pp 267–284
Kubiak T, Krog K (2012) Computerized sampling of experiences and behaviour. In: Mehl MR, Conner TS (eds) Handbook of research methods for studying daily life. Guilford, New York, pp 124–143
Kubiak T, Stone AA (2012) Ambulatory monitoring of biobehavioral processes in health and disease. Psychosom Med 74(4):325–326. https://doi.org/10.1097/PSY.0b013e31825878da
Lakerveld J, van der Ploeg HP, Kroeze W et al (2014) Towards the integration and development of a cross-European research network and infrastructure: the DEterminants of DIet and Physical ACtivity (DEDIPAC) knowledge Hub. Int J Behav Nutr Phys Act 11(1):143. https://doi.org/10.1186/s12966-014-0143-7
Mehl MR, Robbins ML, große Deters F (2012) Naturalistic observation of health-relevant social processes: the electronically activated recorder (EAR) methodology in psychosomatics. Psychosom Med 74(4):410–417. https://doi.org/10.1097/psy.0b013e3182545470
Mehl MR, Conner TS (eds) (2012) Handbook of research methods for studying daily life. Guilford, New York
Rowland Z, Wenzel M, Kubiak T (2016) The effects of computer-based mindfulness training on self-control and mindfulness within Ambulatorily assessed network systems across Health-related domains in a healthy student population (SMASH): study protocol for a randomized controlled trial. Trials 17(1):570. https://doi.org/10.1186/s13063-016-1707-4
Rowland Z, Wenzel M, Kubiak T (2018) A mind full of happiness: how mindfulness shapes affect dynamics in daily life. Emotion No Pagination Specified-No Pagination Specified. https://doi.org/10.1037/emo0000562
Shiffman S (2014) Conceptualizing analyses of ecological momentary assessment data. Nicotine Tob Res 16(2):S76–S87. https://doi.org/10.1093/ntr/ntt195
Shiffman S, Stone AA, Hufford MR (2008) Ecological momentary assessment. Annu Rev Clin Psychol 4(1):1–32. https://doi.org/10.1146/annurev.clinpsy.3.022806.091415
Sliwinski MJ, Mogle JA, Hyun J et al (2018) Reliability and validity of ambulatory cognitive assessments. Assessment 25(1):14–30. https://doi.org/10.1177/1073191116643164
Smyth JM, Heron KE (2016) Is providing mobile interventions “just-in-time” helpful? an experimental proof of concept study of just-in-time intervention for stress management. In: 2016 IEEE Wireless Health (WH). pp 1–7
Smyth JM, Juth V, Ma J, Sliwinski M (2017) A slice of life: ecologically valid methods for research on social relationships and health across the life span. Soc Pers Psychol Compass 11(10):e12356. https://doi.org/10.1111/spc3.12356
Stone A, Shiffman S, Atienza A, Nebeling L (2007) The science of real-time data capture: self-reports in health research. Oxford University Press
Trull TJ, Ebner-Priemer UW (2009) Using experience sampling methods/ecological momentary assessment (ESM/EMA) in clinical assessment and clinical research: introduction to the special section. Psychol Assess 21(4):457–462. https://doi.org/10.1037/a0017653
Van Laerhoven K, Wenzel M, Geelen A et al (2017) Experiences from a wearable-mobile acquisition system for ambulatory assessment of diet and activity. In: Proceedings of the 4th international workshop on sensor-based activity recognition and interaction. ACM, New York, NY, USA, p 3
Wenzel M, Geelen A, Wolters M, et al (2019) The role of self-control and the presence of enactment models on sugar-sweetened beverage consumption: a pilot study. Front Psychol 10. https://doi.org/10.3389/fpsyg.2019.01511
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Kubiak, T., Smyth, J.M. (2019). Connecting Domains—Ecological Momentary Assessment in a Mobile Sensing Framework. In: Baumeister, H., Montag, C. (eds) Digital Phenotyping and Mobile Sensing. Studies in Neuroscience, Psychology and Behavioral Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-31620-4_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-31620-4_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-31619-8
Online ISBN: 978-3-030-31620-4
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)