A Smartphone Ecological Momentary Assessment/Intervention “App” for Collecting Real-Time Data and Promoting Self-Awareness
Open accessAbstract
We have designed a flexible ecological momentary assessment/intervention smartphone (EMA/EMI) "app". We examine the utility of this app for collecting real-time data, and assessing intra-subject variability, by using it to assess how freshman undergraduates spend their time. We also explore whether its use can promote greater self-awareness. Participants were randomly divided into an experimental group, who used the app, and a control group, who did not. We used the app to collect both randomized in-the-moment data as well as end-of-day data to assess time use. Using a posttest survey we asked participants questions about how they spent time throughout the school semester. We also asked the experimental group about their experience with the app. Among other findings, 80.49% participants indicated that they became more aware of how they spent their time using the app. Corroborating this report, among the experimental group, end-of-semester self-assessment of time spent wasted, and time spent using electronics recreationally, predicted semester GPA at a strength comparable to high school GPA and ACT score (two of the best single predictors for first semester college GPA), but had no correlation among controls. We discuss the advantages and limitations of using apps, such as ours, for EMA and/or EMI.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Mobile apps provide a means to more accurately record symptoms through real-time assessments that can be administered outside of the clinic and accurate recall and time of recording.
“Mobile apps provide a means to more accurately record symptoms (e.g., depressive mood, anxious mood or fatigue) through real-time assessments that can be administered outside of the clinic and accurate recall and time of recording [94,95].”
From Wearables and the Medical Revolution (2018) · cites this paper as [94]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Transtheoretical Model of Health Behavior Change.
Prochaska, J. O., & Velicer, W. F. (1997) · American Journal of Health Promotion · doi:10.4278/0890-1171-12.1.38 · Cited by 7,782 · see citing works
Ecological momentary assessment
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.3.022806.091415 · Cited by 6,454 · see citing works
Diary Methods: Capturing Life as it is Lived
Bolger, N., Davis, A., & Rafaeli, E. (2003) · Annual Review of Psychology · doi:10.1146/annurev.psych.54.101601.145030 · Cited by 3,843 · see citing works
Handbook of research methods for studying daily life
Mehl, M. R., Conner, T. S., & Csíkszentmihályi, M. (2012) · Choice Reviews Online · doi:10.5860/choice.50-1159 · Cited by 2,121 · see citing works
Representative design and probabilistic theory in a functional psychology.
Brunswik, E. (1955) · Psychological Review · doi:10.1037/h0047470 · Cited by 1,550 · see citing works
Experience sampling research in psychopathology: opening the black box of daily life
Myin-Germeys, I., Oorschot, M., Collip, D., Lataster, J., Delespaul, P., & van Os, J. (2009) · Psychological Medicine · doi:10.1017/s0033291708004947 · Cited by 817 · see citing works
Patient non-compliance with paper diaries
Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E., & Hufford, M. R. (2002) · BMJ · doi:10.1136/bmj.324.7347.1193 · Cited by 810 · see citing works
Ecological momentary assessment (EMA) in studies of substance use.
Shiffman, S. S. (2009) · Psychological Assessment · doi:10.1037/a0017074 · Cited by 764 · see citing works
Trull, T. J., & Ebner-Priemer, U. (2013) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050212-185510 · Cited by 761 · see citing works
Nock, M. K., Prinstein, M. J., & Sterba, S. K. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0016948 · Cited by 662 · see citing works
The Smartphone Psychology Manifesto
Miller, G. F. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612441215 · Cited by 618 · see citing works
Why researchers should think "within-person": A paradigmatic rationale.
Hamaker, E. L. (2012) · Cited by 472 · see citing works
Emotional reactivity to daily events in major and minor depression.
Bylsma, L. M., Taylor-Clift, A., & Rottenberg, J. (2011) · Journal of Abnormal Psychology · doi:10.1037/a0021662 · Cited by 388 · see citing works
Retrospective and Concurrent Self-Reports: The Rationale for Real-Time Data Capture
Schwarz, N. (2007) · Oxford University Press eBooks · doi:10.1093/oso/9780195178715.003.0002 · Cited by 383 · see citing works
Wolfe, H. K., & Wundt, W. M. (1897) · The Philosophical Review · doi:10.2307/2175592 · Cited by 364 · see citing works
Robbins, S. B., Allen, J., Casillas, A., Peterson, C. H., & Le, H. (2006) · Journal of Educational Psychology · doi:10.1037/0022-0663.98.3.598 · Cited by 332 · see citing works
The Science of Real-Time Data Capture: Self-Reports in Health Research
Atienza, A. A. (2007) · Cited by 289 · see citing works
Ecological Momentary Assessment
Kirchner, T., & Shiffman, S. S. (2013) · Wiley eBooks · doi:10.1002/9781118384404.ch20 · Cited by 286 · see citing works
Rizvi, S. L., Dimeff, L. A., Skutch, J., Carroll, D., & Linehan, M. M. (2011) · Behavior Therapy · doi:10.1016/j.beth.2011.01.003 · Cited by 271 · cited 1× · see citing works
“All of the EMA/EMI studies mentioned above–and all that we are aware of to date save one using a smartphone app designed specifically for Borderline Personality Disorders [26]–have relied on cell phone calls, text messages, or handheld computers, each of which come with inherent limitations that have constrained the u…”
BackgroundAn overview of self-monitoring research in assessment and treatment.
Korotitsch, W. J., & Nelson-Gray, R. O. (1999) · Psychological Assessment · doi:10.1037/1040-3590.11.4.415 · Cited by 241 · see citing works
Feeling blue or turquoise? Emotional differentiation in major depressive disorder
Demiralp, E., Thompson, R. J., Mata, J., Jaeggi, S. M., Buschkuehl, M., Barrett, L. F., Ellsworth, P. C., Demiralp, M., Hernandez-Garcia, L., Deldin, P. J., et al. (2012) · Psychological Science · doi:10.1177/0956797612444903 · Cited by 205 · see citing works
Cohn, A. M., Hunter‐Reel, D., Hagman, B. T., & Mitchell, J. N. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01571.x · Cited by 194 · see citing works
Ambulatory Assessment: An Innovative and Promising Approach for Clinical Psychology
Ebner-Priemer, U. W., & Trull, T. J. (2009) · European Psychologist · doi:10.1027/1016-9040.14.2.109 · Cited by 173 · see citing works
Johansen, B., & Wedderkopp, N. (2010) · Chiropractic & Manual Therapies · doi:10.1186/1746-1340-18-10 · Cited by 139 · see citing works
The impact of momentary pain and fatigue on physical activity in women with osteoarthritis
Murphy, S. L., Smith, D. M., Clauw, D. J., & Alexander, N. B. (2008) · Arthritis Care & Research · doi:10.1002/art.23710 · Cited by 134 · see citing works
A real-time assessment of work stress in physicians and nurses.
Rutledge, T. R., Stucky, E. R., Dollarhide, A. W., Shively, M., Jain, S., Wolfson, T. J., Weinger, M. B., & Dresselhaus, T. R. (2009) · Health Psychology · doi:10.1037/a0013145 · Cited by 109 · see citing works
Using mobile phones to measure adolescent diabetes adherence.
Mulvaney, S. A., Rothman, R. L., Dietrich, M. S., Wallston, K. A., Grove, E., Elasy, T. A., & Johnson, K. B. (2011) · Health Psychology · doi:10.1037/a0025543 · Cited by 97 · see citing works
Noble, J. P., & Sawyer, R. (2002) · Cited by 92 · see citing works
Measurement reactivity in diary research.
Barta, W. D., Tennen, H. A., & Litt, M. D. (2012) · Cited by 86 · see citing works
Berkman, E. T., Dickenson, J. A., Falk, E. B., & Lieberman, M. D. (2011) · Health Psychology · doi:10.1037/a0022201 · Cited by 85 · see citing works
Coaching for Behavior Change in Physiatry
Frates, E. P., Moore, M. A., Lopez, C. N., & McMahon, G. T. (2011) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0b013e31822dea9a · Cited by 74 · see citing works
ohmage: An open Mobile System for Activity and Experience Sampling
Ramanathan, N., Alquaddoomi, F., Falaki, H., George, D., Hsieh, C.-K., Jenkins, J., Ketcham, C., Longstaff, B., Ooms, J. C. L., Selsky, J., et al. (2012) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.4108/icst.pervasivehealth.2012.248705 · Cited by 68 · see citing works
Ferguson, S. G., & Shiffman, S. S. (2010) · Substance Use & Misuse · doi:10.3109/10826084.2011.521399 · Cited by 61 · see citing works
Wichers, M., Hartmann, J. A., Kramer, I. M. A., Lothmann, C., Peeters, F., van Bemmel, L., Myin-Germeys, I., Delespaul, P., van Os, J., & Simons, C. J. P. (2011) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2011.01684.x · Cited by 56 · see citing works
Psychometric properties of a computerized mobile phone method for assessing mood in daily life
Courvoisier, D. S., Eid, M., Lischetzke, T., & Schreiber, W. H. (2010) · Emotion · doi:10.1037/a0017813 · Cited by 56 · see citing works
Badr, H., Laurenceau, J., Schart, L., Basen-Engquist, K. M., & Turk, D. C. (2010) · Pain · doi:10.1016/j.pain.2010.08.022 · Cited by 54 · see citing works
Situational Temptation for HIV Medication Adherence in High-Risk Youth
MacDonell, K. K., Naar‐King, S., Murphy, D. A., Parsons, J. T., & Huszti, H. C. (2010) · AIDS Patient Care and STDs · doi:10.1089/apc.2010.0172 · Cited by 33 · see citing works
Palm or Cell? Comparing Personal Digital Assistants and Cell Phones for Experience Sampling Research
Burgin, C. J., Silvia, P. J., Eddington, K. M., & Kwapil, T. R. (2012) · Social Science Computer Review · doi:10.1177/0894439312441577 · Cited by 31 · see citing works
Noble, J. P., & Sawyer, R. (2002) · PsycEXTRA Dataset · doi:10.1037/e427952008-001 · Cited by 29 · see citing works
Feasibility of a daily electronic survey to study prevention behavior with HIV‐infected individuals
Cook, P. F., McElwain, C. J., & Bradley‐Springer, L. A. (2010) · Research in Nursing & Health · doi:10.1002/nur.20381 · Cited by 27 · see citing works
Axén, I., Bodin, L., Kongsted, A., Wedderkopp, N., Jensen, I. B., & Bergström, G. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-105 · Cited by 23 · see citing works
Research In Brief: Using Mobile Phones to Collect Daily Experience Data From College Undergraduates
Ravert, R. D., Calix, S. I., & Sullivan, M. J. (2010) · Journal of college student development · doi:10.1353/csd.0.0134 · Cited by 20 · see citing works
The influence of communication situation on self-report in people who stutter
James, S., Brumfitt, S. M., & Cowell, P. E. (2009) · International Journal of Speech-Language Pathology · doi:10.1080/17549500802588179 · Cited by 12 · see citing works
Von Wilhelm Wundt, Grundriss der Psychologie
Stevenson, E. F. (1896) · Mind · doi:10.1093/mind/v.20.564 · Cited by 5 · see citing works
Flagged first, then by citations
1 of the 45 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Sung, Y.-T., Chang, K.-E., & Liu, T.-C. (2016) · Computers & Education · doi:10.1016/j.compedu.2015.11.008 · Cited by 1,574 · see citing works
Wearables and the Medical Revolution
Dunn, J., Runge, R., & Snyder, M. (2018) · Personalized Medicine · doi:10.2217/pme-2018-0044 · Cited by 654 · see citing works
Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence.
Harkin, B., Webb, T. L., Chang, B. P. I., Prestwich, A., Conner, M., Kellar, I., Benn, Y., & Sheeran, P. (2016) · Psychological Bulletin · doi:10.1037/bul0000025 · Cited by 564 · see citing works
Social media and depression symptoms: A network perspective.
Aalbers, G., McNally, R. J., Heeren, A., de Wit, S., & Fried, E. I. (2018) · Journal of Experimental Psychology General · doi:10.1037/xge0000528 · Cited by 330 · see citing works
Clinical Child and Family Psychology Review
(2013) · Clinical Child and Family Psychology Review · doi:10.1007/10567.1573-2827 · Cited by 267 · see citing works
Mobile-assisted ESL/EFL vocabulary learning: a systematic review and meta-analysis
Lin, J.-J., & Lin, H. (2019) · Computer Assisted Language Learning · doi:10.1080/09588221.2018.1541359 · Cited by 262 · see citing works
Belisario, J. S. M., Jamšek, J., Huckvale, K., O’Donoghue, J., Morrison, C. P., & Car, J. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.mr000042.pub2 · Cited by 216 · see citing works
The Design of Ecological Momentary Assessment Technologies
Doherty, K., Balaskas, A., & Doherty, G. J. (2020) · Interacting with Computers · doi:10.1093/iwcomp/iwaa019 · Cited by 187 · see citing works
Using e-technologies in clinical trials
Rosa, C., Campbell, A. N. C., Miele, G. M., Brunner, M., & Winstanley, E. L. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2015.07.007 · Cited by 147 · see citing works
Review of Smartphone Applications for the Treatment of Eating Disorders
Juarascio, A. S., Manasse, S. M., Goldstein, S. P., Forman, E. M., & Butryn, M. L. (2015) · European Eating Disorders Review · doi:10.1002/erv.2327 · Cited by 143 · see citing works
Yew, T. W., Chi, C., Chan, S.-Y., van Dam, R. M., Whitton, C., Lim, C. S., Foong, P. S., Fransisca, W., Teoh, C. L., Chen, J., et al. (2021) · Diabetes Care · doi:10.2337/dc20-1216 · Cited by 132 · see citing works
Users of the main smartphone operating systems (iOS, Android) differ only little in personality
Götz, F. M., Stieger, S., & Reips, U.-D. (2017) · PLOS ONE · doi:10.1371/journal.pone.0176921 · Cited by 127 · see citing works
Mobile Tele-Mental Health: Increasing Applications and a Move to Hybrid Models of Care
Chan, S., Torous, J., Hinton, L., & Yellowlees, P. (2014) · Healthcare · doi:10.3390/healthcare2020220 · Cited by 108 · see citing works
From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health
Berrouiguet, S., Perez-Rodriguez, M. M., Larsen, M., Baca-García, E., Courtet, P., & Oquendo, M. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.7412 · Cited by 102 · see citing works
Utilizing Smartphones to Study Disadvantaged and Hard-to-Reach Groups
Sugie, N. F. (2016) · Sociological Methods & Research · doi:10.1177/0049124115626176 · Cited by 99 · see citing works
Zhang, X., Shi, Y., Li, T., Guan, Y.-X., & Cui, X. (2023) · Information Systems Frontiers · doi:10.1007/s10796-023-10425-2 · Cited by 90 · see citing works
Bentley, K. H., Kleiman, E. M., Elliott, G., Huffman, J. C., & Nock, M. K. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.11.017 · Cited by 88 · see citing works
Virtues, ecological momentary assessment/intervention and smartphone technology
Runyan, J., & Steinke, E. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00481 · Cited by 89 · see citing works
Self-citationJuengst, S. B., Graham, K. M., Pulantara, I. W., McCue, M. P., Whyte, E. M., Dicianno, B. E., Parmanto, B., Arenth, P. M., Skidmore, E. R., & Wagner, A. K. (2015) · Brain Injury · doi:10.3109/02699052.2015.1045031 · Cited by 86 · see citing works
Use of Ecological Momentary Assessment and Intervention in Treatment With Adults
McDevitt‐Murphy, M. E., Luciano, M. T., & Zakarian, R. J. (2018) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.20180017 · Cited by 81 · see citing works
Zani, A., Lobbezoo, F., Bracci, A., Ahlberg, J., & Manfredini, D. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00169 · Cited by 83 · see citing works
Mundi, M. S., Lorentz, P. A., Grothe, K. B., Kellogg, T. A., & Collazo–Clavell, M. L. (2015) · Obesity Surgery · doi:10.1007/s11695-015-1617-7 · Cited by 81 · see citing works
Doherty, K., Barry, M., Marcano-Belisario, J., Arnaud, B., Morrison, C., Car, J., & Doherty, G. (2018) · JMIR Mental Health · doi:10.2196/10007 · Cited by 67 · see citing works
The Impact of Active Workstations on Workplace Productivity and Performance: A Systematic Review
Ojo, S. O., Bailey, D. P., Chater, A., & Hewson, D. J. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15030417 · Cited by 76 · see citing works
The relationship between smartphone use and students` academic performance
Sapci, O., Elhai, J. D., Amialchuk, A., & Montag, C. (2021) · Learning and Individual Differences · doi:10.1016/j.lindif.2021.102035 · Cited by 72 · see citing works
Colonna, A., Lombardo, L., Siciliani, G., Bracci, A., Guarda‐Nardini, L., Djukic, G., & Manfredini, D. (2019) · Clinical Oral Investigations · doi:10.1007/s00784-019-03098-2 · Cited by 66 · see citing works
Evaluation of a mobile mindfulness app distributed through on-line stores: A 4-week study
Chittaro, L., & Vianello, A. (2015) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2015.09.004 · Cited by 65 · see citing works
Parsons, T. D., & Duffield, T. C. (2020) · Journal of Medical Internet Research · doi:10.2196/23777 · Cited by 66 · see citing works
mHealth app for cannabis users: satisfaction and perceived usefulness
Monney, G., Penzenstadler, L., Dupraz, O., Etter, J.-F., & Khazaal, Y. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00120 · Cited by 60 · see citing works
Fischer, F., & Kleen, S. (2020) · Journal of Medical Internet Research · doi:10.2196/17691 · Cited by 55 · see citing works
Ashurst, J., van Woerden, I., Dunton, G. F., Todd, M. W., Ohri‐Vachaspati, P., Swan, P. D., & Bruening, M. M. (2018) · BMC Public Health · doi:10.1186/s12889-018-5447-0 · Cited by 56 · see citing works
Is a SIMPLe smartphone application capable of improving biological rhythms in bipolar disorder?
Hidalgo-Mazzei, D., Reinares, M., Mateu, A., Juruena, M. F., Young, A. H., Pérez-Sola, V., Vieta, E., & Colom, F. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.07.028 · Cited by 52 · see citing works
Colonna, A., Bracci, A., Ahlberg, J., Câmara‐Souza, M. B., Bucci, R., Conti, P. C. R., Dias, R., Emodi‐Perlman, A., Favero, R., Häggman‐Henrikson, B., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12051904 · Cited by 52 · see citing works
The role of mobile phone technology in understanding and preventing suicidal behavior
de Beurs, D., Kirtley, O., Kerkhof, A., Portzky, G., & O’Connor, R. C. (2015) · Crisis · doi:10.1027/0227-5910/a000316 · Cited by 47 · see citing works
A pilot study of a smartphone application supporting recovery from drug addiction
Liang, D., Han, H., Du, J., Zhao, M., & Hser, Y. (2018) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2018.02.006 · Cited by 47 · see citing works
García, M. G., Soto-Varela, R., Marchena, J. A. M., & del-Pino-Espejo, M.-J. (2020) · Sustainability · doi:10.3390/su12093724 · Cited by 44 · see citing works
Juengst, S. B., Terhorst, L. A., Nabasny, A., Wallace, T. D., Weaver, J., Osborne, C. L., Burns, S. P., Wright, B., Wen, P.-S., Kew, C. L., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18042173 · Cited by 43 · see citing works
Tarbell, S. E., Shaltout, H. A., Wagoner, A. L., Diz, D. I., & Fortunato, J. E. (2014) · Experimental Brain Research · doi:10.1007/s00221-014-3981-2 · Cited by 42 · see citing works
Smartphone delivery of a hope intervention: Another way to flourish
Daugherty, D. A., Runyan, J., Steenbergh, T., Fratzke, B. J., Fry, B. N., & Westra, E. A. J. (2018) · PLoS ONE · doi:10.1371/journal.pone.0197930 · Cited by 36 · see citing works
Self-citationFernández, M. D. P., Bron, G. M., Kache, P. A., Larson, S. R., Maus, A., Gustafson, D. H., Tsao, J. I., Bartholomay, L. C., Paskewitz, S. M., & Diuk‐Wasser, M. A. (2019) · JMIR mhealth and uhealth · doi:10.2196/14769 · Cited by 38 · see citing works
Al‐Alami, Z. M., Adwan, S., & Alsous, M. M. (2021) · Anatomical Sciences Education · doi:10.1002/ase.2165 · Cited by 39 · see citing works
Awake Bruxism—Single-Point Self-Report versus Ecological Momentary Assessment
Emodi‐Perlman, A., Manfredini, D., Shalev, T., Yevdayev, I., Friedman-Rubin, P., Bracci, A., Winocur-Arias, O., & Eli, I. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10081699 · Cited by 39 · see citing works
Bamberger, K. T. (2015) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-015-0194-6 · Cited by 39 · see citing works
Predictive modeling in e-mental health: A common language framework
Becker, D., van Breda, W., Funk, B., Hoogendoorn, M., Ruwaard, J., & Riper, H. M. (2018) · Internet Interventions · doi:10.1016/j.invent.2018.03.002 · Cited by 40 · see citing works
Dubord, M. G., Forest, J., Balčiūnaitė, L. M., Rauen, E., & Jungert, T. (2022) · Journal of Happiness Studies · doi:10.1007/s10902-022-00524-3 · Cited by 37 · see citing works
Developing a tailored substance use intervention for youth exiting foster care
Braciszewski, J. M., Tzilos Wernette, G. K., Moore, R. S., Tran, T. B., Bock, B. C., Stout, R. L., Chamberlain, P., & Vose-O’Neal, A. (2018) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2018.01.013 · Cited by 36 · see citing works
Surendran, S., Lim, C. S., Koh, G. C., Yew, T. W., Tai, E. S., & Foong, P. S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18126670 · Cited by 35 · see citing works
Kabir, K. S., Kenfield, S. A., Blarigan, E. L. V., Chan, J. M., & Wiese, J. (2022) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3534612 · Cited by 34 · see citing works
Application of ecological momentary assessment in workplace health evaluation
Engelen, L., Chau, J. Y., Burks‐Young, S., & Bauman, A. E. (2016) · Health Promotion Journal of Australia · doi:10.1071/he16043 · Cited by 33 · see citing works
Demirci, J. R., & Bogen, D. L. (2016) · Maternal and Child Nutrition · doi:10.1111/mcn.12342 · Cited by 33 · see citing works
Developing smartphone apps for behavioural studies: The AlcoRisk app case study
Smith, A. D. M., de Salas, K., Lewis, I. J., & Schüz, B. (2017) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2017.07.007 · Cited by 32 · see citing works
Context-Aware Delivery of Ecological Momentary Assessment
Aminikhanghahi, S., Schmitter‐Edgecombe, M., & Cook, D. J. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2937116 · Cited by 29 · see citing works
Smartphone use, flow and wellbeing: A case of Jekyll and Hyde
Lavoie, R. V., & Zheng, Y. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107442 · Cited by 30 · see citing works
Mayberry, L. S., Mulvaney, S. A., Johnson, K. B., & Osborn, C. Y. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816668374 · Cited by 29 · see citing works
Schreiber, M., & Jenny, G. J. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.109923 · Cited by 30 · see citing works
What Can Be Learned From Adolescent Time Diary Research
Hunt, E., & McKay, E. A. (2015) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2014.11.007 · Cited by 30 · see citing works
Ecological momentary assessment for rehabilitation of chronic illness and disability
McKeon, A. B., McCue, M. P., Skidmore, E. R., Schein, M. L., & Kulzer, J. L. (2017) · Disability and Rehabilitation · doi:10.1080/09638288.2017.1280545 · Cited by 27 · see citing works
A simple location-tracking app for psychological research
Geyer, K., Ellis, D. A., & Piwek, L. (2018) · Behavior Research Methods · doi:10.3758/s13428-018-1164-y · Cited by 29 · see citing works
Times Have Changed: Using a Pictorial Smartphone App to Collect Time–Use Data in Rural Zambia
Daum, T., Buchwald, H., Gerlicher, A. R. S., & Regina Birner, B. (2018) · Field Methods · doi:10.1177/1525822x18797303 · Cited by 29 · see citing works
Bernstein, E. E., Bentley, K. H., Nock, M. K., Stein, M. B., Beck, S., & Kleiman, E. M. (2021) · Behavior Therapy · doi:10.1016/j.beth.2021.09.001 · Cited by 29 · see citing works
Campbell, R., Soenens, B., Weinstein, N., & Vansteenkiste, M. (2018) · Mindfulness · doi:10.1007/s12671-017-0848-1 · Cited by 28 · see citing works
Porras‐Segovia, A., Díaz-Oliván, I., Barrigón, M. L., Moreno, M., Artés-Rodrı́guez, A., Pérez-Rodríguez, M. M., & Baca‐García, E. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.02.026 · Cited by 27 · see citing works
Hartson, K. R., Huntington‐Moskos, L., Sears, C. G., Genova, G., Mathis, C., Ford, W., & Rhodes, R. E. (2023) · Journal of Medical Internet Research · doi:10.2196/46783 · Cited by 26 · see citing works
Harrison, C. J., Trickett, R. W., Wormald, J. C. R., Dobbs, T. D., Lis, P., Popov, V., Beard, D. J., & Rodrigues, J. N. (2023) · Journal of Medical Internet Research · doi:10.2196/47179 · Cited by 25 · see citing works
Dubad, M., Elahi, F., & Marwaha, S. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.687270 · Cited by 25 · see citing works
Efficacy and acceptability of an “App on sick newborn care” in physicians from newborn units
Prakash, V., Thukral, A., Sankar, M. J., Agarwal, R. K., Paul, V. K., & Deorari, A. K. (2016) · BMC Medical Education · doi:10.1186/s12909-016-0579-3 · Cited by 24 · see citing works
Alderson‐Day, B., & Fernyhough, C. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00517 · Cited by 23 · see citing works
A Mobile Phone Application for the Collection of Opinion Data for Forest Planning Purposes
Kangas, A. S., Rasinmäki, J., Eyvindson, K., & Chambers, P. L. (2015) · Environmental Management · doi:10.1007/s00267-014-0438-0 · Cited by 23 · see citing works
Teaching empathic concern and altruism in the smartphone age
Fry, B. N., & Runyan, J. D. (2017) · Journal of Moral Education · doi:10.1080/03057240.2017.1374932 · Cited by 23 · see citing works
Self-citationPsychiatric Apps: Patient Self-Assessment, Communication, and Potential Treatment Interventions
Chan, S. R., Torous, J. B., Hinton, L., & Yellowlees, P. (2015) · Springer eBooks · doi:10.1007/978-3-319-20852-7_11 · Cited by 22 · see citing works
A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity
Poulton, A., Pan, J., Bruns, L., Sinnott, R., & Hester, R. (2018) · JMIR mhealth and uhealth · doi:10.2196/11157 · Cited by 22 · see citing works
Duncan, D. T., Park, S. H., Goedel, W. C., Sheehan, D. M., Regan, S. D., & Chaix, B. (2019) · PLoS ONE · doi:10.1371/journal.pone.0210240 · Cited by 22 · see citing works
Quantifying the Time Used for Renal Dietitian's Responsibilities: A Pilot Study
Hand, R. K., Albert, J. M., & Sehgal, A. R. (2019) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2018.11.007 · Cited by 22 · see citing works
Berrouiguet, S., Barrigón, M. L., Brandt, S. A., Ovejero, S., Álvarez-García, R., Carballo, J. J., Lenca, P., Courtet, P., MEmind Study Group, & Baca‐García, E. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163796 · Cited by 22 · see citing works
Engelen, L., & Held, F. P. (2019) · Buildings · doi:10.3390/buildings9020054 · Cited by 22 · see citing works
Parsons, T. D., & Duffield, T. C. (2019) · The Clinical Neuropsychologist · doi:10.1080/13854046.2018.1523465 · Cited by 22 · see citing works
O’Reilly-Shah, V. N., & Mackey, S. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5397 · Cited by 21 · see citing works
Simpson, E. L., Garbett, A., Comber, R., & Balaam, M. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-011762 · Cited by 21 · see citing works
Acorda, D. E., Businelle, M. S., & Maria, D. S. (2021) · JMIR Formative Research · doi:10.2196/21638 · Cited by 20 · see citing works
A Scoping Review of Methods Used to Assess Medication Adherence in Patients with Chronic Conditions
Konstantinou, P., Kasinopoulos, O., Karashiali, C., Georgiou, G., Panayides, A. S., Papageorgiou, A., Wozniak, G., Kassianos, A. P., & Karekla, M. (2021) · Annals of Behavioral Medicine · doi:10.1093/abm/kaab080 · Cited by 24 · see citing works
Ainsworth, M. C., Pekmezi, D., Bowles, H., Ehlers, D., McAuley, E., Courneya, K. S., & Rogers, L. Q. (2018) · JMIR Cancer · doi:10.2196/cancer.8951 · Cited by 18 · see citing works
Campbell, R., Vansteenkiste, M., Delesie, L. M., Tobback, E., Mariman, A., Vogelaers, D., & Mouratidis, A. A. (2018) · Health Psychology · doi:10.1037/hea0000621 · Cited by 20 · see citing works
Kache, P. A., Bron, G. M., Zapata-Ramirez, S., Tsao, J. I., Bartholomay, L. C., Paskewitz, S. M., Diuk‐Wasser, M. A., & Fernández, M. D. P. (2023) · Ticks and Tick-borne Diseases · doi:10.1016/j.ttbdis.2023.102163 · Cited by 19 · see citing works
Positive Technology: Using Mobile Phones for Psychosocial Interventions
Konrath, S. (2015) · IGI Global eBooks · doi:10.4018/978-1-4666-8239-9.ch072 · Cited by 18 · see citing works
Tasian, G. E., Ross, M., Song, L., Audrain-McGovern, J. E., Wiebe, D. J., Warner, S. G., Henderson, B. R., Patel, A. I., & Furth, S. L. (2018) · The Journal of Urology · doi:10.1016/j.juro.2018.07.064 · Cited by 18 · see citing works
Bryan, A. C., Heinz, M. V., Salzhauer, A. J., Price, G. D., Tlachac, M., & Jacobson, N. C. (2024) · Biomedical Materials & Devices · doi:10.1007/s44174-023-00150-4 · Cited by 20 · see citing works
Insights: Anwendungsmöglichkeiten von passivem Smartphone-Tracking im therapeutischen Kontext
Meßner, E.-M., Sariyska, R., Mayer, B., Montag, C., Kannen, C., Schwerdtfeger, A. R., & Baumeister, H. (2019) · Verhaltenstherapie · doi:10.1159/000501735 · Cited by 19 · see citing works
Insights – future implications of passive smartphone sensing in the therapeutic context
Messner, E.-M., Sariyska, R., Mayer, B., Montag, C., Kannen, C., Schwerdtfeger, A., & Baumeister, H. (2022) · Verhaltenstherapie · doi:10.1159/000501951 · Cited by 17 · see citing works
Müller, L., Gossmann, K., Schmid, R., Rosner, R., & Unterhitzenberger, J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246069 · Cited by 15 · see citing works
Active recall strategies associated with academic achievement in young adults: A systematic review
Xu, J. H., Wu, A., Filip, C., Patel, Z., Bernstein, S. R., Tanveer, R., Syed, H., & Kotroczo, T. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.03.010 · Cited by 16 · see citing works
Methodische Aspekte der Stressforschung
Kasten, N., & Fuchs, R. (2017) · Springer eBooks · doi:10.1007/978-3-662-49322-9_7 · Cited by 15 · see citing works
Hand, R. K., & Perzynski, A. T. (2016) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2016.05.004 · Cited by 15 · see citing works
Matt, L. M., Seah, T. H. S., & Coifman, K. G. (2024) · PLoS ONE · doi:10.1371/journal.pone.0299540 · Cited by 12 · see citing works
DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling
Busso, M., Bontempelli, A., Malcotti, L. J., Meegahapola, L., Kun, P., Diwakar, S., Nutakki, C. S., Britez, M. D. R., Xu, H., Song, D., et al. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3712289 · Cited by 14 · see citing works
Tool support for the online annotation of sensor data
Schröder, M., Yordanova, K., Bader, S., & Kirste, T. (2016) · International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR) · doi:10.1145/2948963.2948972 · Cited by 12 · see citing works
Protestant Millennials, Religious Doubt, & the Local Church
Puffer, K. A. (2017) · Religions · doi:10.3390/rel9010008 · Cited by 12 · see citing works
Batalas, N., Rot, M. A. H., Khan, V.-J., & Markopoulos, P. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3179428 · Cited by 12 · see citing works
Ojo, S. O., Bailey, D. P., Chater, A., & Hewson, D. J. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.832374 · Cited by 9 · see citing works
Gerber, M. (2019) · Springer eBooks · doi:10.1007/978-3-662-56802-6_25 · Cited by 9 · see citing works
Li, Y., Williams, L., Muth, C., Heshmati, S., Chow, S.-M., & Oravecz, Z. (2024) · Structural equation modeling : a multidisciplinary journal · doi:10.1080/10705511.2024.2402328 · Cited by 6 · see citing works
- Authors
- Runyan, J. D., Steenbergh, T. A., Bainbridge, C., Daugherty, D. A., Oke, L., & Fry, B. N.
- Affiliations
- Indiana Wesleyan University (US)
- Corresponding author
- Runyan, Jason D.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-08-14
- Volume
- 8
- Issue
- 8
- Pages
- e71325
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3743745
- OpenAlex
- W2133044419
- Cited by
- 179
- References
- 45
- Citations by year
- 2026: 6 · 2025: 14 · 2024: 9 · 2023: 12 · 2022: 12 · 2021: 19 · 2020: 13 · 2019: 15 · 2018: 25 · 2017: 12 · 2016: 15 · 2015: 21 · 2014: 5 · 2013: 1
- FWCI
- 18.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Eli Lilly and Company
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- ecological momentary assessment, ecological momentary intervention, mobile application, self-awareness, time use, within-person variability, GPA prediction, time waste, mobile health
- MeSH terms
- Adolescent, Awareness, Data Collection, Female, Humans, Male, Surveys and Questionnaires, Self-Assessment, Space Perception, Task Performance and Analysis, Time Perception, Time Management, Cell Phone, Young Adult, Mobile Applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review