The DOI matches its Crossref record; 112 of the 115 references it cites were found in a registry or an index, and 3 are not checked yet.
Engagement in digital interventions.
Open accessAbstract
The notion of "engagement," which plays an important role in various domains of psychology, is gaining increased currency as a concept that is critical to the success of digital interventions. However, engagement remains an ill-defined construct, with different fields generating their own domain-specific definitions. Moreover, given that digital interactions in real-world settings are characterized by multiple demands and choice alternatives competing for an individual's effort and attention, they involve fast and often impulsive decision-making. Prior research seeking to uncover the mechanisms underlying engagement has nonetheless focused mainly on psychological factors and social influences and neglected to account for the role of neural mechanisms that shape individual choices. This article aims to integrate theories and empirical evidence across multiple domains to define engagement and discuss opportunities and challenges to promote effective engagement in digital interventions. We also propose the affect-integration-motivation and attention-context-translation (AIM-ACT) framework, which is based on a neurophysiological account of engagement, to shed new light on how in-the-moment engagement unfolds in response to a digital stimulus. Building on this framework, we provide recommendations for designing strategies to promote engagement in digital interventions and highlight directions for future research. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“engagement with the digital content is designed to facilitate completion of a concurrent nondigital target behavior that is metacognitive in nature (eg, an experiential mindfulness exercise) [11]”
From Experiences of Using Digital Mindfulness-Based Interventions: Rapid Scoping Review and Thematic Synthesis (2023) · cites this paper as [11]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Our findings suggest that certain factors that contribute to engagement with digital content in mobile and web-based interventions more generally may also apply to interventions for which engagement with the digital content is designed to facilitate completion of a nondigital target behavior (eg, an experiential mindfulness exercise) [11].”
From Experiences of Using Digital Mindfulness-Based Interventions: Rapid Scoping Review and Thematic Synthesis (2023) · cites this paper as [11]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ryan, R. M., & Deci, E. L. (2000) · American Psychologist · doi:10.1037//0003-066x.55.1.68 · Cited by 54,599
Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions
Ryan, R. M., & Deci, E. L. (2000) · Contemporary Educational Psychology · doi:10.1006/ceps.1999.1020 · Cited by 18,666
The measurement of engagement and burnout: a two sample confirmatory factor analytic approach.
Schaufeli, W. B., Salanova, M., González-romá, V., & Bakker, A. B. (2002) · Journal of Happiness Studies · doi:10.1023/a:1015630930326 · Cited by 10,014
Moral Identity and Developmental Theory
Lapsley, D. K. (2015) · Human Development · doi:10.1159/000435926 · Cited by 3,843
May, D. R., Gilson, R. L., & Harter, L. M. (2004) · Journal of Occupational and Organizational Psychology · doi:10.1348/096317904322915892 · Cited by 3,483
CHRISTIAN, M. S., GARZA, A. S., & SLAUGHTER, J. E. (2011) · Personnel Psychology · doi:10.1111/j.1744-6570.2010.01203.x · Cited by 2,903
Goldstein, R. Z., & Volkow, N. D. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.10.1642 · Cited by 2,667
NEURAL MECHANISMS OF ADDICTION: The Role of Reward-Related Learning and Memory
Hyman, S. E., Malenka, R. C., & Nestler, E. J. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113009 · Cited by 2,647
Habituation: a model phenomenon for the study of neuronal substrates of behavior
Thompson, R. F., & Spencer, W. A. (1966) · Psychological Review · doi:10.1037/h0022681 · Cited by 2,608
Eysenbach, G. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.1.e11 · Cited by 2,524
Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework
Dehaene, S. (2001) · Cognition · doi:10.1016/s0010-0277(00)00123-2 · Cited by 2,498
Csíkszentmihályi, M., & Csikszentmihalyi, I. S. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511621956 · Cited by 2,363
Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9830-8 · Cited by 2,171
Self-citationCustomer engagement: exploring customer relationships beyond purchase.
Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679200201 · Cited by 2,089
Tufford (2017) · doi:10.1007/s · Cited by 2,003
Bartra, O., McGuire, J. T., & Kable, J. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.063 · Cited by 1,927
Addiction Is a Brain Disease, and It Matters
Leshner, A. I. (1997) · Science · doi:10.1126/science.278.5335.45 · Cited by 1,615
O’Neill, S. J., & Nicholson-Cole, S. A. (2009) · Science Communication · doi:10.1177/1075547008329201 · Cited by 1,482
What is user engagement? A conceptual framework for defining user engagement with technology
O'Brien, H. L., & Toms, E. G. (2008) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20801 · Cited by 1,397
The root of all value: a neural common currency for choice
Levy, D. J., & Glimcher, P. W. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.06.001 · Cited by 1,342
Perski, O., Blandford, A., West, R., & Michie, S. (2017) · Translational Behavioral Medicine · doi:10.1007/s13142-016-0453-1 · Cited by 1,193
Neural Predictors of Purchases
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., & Loewenstein, G. (2007) · Neuron · doi:10.1016/j.neuron.2006.11.010 · Cited by 1,171
Health Message Framing Effects on Attitudes, Intentions, and Behavior: A Meta-analytic Review
Gallagher, K. M., & Updegraff, J. A. (2011) · Annals of Behavioral Medicine · doi:10.1007/s12160-011-9308-7 · Cited by 1,156
Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions
Yardley, L., Spring, B. J., Riper, H., Morrison, L. G., Crane, D. H., Curtis, K., Merchant, G. C., Naughton, F., & Blandford, A. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.06.015 · Cited by 1,118
Students’ engagement in first‐year university
Krause, K., & Coates, H. (2008) · Assessment & Evaluation in Higher Education · doi:10.1080/02602930701698892 · Cited by 1,075
Eye tracking of attention in the affective disorders: a meta-analytic review and synthesis
Armstrong, T., & Olatunji, B. O. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.09.004 · Cited by 1,049
Geurts, S. A. E., & Sonnentag, S. (2006) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.1053 · Cited by 970
Human fronto–mesolimbic networks guide decisions about charitable donation
Moll, J., Krueger, F., Zahn, R., Pardini, M., de Oliveira-Souza, R., & Grafman, J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604475103 · Cited by 900
Neural differentiation of expected reward and risk in human subcortical structures
Preuschoff, K., Bossaerts, P., & Quartz, S. R. (2006) · Neuron · doi:10.1016/j.neuron.2006.06.024 · Cited by 692
Instrumental Responding following Reinforcer Devaluation
Adams, C. D., & Dickinson, A. (1981) · The Quarterly Journal of Experimental Psychology Section B · doi:10.1080/14640748108400816 · Cited by 687
Gillison, F., Rouse, P. C., Standage, M., Sebire, S. J., & Ryan, R. M. (2018) · Health Psychology Review · doi:10.1080/17437199.2018.1534071 · Cited by 604
Greven, C. U., Lionetti, F., Booth, C., Aron, E. N., Fox, E., Schendan, H. E., Pluess, M., Bruining, H., Acevedo, B. P., Bijttebier, P., et al. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.01.009 · Cited by 586
Exploring positively- versus negatively-valenced brand engagement: a conceptual model
Hollebeek, L. D., & Chen, T. (2014) · Journal of Product & Brand Management · doi:10.1108/jpbm-06-2013-0332 · Cited by 584
Linardon, J., & Fuller-Tyszkiewicz, M. (2020) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000459 · Cited by 573
Customer engagement in social media: a framework and meta-analysis
de Oliveira Santini, F., Ladeira, W. J., Pinto, D. C., Herter, M. M., Sampaio, C. H., & Babin, B. J. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00731-5 · Cited by 523
The Relationship Between Student Engagement and Academic Performance: Is It a Myth or Reality?
Lee, J. (2013) · The Journal of Educational Research · doi:10.1080/00220671.2013.807491 · Cited by 502
Patient involvement in patient safety: what factors influence patient participation and engagement?
Davis, R. E., Jacklin, R., Sevdalis, N., & Vincent, C. A. (2007) · Health Expectations · doi:10.1111/j.1369-7625.2007.00450.x · Cited by 432
Pratap, A., Neto, E. C., Snyder, P., Stepnowsky, C., Elhadad, N., Grant, D., Mohebbi, M. H., Mooney, S., Suver, C., Wilbanks, J., et al. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0224-8 · Cited by 410
Digital interventions for the treatment of depression: a meta-analytic review
Moshe, I., Terhorst, Y., Philippi, P., Domhardt, M., Cuijpers, P., Cristea, I., Pulkki-Råback, L., Baumeister, H., & Sander, L. B. (2021) · Psychological Bulletin · doi:10.1037/bul0000334 · Cited by 390
Neural basis of the undermining effect of monetary reward on intrinsic motivation
Murayama, K., Matsumoto, M., Izuma, K., & Matsumoto, K. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1013305107 · Cited by 365
Decision making in the ageing brain: changes in affective and motivational circuits
Samanez-Larkin, G. R., & Knutson, B. D. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3917 · Cited by 356
Murayama, K. (2022) · Psychological Review · doi:10.1037/rev0000349 · Cited by 350
Clowes, J. A., Peel, N. F. A., & Eastell, R. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030501 · Cited by 334
Monetary incentives increase COVID-19 vaccinations
Campos-Mercade, P., Meier, A. N., Schneider, F. H., Meier, S., Pope, D., & Wengström, E. (2021) · Science · doi:10.1126/science.abm0475 · Cited by 306
Doherty, K., & Doherty, G. J. (2018) · ACM Computing Surveys · doi:10.1145/3234149 · Cited by 299
The impact of self-affirmation on health-behavior change: A meta-analysis
Epton, T., Harris, P. R., Kane, R., van Koningsbruggen, G. M., & Sheeran, P. (2015) · Health Psychology · doi:10.1037/hea0000116 · Cited by 277
Torok, M., Han, J., Baker, S., Werner-Seidler, A., Wong, I., Larsen, M. E., & Christensen, H. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30199-2 · Cited by 273
Changing personality traits with the help of a digital personality change intervention
Stieger, M., Flückiger, C., Rüegger, D., Kowatsch, T., Roberts, B. W., & Allemand, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2017548118 · Cited by 273
Li, X., Chan, K. W., & Kim, S. (2018) · Journal of Consumer Research · doi:10.1093/jcr/ucy016 · Cited by 271
Neural substrates of cue reactivity: association with treatment outcomes and relapse
Courtney, K. E., Schacht, J. P., Hutchison, K. E., Roche, D. J. O., & Ray, L. A. (2015) · Addiction Biology · doi:10.1111/adb.12314 · Cited by 256
Personalization in Email Marketing: The Role of Noninformative Advertising Content
Sahni, N. S., Wheeler, S. C., & Chintagunta, P. (2018) · Marketing Science · doi:10.1287/mksc.2017.1066 · Cited by 244
Neuroimaging studies of attention and the processing of emotion-laden stimuli
Pessoa, L., & Ungerleider, L. G. (2004) · Progress in brain research · doi:10.1016/s0079-6123(03)14412-3 · Cited by 242
Implementation strategies for digital mental health interventions in health care settings.
Graham, A. K., Lattie, E. G., Powell, B. J., Lyon, A. R., Smith, J. D., Schueller, S. M., Stadnick, N. A., Brown, C. H., & Mohr, D. C. (2020) · American Psychologist · doi:10.1037/amp0000686 · Cited by 236
Daily Fluctuations in Work Engagement: An Overview and Current Directions
Bakker, A. B. (2014) · European Psychologist · doi:10.1027/1016-9040/a000160 · Cited by 232
Wang, L., Law, K. S., Zhang, M. J., Li, N., & Liang, Y. (2018) · Journal of Applied Psychology · doi:10.1037/apl0000337 · Cited by 210
Child and parent engagement in the mental health intervention process: a motivational framework
King, G. A., Currie, M. L., & Petersen, P. (2012) · Child and Adolescent Mental Health · doi:10.1111/camh.12015 · Cited by 206
Bakker, A. B., & van Wingerden, J. (2020) · Journal of Occupational Health Psychology · doi:10.1037/ocp0000266 · Cited by 194
Scaling evidence-based treatments through digital mental health.
Schueller, S. M., & Torous, J. B. (2020) · American Psychologist · doi:10.1037/amp0000654 · Cited by 191
Self-affirmation alters the brain’s response to health messages and subsequent behavior change.
Falk, E. B., O’Donnell, M. B., Cascio, C. N., Tinney, F., Kang, Y., Lieberman, M. D., Taylor, S. E., An, L., Resnicow, K., & Strecher, V. J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1500247112 · Cited by 190
Donald, J. N., Bradshaw, E. L., Ryan, R. M., Basarkod, G., Ciarrochi, J., Duineveld, J. J., Guo, J., & Sahdra, B. K. (2020) · Personality and Social Psychology Bulletin · doi:10.1177/0146167219896136 · Cited by 182
An Integrated Review of Emoticons in Computer-Mediated Communication
Aldunate, N., & González‐Ibáñez, R. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.02061 · Cited by 173
Bissonnette, J. M. (2008) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2008.04745.x · Cited by 172
Morrison, L. G., Hargood, C., Pejovic, V., Geraghty, A. W. A., Lloyd, S., Goodman, N., Michaelides, D. T., Weston, A., Musolesi, M., Weal, M. J., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169162 · Cited by 162
Neural Affective Mechanisms Predict Market-Level Microlending
Genevsky, A., & Knutson, B. D. (2015) · Psychological Science · doi:10.1177/0956797615588467 · Cited by 156
Resnicow, K., Davis, R. E., Zhang, G., Konkel, J., Strecher, V. J., Shaikh, A. R., Tolsma, D., Calvi, J., Alexander, G., Anderson, J. P., et al. (2008) · Annals of Behavioral Medicine · doi:10.1007/s12160-008-9028-9 · Cited by 155
Muench, F. J., & Baumel, A. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7463 · Cited by 148
The Meaning and Bleeding of Employee Engagement: How Muddy Is the Water?
Saks, A. M. (2008) · Industrial and Organizational Psychology · doi:10.1111/j.1754-9434.2007.00005.x · Cited by 147
Inferring affect from fMRI data
Knutson, B. D., Katovich, K., & Suri, G. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.04.006 · Cited by 135
Engaged in Engagement: We Are Delighted We Did It
Macey, W. H., & Schneider, B. (2008) · Industrial and Organizational Psychology · doi:10.1111/j.1754-9434.2007.00016.x · Cited by 125
When Brain Beats Behavior: Neuroforecasting Crowdfunding Outcomes
Genevsky, A., Yoon, C., & Knutson, B. D. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1633-16.2017 · Cited by 122
Self-citationSchmitt, J. B., Breuer, J., & Wulf, T. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106899 · Cited by 122
Qian, T., Walton, A. E., Collins, L. M., Klasnja, P., Lanza, S. T., Nahum-Shani, I. B., Rabbi, M., Russell, M. A., Walton, M. A., Yoo, H., et al. (2022) · Psychological Methods · doi:10.1037/met0000283 · Cited by 119
Self-citationDigital Health and Engagement—Looking Behind the Measures and Methods
Torous, J. B., Michalak, E. E., & O'Brien, H. L. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.10918 · Cited by 114
Yuan, Z., Ye, Z., & Zhong, M. (2020) · Journal of Applied Psychology · doi:10.1037/apl0000860 · Cited by 114
Chien, I., Enrique, A., Palacios, J., Regan, T., Keegan, D., Carter, D., Tschiatschek, S., Nori, A., Thieme, A., Richards, D., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.10791 · Cited by 111
Neuroforecasting Aggregate Choice
Knutson, B. D., & Genevsky, A. (2018) · Current Directions in Psychological Science · doi:10.1177/0963721417737877 · Cited by 104
Taking engagement to task: The nature and functioning of task engagement across transitions.
Newton, D. W., LePine, J. A., Kim, J. K., Wellman, N. M., & Bush, J. T. (2019) · Journal of Applied Psychology · doi:10.1037/apl0000428 · Cited by 97
Defining Employee Engagement for Productive Research and Practice
Dalal, R. S., Brummel, B. J., Wee, S., & Thomas, L. L. (2008) · Industrial and Organizational Psychology · doi:10.1111/j.1754-9434.2007.00008.x · Cited by 94
Exploring the State-of-Receptivity for mHealth Interventions
Künzler, F., Mishra, V., Kramer, J.-N., Kotz, D. F., Fleisch, E., & Kowatsch, T. (2019) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3369805 · Cited by 87
Humans judge, algorithms nudge: The psychology of behavior tracking acceptance
Raveendhran, R., & Fast, N. J. (2021) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2021.01.001 · Cited by 86
The Aristotelian conception of habit and its contribution to human neuroscience
Bernácer, J., & Murillo, J. I. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00883 · Cited by 84
Ding, N., Pan, X., Luo, C., Su, N., Zhang, W., & Zhang, J. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2606-17.2017 · Cited by 78
English, T., & Carstensen, L. L. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00185 · Cited by 77
Yu, N., & Shen, F. (2012) · Health Communication · doi:10.1080/10410236.2012.662147 · Cited by 76
Ebert, D. D., Harrer, M., Apolinário-Hagen, J., & Baumeister, H. (2019) · Advances in Experimental Medicine and Biology · doi:10.1007/978-981-32-9721-0_29 · Cited by 76
Multi-Stage Receptivity Model for Mobile Just-In-Time Health Intervention
Choi, W., Park, S., Kim, D., Lim, Y.-K., & Lee, U. (2019) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3328910 · Cited by 71
Mollen, S., Engelen, S., Kessels, L. T. E., & van den Putte, B. (2016) · Journal of Health Communication · doi:10.1080/10810730.2016.1247484 · Cited by 70
An empirical study of interest, task complexity, and search behaviour on user engagement
O'Brien, H. L., Arguello, J., & Capra, R. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2020.102226 · Cited by 68
Newby, K. V., Teah, G. E., Cooke, R. W. I., Li, X., Brown, K., Salisbury-Finch, B., Kwah, K., Bartle, N. C., Curtis, K., Fulton, E. A., et al. (2019) · Health Psychology Review · doi:10.1080/17437199.2019.1705873 · Cited by 66
Association of Neural Responses to Drug Cues With Subsequent Relapse to Stimulant Use
MacNiven, K. H., Jensen, E. L. S., Borg, N., Padula, C. B., Humphreys, K. N., & Knutson, B. D. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.6466 · Cited by 63
Brain activity forecasts video engagement in an internet attention market
Tong, L., Acikalin, M. Y., Genevsky, A., Shiv, B., & Knutson, B. D. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1905178117 · Cited by 63
Rotgans, J. I., Schmidt, H. G., Rajalingam, P., Hao, J. W. Y., Canning, C. A., Ferenczi, M. A., & Low‐Beer, N. (2017) · Advances in Health Sciences Education · doi:10.1007/s10459-017-9801-2 · Cited by 59
Challenging the “static” quo: Trajectories of engagement in team processes toward a deadline.
Larson, N., McLarnon, M. J. W., & O’Neill, T. (2020) · Journal of Applied Psychology · doi:10.1037/apl0000479 · Cited by 54
Push Notifications in Diet Apps: Influencing Engagement Times and Tasks
Freyne, J., Yin, J., Brindal, E., Hendrie, G. A., Berkovsky, S., & Noakes, M. (2017) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2017.1289725 · Cited by 53
Rabbi, M., Philyaw-Kotov, M. L., Cunningham, R. M., Bonar, E. E., Nahum-Shani, I. B., Klasnja, P., Walton, M. A., & Murphy, S. A. (2018) · JMIR Research Protocols · doi:10.2196/resprot.9850 · Cited by 48
Self-citationKilday, J. E., & Ryan, A. M. (2019) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2019.03.006 · Cited by 48
Eppler, M. J., & Mengis, J. (2004) · The Information Society · doi:10.1080/01972240490507974 · Cited by 44
Nahum-Shani, I., Rabbi, M., Yap, J., Philyaw-Kotov, M. L., Klasnja, P., Bonar, E. E., Cunningham, R. M., Murphy, S. A., & Walton, M. A. (2021) · Health Psychology · doi:10.1037/hea0001101 · Cited by 41
Self-citationFamily-school engagement across child and adolescent development.
Reinke, W. M., Smith, T. E., & Herman, K. C. (2019) · School Psychology · doi:10.1037/spq0000322 · Cited by 40
Genes, psychological traits and civic engagement
Dawes, C. T., Settle, J. E., Loewen, P. J., McGue, M. K., & Iacono, W. G. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0015 · Cited by 37
Dempsey, W., Liao, P., Kumar, S., & Murphy, S. A. (2020) · The Annals of Applied Statistics · doi:10.1214/19-aoas1293 · Cited by 37
Self-citationEpisodic Demands, Resources, and Engagement
Reina-Tamayo, A. M., Bakker, A. B., & Derks, D. (2017) · Journal of Personnel Psychology · doi:10.1027/1866-5888/a000177 · Cited by 37
Müller, B. C. N., Ritter, S. M., Glock, S., Dijksterhuis, A., Engels, R. C. M. E., & van Baaren, R. B. (2014) · Journal of Health Psychology · doi:10.1177/1359105314522083 · Cited by 35
Beyond emotional similarity: The role of situation-specific motives.
Goldenberg, A., García, D., Halperin, E., Zaki, J., Kong, D., Golarai, G., & Gross, J. J. (2019) · Journal of Experimental Psychology General · doi:10.1037/xge0000625 · Cited by 35
Koch, E. D., Moukhtarian, T. R., Skirrow, C., Bozhilova, N. S., Asherson, P. J., & Ebner‐Priemer, U. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.06.002 · Cited by 34
A process-oriented approach to respecting privacy in the context of mobile phone tracking
Harari, G. M. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.09.007 · Cited by 33
Georgeson, A. R., Highlander, A., Loiselle, R., Zachary, C., & Jones, D. J. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101858 · Cited by 29
Patient Engagement During Medical Visits and Smoking Cessation Counseling
Cunningham, P. J. (2014) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.2170 · Cited by 25
The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol
Nahum-Shani, I., Potter, L. N., Lam, C. Y., Yap, J., Moreno, A., Stoffel, R., Wu, Z., Wan, N., Dempsey, W., Kumar, S., et al. (2021) · Contemporary Clinical Trials · doi:10.1016/j.cct.2021.106513 · Cited by 23
Self-citationStuder, B., & Knecht, S. (2016) · Progress in brain research · doi:10.1016/bs.pbr.2016.07.001 · Cited by 13
It is all relative: Contextual influences on boredom and neural correlates of regulatory processes
Perone, S., Anderson, A. J., & Weybright, E. H. (2020) · Psychophysiology · doi:10.1111/psyp.13746 · Cited by 13
Multidimensional structure and measurement invariance of school engagement
Lee, S. (2021) · Journal of School Psychology · doi:10.1016/j.jsp.2021.09.001 · Cited by 13
Murayama, K. (2019) · doi:10.31219/osf.io/zey4k · Cited by 12
Rao, R. P. N. (2005) · Encyclopedia of Cognitive Science · doi:10.1002/0470018860.s00370 · Cited by 1
Research works printed but not linked: 41
- Ashforth BE, & Mael F (1989). Social Identity Theory and the Organization. The Academy of Management Review, 14(1), 20– 39. https://about.jstor.org/terms
- Bowden JL-H, Tickle L, & Naumann K (2021). The four pillars of tertiary student engagement and success: a holistic measurement approach. Studies in Higher Education, 46(6), 1207– 1224.
- Costa Figueiredo M, Caldeira C, Eikey EV, Mazmanian M, & Chen Y (2018). Engaging with health data: The interplay between self-tracking activities and emotions in fertility struggles. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 1– 20.
- Csikszentmihalyi M (2020). Finding flow: The psychology of engagement with everyday life University Press.
- Do DKX, Rahman K, & Robinson LJ (2019). Determinants of negative customer engagement behaviours. Journal of Services Marketing, 34(2), 117– 135.
- Frank FD, Finnegan RP, & Taylor CR (2004). The race for talent: Retaining and engaging workers in the 21st century. Human Resource Planning, 27(3), 12– 25.
- Hicks J (2018). Exploring the relationship between awe and leisure: A conceptual argument. Journal of Leisure Research, 49(3–5), 258– 276.
- Hitlin S, & Elder GH Jr (2007). Time, self, and the curiously abstract concept of agency. Sociological theory, 25(2), 170– 191.
- Hu S, & Kuh GD (2002). Being (dis) engaged in educationally purposeful activities: The influences of student and institutional characteristics. Research in Higher Education, 43(5), 555– 575.
- Kahn WA (1990). Psychological Conditions of Personal Engagement and Disengagement at Work. The Academy of Management Journal, 33(4), 692– 724. https://about.jstor.org/terms
- Kahn WA (1992). To be fully there: Psychological presence at work. Human Relations, 45(4), 321– 349.
- Kanungo RN (1982). Measurement of job and work involvement. Journal of Applied Psychology, 67, 341– 349.
- Levitin DJ (2014). The organized mind: Thinking straight in the age of information overload Penguin.
- Lievonen M, Luoma-aho V, & Bowden J (2018). Negative engagement. In Johnston K & Taylor M (Eds.), The handbook of communication engagement (pp. 531– 548).
- Mai R, Hoffmann S, & Balderjahn I (2021). When drivers become inhibitors of organic consumption: the need for a multistage view. Journal of the Academy of Marketing Science, 49(6), 1151– 1174.
- Mirbagheri S, & Najmi M (2019). Consumers’ engagement with social media activation campaigns: Construct conceptualization and scale development. Psychology & Marketing, 36(4), 376– 394.
- Moody GD, Galletta DF, & Lowry PB (2014). When trust and distrust collide online: The engenderment and role of consumer ambivalence in online consumer behavior. Electronic Commerce Research and Applications, 13(4), 266– 282.
- Morgan RM, & Hunt SD (1994). The Commitment-Trust Theory of Relationship Marketing. Journal of marketing, 58, 20– 38.
- Pansari A, & Kumar V (2017). Customer engagement: The construct, antecedents, and consequences. Journal of the Academy of Marketing Science, 45(3), 294– 311.
- Pejovic V, & Musolesi M (2014, September). InterruptMe: Designing intelligent prompting mechanisms for pervasive applications Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
- Pham XL, Nguyen TH, Hwang WY, & Chen GD (2016). Effects of push notifications on learner engagement in a mobile learning app 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT),
- Pielot M (2014). Large-scale evaluation of call-availability prediction UbiComp ‘14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing,
- Quinn RW, & Dutton JE (2005). Coordination as Energy-in-Conversation. Academy of management review, 30(1), 36– 57. https://www.jstor.org/stable/20159094?seq=1&cid=pdf-
- Rich BL, Lepine JA, & Crawford ER (2010). Job engagement: Antecedents and effects on job performance. The Academy of Management Journal, 53(3), 617– 635. https://about.jstor.org/terms
- Richman A (2006). Everyone wants an engaged workforce. How can you create it? Workspan, 49(1), 36– 39.
- Rigby CS, Deci EL, Patrick BC, & Ryan RM (1992). Beyond the intrinsic-extrinsic dichotomy: Self-determination in motivation and learning. Motivation and emotion, 16(3), 165– 185.
- Scherer KR (2001). Appraisal considered as a process of multilevel sequential checking. In Scherer KR, Schorr A, & Johnstone T (Eds.), Appraisal processes in emotion: Theory, methods, research (pp. 92– 120).
- Shaw K (2005). An engagement strategy process for communicators. Strategic Communication Management, 9(3), 26– 29.
- Sidner CL, Kidd CD, Lee C, & Lesh N (2004, January). Where to look: A study of human-robot engagement Proceedings of the 9th international conference on intelligent user interfaces,
- Spreitzer GM, & Porath C (2014). Self-determination as nutriment for thriving: Building an integrative model of human growth at work. In The Oxford handbook of work engagement, motivation, and self-determination theory (Vol. 90, pp. 245– 258).
- Thaler RH, & Sunstein CR (2021). Nudge: The final edition Penguin.
- Turel O, & Serenko A (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21(5), 512– 528.
- Venkatraman V, Clithero JA, & Fitzsimons GJ (2012). New scanner data for brand marketers: How neuroscience can help better understand differences in brand preferences. Journal of consumer psychology, 22(1), 143– 153.
- Verhagen T, & Van Dolen W (2011). The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information & Management, 48(8), 320– 327.
- Vugts A, Van Den Hoven M, De Vet E, & Verweij M (2020). How autonomy is understood in discussions on the ethics of nudging. Behavioural Public Policy, 4(1), 108– 123.
- Vuilleumier P (2002). Facial expression and selective attention. Current Opinion in Psychiatry, 15(3), 291– 300.
- Weintraub J, Cassell D, & DePatie TP (2021). Nudging flow through ‘SMART’goal setting to decrease stress, increase engagement, and increase performance at work. Journal of Occupational and Organizational Psychology, 94(2), 230– 258.
- Williams KJ, Martinez LR, Fall A-M, Miciak J, & Vaughn S (2020). Student Engagement among High School English Learners with Reading Comprehension Difficulties. School Psychology Review, 1– 19.
- Yardley L, Bradbury K, Nadarzynski T, & Hunter C (2018). Digital Health Psychology. In Handbook of Health Psychology (pp. 519– 525). Routledge.
- Young HR, Glerum DR, Wang W, & Joseph DL (2018). Who are the most engaged at work? A meta‐analysis of personality and employee engagement. Journal of Organizational Behavior, 39(10), 1330– 1346.
- Zeng X, & Mourali M (2021). Consumers as creative agents: How required effort influences willingness to engage. Psychology & Marketing, 38(8), 1220– 1237.
Cited by
Sorted by citations
Artificial Intelligence-Based Chatbots for Promoting Health Behavioral Changes: Systematic Review.
Aggarwal, A., Tam, C. C., Wu, D., Li, X., & Qiao, S. (2023) · Journal of medical Internet research · doi:10.2196/40789 · Cited by 683
“Acceptability was defined as the quality of user experience with the AI chatbot [17], for example, the satisfaction score or number of likes to the interaction with the AI chatbot.”
Jakob, R., Harperink, S., Rudolf, A. M., Fleisch, E., Haug, S., Mair, J. L., Salamanca-Sanabria, A., & Kowatsch, T. (2022) · Journal of Medical Internet Research · doi:10.2196/35371 · Cited by 446
Lipschitz, J. M., Pike, C. K., Hogan, T. P., Murphy, S. A., & Burdick, K. E. (2023) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-023-00297-3 · Cited by 241
Self-citationEngagement and retention in digital mental health interventions: a narrative review
Boucher, E. M., & Raiker, J. S. (2024) · BMC Digital Health · doi:10.1186/s44247-024-00105-9 · Cited by 218
Artificial Intelligence-Powered Cognitive Behavioral Therapy Chatbots, a Systematic Review
Farzan, M., Ebrahimi, H., Pourali, M., & Sabeti, F. (2024) · Iranian Journal of Psychiatry · doi:10.18502/ijps.v20i1.17395 · Cited by 102
Metadata
- Authors
- Nahum-Shani, I., Shaw, S. D., Carpenter, S. M., Murphy, S. A., & Yoon, C.
- Affiliations
- University of Pennsylvania (US)
- Venue
- American Psychologist
- Published
- 2022-10
- Volume
- 77
- Issue
- 7
- Pages
- 836-852
- ISSN
- 0003-066X (ISSN-L)
- 1935-990X
- PMC
- PMC9481750
- OpenAlex
- W4220943942
- Cited by
- 177
- References
- 86
- Citations by year
- 2026: 43 · 2025: 57 · 2024: 36 · 2023: 30 · 2022: 11
- FWCI
- 29.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- American Psychologist (publishedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (U01 CA229437; P50 DA054039; R01 DA039901; P41 EB028242; UG3 DE028723)
- Social Sciences and Humanities Research Council of Canada
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Communication › Digital Media and Philosophy
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- engagement, digital interventions, impulsive decision-making, attention allocation, motivation, digital health interventions
- MeSH terms
- Motivation
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