"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression

Kornfield, Rachel; Zhang, Renwen; Nicholas, Jennifer; Schueller, Stephen M.; Cambo, Scott A.; Mohr, David C.; Reddy, Madhu

doi:10.1145/3313831.3376309

Cited by 65Digital Mental Health InterventionsInnovative Human-Technology InteractionMobile Health and mHealth Applications

"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression

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Kornfield, Rachel, Zhang, Renwen, Nicholas, Jennifer, Schueller, Stephen M., Cambo, Scott A., Mohr, David C., Reddy, Madhu·2020·Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

DOI 10.1145/3313831.3376309PMC PMC7877799

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Abstract

While the HCI field increasingly examines how digital tools can support individuals in managing mental health conditions, it remains unclear how these tools can accommodate these conditions' temporal aspects. Based on weekly interviews with five individuals with depression, conducted over six weeks, this study identifies design opportunities and challenges related to extending technology-based support across fluctuating symptoms. Our findings suggest that participants perceive events and contexts in daily life to have marked impact on their symptoms. Results also illustrate that ebbs and flows in symptoms profoundly affect how individuals practice depression self-management. While digital tools often aim to reach individuals while they feel depressed, we suggest they should also engage individuals when they are less symptomatic, leveraging their energy and motivation to build habits, establish plans and goals, and generate and organize content to prepare for symptom onset.

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Message composition can feel overwhelming during periods of low mood.
“Since message composition can feel overwhelming during periods of low mood (Kornfield et al., 2020), users first rate their mood and energy, which leads them down two possible branches, either 1) composing a support message when their mood is high or not reported, or 2) receiving a support message when their mood is low (Bhattacharjee et al., 2023).”
From A text messaging intervention to support the mental health of young adults: User engagement and feedback from a field trial of an intervention prototype (2023) · cites this paper as Kornfield et al., 2020

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The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910 · see citing works
The benefits of being present: Mindfulness and its role in psychological well-being
Brown, K. W., & Ryan, R. M. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.4.822 · Cited by 13,448 · see citing works
Thematic analysis.
Braun, V., & Clarke, V. (2012) · APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological. · doi:10.1037/13620-004 · Cited by 10,299 · see citing works
Selective Cortical Undercutting As a Means of Modifying and Studying Frontal Lobe Function in Man
Scoville, W. B. (1949) · Journal of neurosurgery · doi:10.3171/jns.1949.6.1.0065 · Cited by 7,373 · see citing works
When choice is demotivating: Can one desire too much of a good thing?
Iyengar, S. S., & Lepper, M. R. (2000) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.79.6.995 · Cited by 3,844 · see citing works
Perceived barriers and facilitators to mental health help-seeking in young people: A systematic review
Gulliver, A., Griffiths, K. M., & Christensen, H. (2010) · BMC Psychiatry · doi:10.1186/1471-244x-10-113 · Cited by 3,292 · see citing works
A Guide to Conducting Consensual Qualitative Research
Hill, C. E., Thompson, B. J., & Williams, E. N. (1997) · The Counseling Psychologist · doi:10.1177/0011000097254001 · Cited by 2,884 · see citing works
When choice is demotivating: can one desire too much of a good thing?
Iyengar, S. S., & Lepper, M. R. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.79.6.995 · Cited by 2,878 · see citing works
Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support
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 · see citing works
Daily Well-Being: The Role of Autonomy, Competence, and Relatedness
Reis, H. T., Sheldon, K. M., Gable, S. L., Roscoe, J., & Ryan, R. M. (2000) · Personality and Social Psychology Bulletin · doi:10.1177/0146167200266002 · Cited by 2,067 · cited 1× · see citing works
“Shorter-term shifts in mood and wellbeing may correspond to an array of situational factors (e.g., social interactions) that act as stressors or enhance coping capacity [96,115].”
Background
The Economic Burden of Adults With Major Depressive Disorder in the United States (2005 and 2010)
Greenberg, P. E., Fournier, A.-A., Sisitsky, T., Pike, C. T., & Kessler, R. C. (2015) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.14m09298 · Cited by 1,779 · see citing works
Randomized trial of behavioral activation, cognitive therapy, and antidepressant medication in the acute treatment of adults with major depression.
Dimidjian, S., Hollon, S. D., Dobson, K. S., Schmaling, K. B., Kohlenberg, R. J., Addis, M. E., Gallop, R., McGlinchey, J. B., Markley, D. K., Gollan, J. K., et al. (2006) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.74.4.658 · Cited by 1,607 · cited 1× · see citing works
“While psychotherapy and other treatments can effectively reduce symptoms [33,35], demand for mental health services outstrips supply, and many individuals face challenges accessing services due to cost, transportation, and stigma [71,72,100,105].”
Background
Failure and delay in initial treatment contact after first onset of mental disorders in the National Comorbidity Survey Replication
Wang, P. S., Berglund, P., Olfson, M., Pincus, H. A., Wells, K. B., & Kessler, R. C. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.603 · Cited by 1,325 · see citing works
Depression, Disability Days, and Days Lost From Work in a Prospective Epidemiologic Survey
Broadhead, W. E. (1990) · JAMA · doi:10.1001/jama.1990.03450190056028 · Cited by 1,232 · see citing works
On the Self-Stigma of Mental Illness: Stages, Disclosure, and Strategies for Change
Corrigan, P. W., & Rao, D. (2012) · The Canadian Journal of Psychiatry · doi:10.1177/070674371205700804 · Cited by 1,208 · see citing works
Adherence in Internet Interventions for Anxiety and Depression
Christensen, H., Griffiths, K. M., & Farrer, L. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1194 · Cited by 1,133 · see citing works
Undertreatment of people with major depressive disorder in 21 countries
Thornicroft, G., Chatterji, S., Evans-Lacko, S., Gruber, M., Sampson, N., Aguilar-Gaxiola, S., Al-Hamzawi, A., Alonso, J., Andrade, L., Borges, G., et al. (2017) · British Journal of Psychiatry · doi:10.1192/bjp.bp.116.188078 · Cited by 1,121 · see citing works
Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR*D study
Fried, E. I., & Nesse, R. M. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.10.010 · Cited by 1,043 · see citing works
It's About Time: Temporal Structuring in Organizations
Orlikowski, W. J., & Yates, J. (2002) · Organization Science · doi:10.1287/orsc.13.6.684.501 · Cited by 1,040 · see citing works
Premature discontinuation in adult psychotherapy: A meta-analysis
Swift, J. K., & Greenberg, R. P. (2012) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0028226 · Cited by 978 · cited 1× · see citing works
“However, despite the potential of psychotherapy to accommodate changing needs and capacity, treatment is often time-limited, reflecting cost and resource intensiveness of services, as well as frequent early termination by patients [120].”
Background
Understanding tailoring in communicating about health
Hawkins, R. P., Kreuter, M., Resnicow, K., Fishbein, M., & Dijkstra, A. (2008) · Health Education Research · doi:10.1093/her/cyn004 · Cited by 934 · cited 1× · see citing works
“…translating in-person therapies into a digital form [51,55,123]; however, a robust body of work suggests that tailored rather than “one-size-fits-all” approaches have greater effect since they deliver more relevant information, in turn improving engagement and information processing [44,61].”
Background
Untitled work
(2018) · doi:10.1001/jama · Cited by 932 · see citing works
Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
Mohr, D. C., Zhang, M., & Schueller, S. M. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-044949 · Cited by 802 · see citing works
Self-citation
Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements
Torous, J., Nicholas, J., Larsen, M. E., Firth, J., & Christensen, H. (2018) · Evidence Based Mental Health · doi:10.1136/eb-2018-102891 · Cited by 790 · see citing works
Self-citation
Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health
Onnela, J.-P., & Rauch, S. L. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.7 · Cited by 726 · see citing works
Processes of Self‐Management in Chronic Illness
Schulman‐Green, D., Jaser, S., Martin, F., Alonzo, A., Grey, M., McCorkle, R., Redeker, N. S., Reynolds, N., & Whittemore, R. (2012) · Journal of Nursing Scholarship · doi:10.1111/j.1547-5069.2012.01444.x · Cited by 657 · see citing works
Local Standards for Sample Size at CHI
Caine, K. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858498 · Cited by 657 · see citing works
Harnessing context sensing to develop a mobile intervention for depression
Burns, M. N., Begale, M., Duffecy, J., Gergle, D., Karr, C. J., Giangrande, E., & Mohr, D. C. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1838 · Cited by 646 · cited 1× · see citing works
“For example, one proof-of-concept smartphone app passively tracked 38 types of data (e.g., location, motion, time, etc.), alongside self-reported mood, in order to predict emotional states and tailor activity suggestions [18].”
BackgroundSelf-citation
Personalization versus Customization: The Importance of Agency, Privacy, and Power Usage
Sundar, S. S., & Marathe, S. S. (2010) · Human Communication Research · doi:10.1111/j.1468-2958.2010.01377.x · Cited by 588 · see citing works
When Choice Motivates and When It Does Not
Katz, I., & Assor, A. (2006) · Educational Psychology Review · doi:10.1007/s10648-006-9027-y · Cited by 525 · see citing works
Health Care Costs of Primary Care Patients With Recognized Depression
Simon, G. E. (1995) · Archives of General Psychiatry · doi:10.1001/archpsyc.1995.03950220060012 · Cited by 520 · see citing works
Presence of individual (residual) symptoms during depressive episodes and periods of remission: a 3-year prospective study
Conradi, H. J., Ormel, J., & de Jonge, P. (2011) · Psychological Medicine · doi:10.1017/s0033291710001911 · Cited by 515 · see citing works
Duration of major depressive episodes in the general population: Results from the Netherlands Mental Health Survey and Incidence Study (NEMESIS)
Spijker, J., De Graaf, R., Bijl, R. V., Beekman, A. T. F., Ormel, J., & Nolen, W. A. (2002) · British Journal of Psychiatry · doi:10.1192/bjp.181.3.208 · Cited by 514 · see citing works
Internet-based psychological treatments for depression
Johansson, R., & Andersson, G. (2012) · Expert Review of Neurotherapeutics · doi:10.1586/ern.12.63 · Cited by 509 · see citing works
Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis
Canzian, L., & Musolesi, M. (2015) · Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing · doi:10.1145/2750858.2805845 · Cited by 477 · see citing works
Perceived Barriers to Mental Health Service Utilization in the United States, Ontario, and the Netherlands
Sareen, J., Jagdeo, A., Cox, B. J., Clara, I., ten Have, M., Belik, S.-L., de Graaf, R., & Stein, M. B. (2007) · Psychiatric Services · doi:10.1176/ps.2007.58.3.357 · Cited by 470 · see citing works
Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health.
Ben-Zeev, D., Scherer, E. A., Wang, R., Xie, H., & Campbell, A. T. (2015) · Psychiatric Rehabilitation Journal · doi:10.1037/prj0000130 · Cited by 429 · see citing works
Depression and everyday social activity, belonging, and well-being.
Steger, M. F., & Kashdan, T. B. (2009) · Journal of Counseling Psychology · doi:10.1037/a0015416 · Cited by 421 · see citing works
BeWell: A Smartphone Application to Monitor, Model and Promote Wellbeing
Lane, N., Mohammod, M., Lin, M., Yang, X., Lu, H., Ali, S., Doryab, A., Berke, E., Choudhury, T., & Campbell, A. (2011) · Proceedings of the 5th International ICST Conference on Pervasive Computing Technologies for Healthcare · doi:10.4108/icst.pervasivehealth.2011.246161 · Cited by 409 · see citing works
A Nursing Model for Chronic Illness Management Based Upon the Trajectory Framework
Corbin, J. M., & Strauss, A. (1991) · Research and theory for nursing practice · doi:10.1891/0889-7182.5.3.155 · Cited by 400 · see citing works
How many different ways do patients meet the diagnostic criteria for major depressive disorder?
Zimmerman, M., Ellison, W., Young, D., Chelminski, I., & Dalrymple, K. (2015) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2014.09.007 · Cited by 392 · see citing works
Facebook’s emotional consequences: Why Facebook causes a decrease in mood and why people still use it
Sagioglou, C., & Greitemeyer, T. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.003 · Cited by 387 · cited 1× · see citing works
“Yet, optimal level and type of customizability is unclear, especially given the potential gap between what individuals prefer and what will actually help them [50,102].”
Background
Exploring the idiographic dynamics of mood and anxiety via network analysis
Fisher, A. J., Reeves, J. W., Lawyer, G., Medaglia, J. D., & Rubel, J. A. (2017) · Journal of Abnormal Psychology · doi:10.1037/abn0000311 · Cited by 385 · see citing works
The benefits of self-compassion and optimism exercises for individuals vulnerable to depression
Shapira, L. B., & Mongrain, M. (2010) · The Journal of Positive Psychology · doi:10.1080/17439760.2010.516763 · Cited by 381 · see citing works
Perceived barriers to psychological treatments and their relationship to depression
Mohr, D. C., Ho, J., Duffecy, J., Baron, K. G., Lehman, K. A., Jin, L., & Reifler, D. (2010) · Journal of Clinical Psychology · doi:10.1002/jclp.20659 · Cited by 347 · see citing works
Self-citation
Major Depressive Disorder Treatment Guidelines in America and Europe
Davidson, J. R. T. (2010) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.9058se1c.04gry · Cited by 344 · see citing works
Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing
Wang, R., Wang, W., daSilva, A., Huckins, J. F., Kelley, W. M., Heatherton, T. F., & Campbell, A. T. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3191775 · Cited by 340 · see citing works
What works for whom: Tailoring psychotherapy to the person
Norcross, J. C., & Wampold, B. E. (2011) · Journal of Clinical Psychology · doi:10.1002/jclp.20764 · Cited by 338 · see citing works
Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild
Wahle, F., Kowatsch, T., Fleisch, E., Rufer, M., & Weidt, S. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.5960 · Cited by 333 · see citing works
The relationship between mobile phone location sensor data and depressive symptom severity
Saeb, S., Lattie, E. G., Schueller, S. M., Kording, K. P., & Mohr, D. C. (2016) · PeerJ · doi:10.7717/peerj.2537 · Cited by 313 · see citing works
Self-citation
IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety
Mohr, D. C., Tomasino, K. N., Lattie, E. G., Palac, H. L., Kwasny, M. J., Weingardt, K., Karr, C. J., Kaiser, S. M., Rossom, R. C., Bardsley, L. R., et al. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6645 · Cited by 301 · see citing works
Self-citation
Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions
Torous, J., Friedman, R., & Keshavan, M. (2014) · JMIR mHealth and uHealth · doi:10.2196/mhealth.2994 · Cited by 287 · see citing works
A finger on the pulse
Reddy, M. C., & Dourish, P. (2002) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/587078.587126 · Cited by 282 · see citing works
Self-citation
Access And Cost Barriers To Mental Health Care, By Insurance Status, 1999–2010
Rowan, K., McAlpine, D. D., & Blewett, L. A. (2013) · Health Affairs · doi:10.1377/hlthaff.2013.0133 · Cited by 277 · see citing works
Barriers to psychotherapy among depressed and nondepressed primary care patients
Mohr, D. C., Hart, S. L., Howard, I., Julian, L., Vella, L., Catledge, C., & Feldman, M. D. (2006) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3203_12 · Cited by 276 · see citing works
Self-citation
Towards an Artificially Empathic Conversational Agent for Mental Health Applications: System Design and User Perceptions
Morris, R. R., Kouddous, K., Kshirsagar, R., & Schueller, S. M. (2018) · Journal of Medical Internet Research · doi:10.2196/10148 · Cited by 273 · see citing works
Self-citation
Mediated Interpersonal Communication
Hartmann, T. (2008) · Routledge eBooks · doi:10.4324/9780203926864 · Cited by 267 · see citing works
Context awareness in health care: A review
Bricon-Souf, N., & Newman, C. (2006) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.01.003 · Cited by 263 · see citing works
Passive and In-Situ assessment of mental and physical well-being using mobile sensors
Rabbi, M., Ali, S., Choudhury, T., & Berke, E. (2011) · Proceedings of the 13th international conference on Ubiquitous computing · doi:10.1145/2030112.2030164 · Cited by 243 · see citing works
HCI and Affective Health
Sanches, P., Janson, A., Karpashevich, P., Nadal, C., Qu, C., Roquet, C. D., Umair, M., Windlin, C., Doherty, G. J., Höök, K., et al. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300475 · Cited by 227 · see citing works
Reflection Companion: A Conversational System for Engaging Users in Reflection on Physical Activity
Kocielnik, R., Xiao, L., Avrahami, D., & Hsieh, G. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3214273 · Cited by 221 · see citing works
Steps Toward Participatory Design of Social Robots: Mutual Learning with Older Adults with Depression
Lee, H. R., Šabanović, S., Chang, W.-L., Nagata, S., Piatt, J., Bennett, C., & Hakken, D. (2017) · Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction · doi:10.1145/2909824.3020237 · Cited by 212 · see citing works
Computerised cognitive-behavioural therapy for depression: systematic review
Kaltenthaler, E., Parry, G., Beverley, C., & Ferriter, M. (2008) · British Journal of Psychiatry · doi:10.1192/bjp.bp.106.025981 · Cited by 206 · cited 2× · see citing works
“Early digital tools for depression were largely didactic, translating in-person therapies into a digital form [51,55,123]; however, a robust body of work suggests that tailored rather than “one-size-fits-all” approaches have greater effect since they deliver more relevant information, in turn…”
Background
Efficacy of a web-based, crowdsourced peer-to-peer cognitive reappraisal platform for depression: Randomized controlled trial
Morris, R. R., Schueller, S. M., & Picard, R. W. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4167 · Cited by 206 · see citing works
Self-citation
Enhancing the Personalization of Psychotherapy With Dynamic Assessment and Modeling
Fisher, A. J., & Boswell, J. F. (2016) · Assessment · doi:10.1177/1073191116638735 · Cited by 205 · see citing works
Recovery From Major Depression: A 10-Year Prospective Follow-up Across Multiple Episodes
Solomon, D. A. (1997) · Archives of General Psychiatry · doi:10.1001/archpsyc.1997.01830230033005 · Cited by 199 · see citing works
Temporal Coordination –On Time and Coordination of CollaborativeActivities at a Surgical Department
Bardram, J. E. (2000) · Computer Supported Cooperative Work (CSCW) · doi:10.1023/a:1008748724225 · Cited by 197 · see citing works
Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study.
Cho, C.-H., Lee, T., Kim, M.-G., In, H. P., Kim, L., & Lee, H.-J. (2019) · Journal of Medical Internet Research · doi:10.2196/11029 · Cited by 183 · see citing works
Delineating the Longitudinal Structure of Depressive Illness: Beyond Clinical Subtypes and Duration Thresholds
Judd, L. L., & Akiskal, H. S. (2000) · Pharmacopsychiatry · doi:10.1055/s-2000-7967 · Cited by 182 · see citing works
Self-tracking for Mental Wellness
Kelley, C., Lee, B., & Wilcox, L. G. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025750 · Cited by 178 · see citing works
Pocket Skills: A Conversational Mobile Web App To Support Dialectical Behavioral Therapy
Schroeder, J., Wilkes, C., Rowan, K., Toledo, A., Paradiso, A., Czerwinski, M., Mark, G., & Linehan, M. M. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173972 · Cited by 175 · see citing works
Realizing the Potential of Mobile Mental Health: New Methods for New Data in Psychiatry
Torous, J. B., Staples, P. C., & Onnela, J.-P. “. (2015) · Current Psychiatry Reports · doi:10.1007/s11920-015-0602-0 · Cited by 173 · see citing works
Ecological momentary interventions for depression and anxiety
Schueller, S. M., Aguilera, A., & Mohr, D. C. (2017) · Depression and Anxiety · doi:10.1002/da.22649 · Cited by 168 · see citing works
Self-citation
Supportive text messaging for depression and comorbid alcohol use disorder: single-blind randomised trial
Agyapong, V. I. O., Ahern, S., McLoughlin, D. M., & Farren, C. K. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.02.040 · Cited by 167 · see citing works
Temporality in Medical Work: Time also Matters
Reddy, M. C., Dourish, P., & Pratt, W. (2006) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-005-9010-z · Cited by 164 · see citing works
Self-citation
Text messaging as an adjunct to CBT in low-income populations: A usability and feasibility pilot study.
Aguilera, A., & Muñoz, R. F. (2011) · Professional Psychology: Research and Practice · doi:10.1037/a0025499 · Cited by 159 · see citing works
Youth Codesign of a Mobile Phone App to Facilitate Self-Monitoring and Management of Mood Symptoms in Young People With Major Depression, Suicidal Ideation, and Self-Harm
Hetrick, S. E., Robinson, J., Burge, E., Blandon, R., Mobilio, B., Rice, S. M., Simmons, M. B., Alvarez-Jimenez, M., Goodrich, S., & Davey, C. G. (2018) · JMIR Mental Health · doi:10.2196/mental.9041 · Cited by 151 · see citing works
Flexible and Mindful Self-Tracking
Ayobi, A., Sonne, T., Marshall, P., & Cox, A. L. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173602 · Cited by 149 · see citing works
Design Opportunities for Mental Health Peer Support Technologies
O'Leary, K., Bhattacharya, A., Munson, S. A., Wobbrock, J. O., & Pratt, W. (2017) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2998181.2998349 · Cited by 148 · see citing works
Self as source: Agency and customization in interactive media
Sundar, S. S. (2008) · Routledge eBooks · doi:10.4324/9780203926864-12 · Cited by 146 · see citing works
Grateful recounting enhances subjective well-being: The importance of grateful processing
Watkins, P. C., Uhder, J., & Pichinevskiy, S. (2014) · The Journal of Positive Psychology · doi:10.1080/17439760.2014.927909 · Cited by 140 · see citing works
Preference for in-person psychotherapy versus digital psychotherapy options for depression: survey of adults in the U.S
Renn, B. N., Hoeft, T. J., Lee, H. S., Bauer, A. M., & Areán, P. A. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0077-1 · Cited by 140 · see citing works
Living with Depression: Illness and Identity Turning Points
Karp, D. A. (1994) · Qualitative Health Research · doi:10.1177/104973239400400102 · Cited by 131 · see citing works
Mind the body!
Sanches, P., Höök, K., Vaara, E. K., Weymann, C., Bylund, M., Ferreira, P., Peira, N., & Sjölinder, M. (2010) · Designing Interactive Systems Conference · doi:10.1145/1858171.1858182 · Cited by 130 · see citing works
An evaluation of an online peer support forum for university students with depressive symptoms
Horgan, A., McCarthy, G., & Sweeney, J. (2013) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2012.12.005 · Cited by 127 · cited 1× · see citing works
“Researchers have developed systems to provide psychoeducation, build self-management skills, deliver motivational content, and connect individuals to remote support from counselors or peers [47,66,73,76,84,106,124,126].”
Background
Temporality matters: Advancing a method for analyzing problem-solving processes in a computer-supported collaborative environment
Kapur, M. (2011) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-011-9109-9 · Cited by 123 · see citing works
Current research and trends in the use of smartphone applications for mood disorders
Torous, J., & Powell, A. C. (2015) · Internet Interventions · doi:10.1016/j.invent.2015.03.002 · Cited by 121 · see citing works
The accuracy of passive phone sensors in predicting daily mood
Pratap, A., Atkins, D. C., Renn, B. N., Tanana, M. J., Mooney, S. D., Anguera, J. A., & Areán, P. A. (2019) · Depression and Anxiety · doi:10.1002/da.22822 · Cited by 119 · see citing works
Uptake and usage of IntelliCare: A publicly available suite of mental health and well-being apps
Lattie, E. G., Schueller, S. M., Sargent, E., Stiles-Shields, C., Tomasino, K. N., Corden, M. E., Begale, M., Karr, C. J., & Mohr, D. C. (2016) · Internet Interventions · doi:10.1016/j.invent.2016.06.003 · Cited by 113 · see citing works
Self-citation
Mobile technology for mental health assessment
Areán, P. A., Ly, K. H., & Andersson, G. (2016) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2016.18.2/parean · Cited by 111 · see citing works
Use of Smartphone Apps, Social Media, and Web-Based Resources to Support Mental Health and Well-Being: Online Survey
Stawarz, K., Preist, C., & Coyle, D. (2019) · JMIR Mental Health · doi:10.2196/12546 · Cited by 107 · see citing works
Prescriptive persuasion and open-ended social awareness: expanding the design space of mobile health
Baumer, E. P. S., Katz, S. J., Freeman, J. E., Adams, P., Gonzales, A. L., Pollak, J., Retelny, D., Niederdeppe, J., Olson, C. M., & Gay, G. K. (2012) · Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work · doi:10.1145/2145204.2145279 · Cited by 107 · see citing works
What about Mood Swings
Chen, X., Sykora, M. D., Jackson, T., & Elayan, S. (2018) · International World Wide Web Conference (WWW) · doi:10.1145/3184558.3191624 · Cited by 106 · see citing works
A Randomized Controlled Trial of Effects of Wellness Recovery Action Planning on Depression, Anxiety, and Recovery
Cook, J. Α., Copeland, M. E., Floyd, C. B., Jonikas, J. A., Hamilton, M. M., Razzano, L. A., Carter, T. M., Hudson, W. B., Grey, D. D., & Boyd, S. (2012) · Psychiatric Services · doi:10.1176/appi.ps.201100125 · Cited by 105 · see citing works
Living the metrics: Self-tracking and situated objectivity
Pantzar, M., & Ruckenstein, M. (2017) · Digital Health · doi:10.1177/2055207617712590 · Cited by 100 · see citing works
The Importance of User Segmentation for Designing Digital Therapy for Adolescent Mental Health: Findings From Scoping Processes
Fleming, T. M., Merry, S., Stasiak, K., Hopkins, S. A., Patolo, T., Ruru, S., Latu, M., Shepherd, M., Christie, G., & Goodyear‐Smith, F. (2019) · JMIR Mental Health · doi:10.2196/12656 · Cited by 98 · see citing works
Stepped care for depression in primary care: what should be offered and how?
van Straten, A., Seekles, W., Veer-Tazelaar, N. V. ’., Beekman, A. T. F., & Cuijpers, P. J. (2010) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2010.tb03691.x · Cited by 94 · see citing works
Customizing treatment to the patient: Adaptive treatment strategies
Murphy, S. A., Collins, L. M., & Rush, A. J. (2007) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2007.02.001 · Cited by 94 · see citing works
Self-Experimentation for Behavior Change
Lee, J., Walker, E., Burleson, W., Kay, M., Buman, M. P., & Hekler, E. B. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3026038 · Cited by 81 · see citing works
Developing a Fitbit-supported lifestyle physical activity intervention for depressed alcohol dependent women
Abrantes, A. M., Blevins, C. E., Battle, C. L., Read, J. P., Gordon, A. L., & Stein, M. D. (2017) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2017.07.006 · Cited by 78 · see citing works
How patients with depressive symptoms view their condition: a qualitative study
Cornford, C. S., Hill, A., & Reilly, J. G. (2007) · Family Practice · doi:10.1093/fampra/cmm032 · Cited by 77 · see citing works
Daily mood ratings via text message as a proxy for clinic based depression assessment
Aguilera, A., Schueller, S. M., & Leykin, Y. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.01.033 · Cited by 74 · see citing works
Self-citation
Technological Innovations Enabling Automatic, Context-Sensitive Ecological Momentary Assessment
Intille, S. S. (2007) · The Science of Real-Time Data Capture · doi:10.1093/oso/9780195178715.003.0016 · Cited by 72 · see citing works
Understanding Messaging Preferences to Inform Development of Mobile Goal-Directed Behavioral Interventions
Muench, F. J., van Stolk‐Cooke, K., Morgenstern, J., Kuerbis, A., & Markle, K. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2945 · Cited by 70 · see citing works
Parasocial interactions and paracommunication with new media characters
Hartmann, T. (2008) · Cited by 70 · see citing works
Understanding the Mundane Nature of Self-care
Nunes, F., & Fitzpatrick, G. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173976 · Cited by 70 · see citing works
Overcoming compliance bias in self-report studies: A cross-study analysis
van Berkel, N., Gonçalves, J., Hosio, S. J., Sarsenbayeva, Z., Velloso, E., & Kostakos, V. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.10.003 · Cited by 69 · see citing works
Toward Caring for Oneself in a Life of Intense Ups and Downs: A Reflexive-Collaborative Exploration of Recovery in Bipolar Disorder
Veseth, M., Binder, P.-E., Borg, M., & Davidson, L. (2012) · Qualitative Health Research · doi:10.1177/1049732311411487 · Cited by 69 · see citing works
Domestic orchestration
Nansen, B., Arnold, M., Gibbs, M., & Davis, H. (2009) · Time & Society · doi:10.1177/0961463x09338082 · Cited by 64 · see citing works
Online Support Groups for Depression in China: Culturally Shaped Interactions and Motivations
Zhang, R., Eschler, J., & Reddy, M. C. (2018) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-018-9322-4 · Cited by 63 · see citing works
Self-citation
Autonomy in technology design
Calvo, R. A., Peters, D., Johnson, D. M., & Rogers, Y. (2014) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2559206.2560468 · Cited by 59 · see citing works
"My blood sugar is higher on the weekends"
Raj, S., Toporski, K., Garrity, A. N., Lee, J. M., & Newman, M. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300349 · Cited by 58 · see citing works
Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care
Ng, A., Kornfield, R., Schueller, S. M., Zalta, A. K., Brennan, M. B., & Reddy, M. C. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359217 · Cited by 46 · see citing works
Self-citation
Directive support, nondirective support, and health behaviors in a community sample
Stewart, D. W., Gabriele, J. M., & Fisher, E. B. (2011) · Journal of Behavioral Medicine · doi:10.1007/s10865-011-9377-x · Cited by 45 · see citing works
Does it make a difference who tells you what to do?
Roubroeks, M., Midden, C., & Ham, J. R. C. (2009) · International Conference on Persuasive Technology · doi:10.1145/1541948.1541970 · Cited by 38 · see citing works
Using online crowdsourcing to understand young adult attitudes toward expert-authored messages aimed at reducing hazardous alcohol consumption and to collect peer-authored messages
Kristan, J., & Suffoletto, B. P. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-014-0298-4 · Cited by 38 · see citing works
Exploring the efficacy and acceptability of Internet-delivered cognitive behavioural therapy for young adults with anxiety and depression: An open trial
Johnston, L., Dear, B. F., Gandy, M., Fogliati, V. J., Kayrouz, R., Sheehan, J., Rapee, R. M., & Titov, N. (2014) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867414527524 · Cited by 36 · cited 1× · see citing works
“Many individuals with depression express openness to engage with digital mental health tools, given their convenience, self-pacing, and reduced stigma concerns relative to face-to-face treatment [36,43,52,97].”
Background
Can Customizing an Avatar Motivate Exercise Intentions and Health Behaviors Among Those with Low Health Ideals?
Waddell, T. F., Sundar, S. S., & Auriemma, J. (2015) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2014.0356 · Cited by 33 · see citing works
Personal informatics in the wild
Li, I., Froehlich, J. E., Larsen, J. E., Grevet, C., & Ramirez, E. R. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2479641 · Cited by 33 · see citing works
The use and helpfulness of self-management strategies for depression: The experiences of patients
van Grieken, R. A., van Tricht, M. J., Koeter, M. W. J., van den Brink, W., & Schene, A. H. (2018) · PLoS ONE · doi:10.1371/journal.pone.0206262 · Cited by 33 · see citing works
Using E-Health Programs to Overcome Barriers to the Effective Treatment of Mental Health and Addiction Problems
Farvolden, P., Cunningham, J. A., & Selby, P. L. (2009) · Journal of Technology in Human Services · doi:10.1080/15228830802458889 · Cited by 32 · see citing works
Patient Perceptions of Their Own Data in mHealth Technology–Enabled N-of-1 Trials for Chronic Pain: Qualitative Study
Whitney, R. L., Ward, D., Marois, M., Schmid, C. H., Sim, I., & Kravitz, R. L. (2018) · JMIR mhealth and uhealth · doi:10.2196/10291 · Cited by 32 · see citing works
Profiles of Recovery from Mood and Anxiety Disorders: A Person-Centered Exploration of People's Engagement in Self-Management
Coulombe, S., Radziszewski, S., Meunier, S., Provencher, H. L., Hudon, C., Roberge, P., Provencher, M. D., & Houle, J. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00584 · Cited by 31 · see citing works
Use of Text Messaging for Postpartum Depression Screening and Information Provision
Lawson, A., Dalfen, A., Murphy, K. E., Milligan, N., & Lancee, W. J. (2019) · Psychiatric Services · doi:10.1176/appi.ps.201800269 · Cited by 29 · see citing works
Understanding depression through a ‘coming out’ framework
Ridge, D., & Ziébland, S. (2011) · Sociology of Health & Illness · doi:10.1111/j.1467-9566.2011.01409.x · Cited by 27 · see citing works
Understanding patients' health and technology attitudes for tailoring self-management interventions.
O’Leary, K., Vizer, L. M., Eschler, J., Ralston, J. D., & Pratt, W. (2015) · PubMed Central · Cited by 26 · see citing works
The Personal Health Technology Design Space
Bardram, J. E., & Frost, M. M. (2016) · IEEE Pervasive Computing · doi:10.1109/mprv.2016.37 · Cited by 23 · see citing works
The feasibility of using smartphones to assess and remediate depression in Hispanic/Latino individuals nationally
Pratap, A., Anguera, J. A., Renn, B. N., Neto, E. C., Volponi, J. J., Mooney, S. D., & Areán, P. A. (2017) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3123024.3127877 · Cited by 20 · see citing works
Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study
Meng, J., Hussain, S. A., Mohr, D. C., Czerwinski, M. P., & Zhang, M. (2018) · Journal of Medical Internet Research · doi:10.2196/10139 · Cited by 19 · see citing works
Self-citation
Experts get me started, peers keep me going
de Vries, R. A. J., Zaga, C., -Bayer, F. R., Drossaert, C. H. C., Truong, K. P., & Evers, V. (2017) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3154862.3154875 · Cited by 15 · see citing works
Supporting smartphone-based behavioral activation
Bardram, J. E., Rohani, D. A., Tuxen, N., Faurholt‐Jepsen, M., & Kessing, L. V. (2017) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3123024.3125617 · Cited by 13 · see citing works
The moment: a mobile tool for people with depression or bipolar disorder
Huang, S. T.-Y., Sano, A., & Kwan, C. M. Y. (2014) · Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication · doi:10.1145/2638728.2638784 · Cited by 13 · see citing works
Off the couch and out of the hospital, mobile applications for acceptance and commitment therapy
Verstappen, M., Gardner, P. M., Poon, D., & Bettridge, T. (2014) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/2628363.2633573 · Cited by 9 · see citing works
Differences in mobile phone affinity between demographic groups: implications for mobile phone delivered interventions and programs
Sillice, M. A., DUNSIGER, S. I., Jennings, E., Lantini, R., & Bock, B. C. (2018) · mHealth · doi:10.21037/mhealth.2018.09.06 · Cited by 9 · see citing works
Personas and Scenarios to Design Technologies for North Korean Defectors with Depression
Jung, H., Seo, W., & Cha, M. (2017) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3022198.3026308 · Cited by 6 · see citing works
Ubiquitous computing applied to mental health
Büttenbender, P. C., Barbosa, J. L. V., & Martins, M. G. (2018) · Brazilian Symposium on Multimedia and the Web · doi:10.1145/3243082.3267456 · Cited by 2 · see citing works
Using Technology for Health and Wellbeing
Czerwinski, M. P. (2018) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3242969.3243392 · Cited by 1 · see citing works

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[61]Kreuter Matthew W., Farrell David W., Olevitch Laura R., and Brennan Laura K.. 2013 Tailoring Health Messages: Customizing Communication with Computer Technology. Routledge.

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Passive social media use and psychological well-being during the COVID-19 pandemic: The role of social comparison and emotion regulation
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Self-citation
Examining an App-Based Mental Health Self-Care Program, IntelliCare for College Students: Single-Arm Pilot Study
Lattie, E., Cohen, K. A., Winquist, N., & Mohr, D. C. (2020) · JMIR Mental Health · doi:10.2196/21075 · Cited by 50 · see citing works
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Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults
Kornfield, R., Meyerhoff, J., Studd, H., Bhattacharjee, A., Williams, J. J., Reddy, M. C., & Mohr, D. C. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502046 · Cited by 55 · see citing works
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Distress Disclosure across Social Media Platforms during the COVID-19 Pandemic: Untangling the Effects of Platforms, Affordances, and Audiences
Zhang, R., Bazarova, N. N., & Reddy, M. C. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445134 · Cited by 49 · see citing works
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Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination
Bhattacharjee, A., Zeng, Y.-C., Xu, S., Kulzhabayeva, D., Ma, M., Kornfield, R., Ahmed, S. I., Mariakakis, A., Czerwinski, M. P., Kuzminykh, A., et al. (2023) · International Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642081 · Cited by 59 · see citing works
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A Longitudinal Goal Setting Model for Addressing Complex Personal Problems in Mental Health
Agapie, E., Areán, P. A., Hsieh, G., & Munson, S. A. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555160 · Cited by 36 · see citing works
What are you thinking?: Using CBT and Storytelling to Improve Mental Health Among College Students
Hamid, A., Arshad, R., & Shahid, S. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517603 · Cited by 35 · see citing works
Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing
Bhattacharjee, A., Williams, J. J., Meyerhoff, J., Kumar, H., Mariakakis, A. T., & Kornfield, R. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580774 · Cited by 34 · see citing works
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A text messaging intervention to support the mental health of young adults: User engagement and feedback from a field trial of an intervention prototype
Kornfield, R., Stamatis, C. A., Bhattacharjee, A., Pang, B., Nguyen, T., Williams, J. J., Kumar, H., Popowski, S., Beltzer, M., Karr, C. J., et al. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100667 · Cited by 33 · see citing works
“Since message composition can feel over-whelming during periods of low mood (Kornfield et al., 2020), users first rate their mood and energy, which leads them down two possible branches, either 1) composing a support message when their mood is high or not reported, or 2) receiving a support message…”
BackgroundSelf-citation
Meeting Young Adults' Social Support Needs across the Health Behavior Change Journey: Implications for Digital Mental Health Tools
Meyerhoff, J., Kornfield, R., Mohr, D. C., & Reddy, M. C. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555203 · Cited by 32 · see citing works
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User Perspectives and Ethical Experiences of Apps for Depression: A Qualitative Analysis of User Reviews
Bowie-DaBreo, D., Sas, C., Iles‐Smith, H., & Sünram‐Lea, S. I. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517498 · Cited by 36 · see citing works
Physiological Responses and User Feedback on a Gameful Breathing Training App: Within-Subject Experiment
Lukic, Y. X., Shih, C.-H. I., Reguera, Á. H., Cotti, A., Fleisch, E., & Kowatsch, T. (2020) · JMIR Serious Games · doi:10.2196/22802 · Cited by 31 · see citing works
Approaches for tailoring between-session mental health therapy activities
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Challenges and Opportunities for the Design of Inclusive Digital Mental Health Tools: Understanding Culturally Diverse Young People's Experiences
Soubutts, E., Marshall, P., Mcnaney, R., Shrestha, P., Davidson, B. I., Qu, C., Mindel, C., & Sefi, A. (2024) · International Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642641 · Cited by 28 · see citing works
The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental Health
Kruzan, K. P., Ng, A., Stiles‐Shields, C., Lattie, E. G., Mohr, D. C., & Reddy, M. C. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581209 · Cited by 24 · see citing works
Self-citation
“This app said I had severe depression, and now I don’t know what to do”: the unintentional harms of mental health applications
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Use of smartphone apps in bipolar disorder: An international web-based survey of feature preferences and privacy concerns
Morton, E. E., Nicholas, J., Lapadat, L., O'Brien, H. L., Barnes, S. J., Poh, C., & Michalak, E. E. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.08.132 · Cited by 21 · see citing works
Self-citation
"I Just Can't Help But Smile Sometimes": Collaborative Self-Management of Depression
Burgess, E. R., Reddy, M. C., & Mohr, D. C. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3512917 · Cited by 20 · see citing works
Self-citation
Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages
Kornfield, R., Mohr, D. C., Ranney, R. M., Lattie, E. G., Meyerhoff, J., Williams, J. J., & Reddy, M. C. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3512946 · Cited by 19 · see citing works
Self-citation
Infrastructural Work Behind The Scene: A Study of Formalized Peer-support Practices for Mental Health
Ding, X., Tran, L., Liu, Y., O'Neill, C., & Lindsay, S. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580657 · Cited by 19 · see citing works
Adaptive User Interfaces for Software Supporting Chronic Disease
Wang, W., Khalajzadeh, H., Grundy, J., Madugalla, A. K., & Obie, H. O. (2024) · IEEE/ACM International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS) · doi:10.1145/3639475.3640104 · Cited by 16 · see citing works
Cripping the Co-Design of Pacing Technologies For Energy-Limiting Conditions
Homewood, S., Hinkle, C. A., & Kaklopoulou, I. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713990 · Cited by 15 · see citing works
Designing Post-Trauma Self-Regulation Apps for People with Intellectual and Developmental Disabilities
Venkatasubramanian, K., & Ranalli, T.-M. (2022) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3517428.3544798 · Cited by 15 · see citing works
Developing a Mobile App for Young Adults with Nonsuicidal Self-Injury: A Prototype Feedback Study
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Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment
Yoo, D. W., Woo, H., Nguyen, V. C., Birnbaum, M. L., Kruzan, K. P., Kim, J. G., Abowd, G. D., & Choudhury, M. D. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642369 · Cited by 15 · see citing works
Engagement, Acceptability, and Effectiveness of the Self-Care and Coach-Supported Versions of the Vira Digital Behavior Change Platform Among Young Adults at Risk for Depression and Obesity: Pilot Randomized Controlled Trial
Weiner, L. S., Crowley, R. N., Sheeber, L., Koegler, F. H., Davis, J. F., Wells, M., Funkhouser, C. J., Auerbach, R. P., & Allen, N. B. (2024) · JMIR Mental Health · doi:10.2196/51366 · Cited by 18 · see citing works
Investigating the Possibility of Using an AR Mask to Support Online Psychological Counseling
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"Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young Adults
Bhattacharjee, A., Gong, Z., Wang, B., Luckcock, T. J., Watson, E., Abellan, E. A., Gutman, L. M., Hsu, A., & Williams, J. J. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3686936 · Cited by 13 · see citing works
System design of a text messaging program to support the mental health needs of non-treatment seeking young adults
Meyerhoff, J., Nguyen, T., Karr, C. J., Reddy, M. C., Williams, J. J., Bhattacharjee, A., Mohr, D. C., & Kornfield, R. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.09.086 · Cited by 12 · see citing works
Self-citation
Attachment-Informed Design: Digital Interventions That Build Self-Worth, Relationships, and Community in Support of Mental Health
Marcu, G. M., & Huh, J. (2023) · Designing Interactive Systems Conference · doi:10.1145/3563657.3596009 · Cited by 10 · see citing works
What's In Your Kit? Mental Health Technology Kits for Depression Self-Management
Burgess, E. R., Munson, S. A., Mohr, D. C., & Reddy, M. C. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713585 · Cited by 10 · see citing works
Self-citation
To What Scale Are Conversational Agents Used by Top-funded Companies Offering Digital Mental Health Services for Depression?
Alattas, A., Teepe, G. W., Leidenberger, K., Fleisch, E., Car, L. T., Salamanca-Sanabria, A., & Kowatsch, T. (2021) · International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) · doi:10.5220/0010413308010808 · Cited by 9 · see citing works
Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness
Kumar, H., Yoo, S., Bernuy, A., Shi, J., Luo, H., Williams, J. J., Kuzminykh, A., Anderson, A., & Kornfield, R. (2024) · doi:10.2139/ssrn.4892998 · Cited by 9 · see citing works
Self-citation
Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness
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Self-citation
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Authors: Kornfield, R., Zhang, R., Nicholas, J., Schueller, S. M., Cambo, S. A., Mohr, D. C., & Reddy, M.
Affiliations: Northwestern University (US)
The University of Melbourne (AU)
University of California, Irvine (US)
ORCID: Kornfield, Rachel
Nicholas, Jennifer
Schueller, Stephen M.
Mohr, David C.
Reddy, Madhu
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher: ACM
Published: 2020-04-21
Volume: 2020
Pages: 1-17
DOI: 10.1145/3313831.3376309
PMC: PMC7877799
OpenAlex: W3031975714
Cited by: 64
References: 135
Citations by year: 2026: 6 · 2025: 19 · 2024: 15 · 2023: 7 · 2022: 11 · 2021: 4 · 2020: 2
FWCI: 11.15
Type: conference paper
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations: CHI Conference on Human Factors in Computing Systems (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
eScholarship (California Digital Library) (submittedVersion, cc-by)
Funders: National Institute of Mental Health (T32 MH115882)
Topics: Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords: depression, fluctuating symptoms, digital mental health tools, self-management, symptom onset, habit formation, goal setting

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"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression

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