Beyond self-reflection: introducing the concept of rumination in personal informatics
Open accessAbstract
Personal informatics tools can help users self-reflect on their experiences. When reflective thought occurs, it sometimes leads to negative thought and emotion cycles. To help explain these cycles, we draw from Psychology to introduce the concept of rumination—anxious, perseverative cognition focused on negative aspects of the self—as a result of engaging with personal data. Rumination is an important concept for the Human Computer Interaction community because it can negatively affect users’ well-being and lead to maladaptive use. Thus, preventing and mitigating rumination is beneficial. In this conceptual paper, we differentiate reflection from rumination. We also explain how self-tracking technologies may inadvertently lead to rumination and the implications this has for design. Our goal is to expand self-tracking research by discussing these negative cycles and encourage researchers to consider rumination when studying, designing, and promoting tools to prevent adverse unintended consequences among users.
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?
Thinking about one's past can lead to rumination, that is, perseverative cognition circling around negative events and emotions.
“thinking about one's past does not necessarily have to be an enriching experience-as described in the previous section-but can also lead to rumination, that is, to perseverative cognition circling around negative events and emotions (Eikey et al., 2021).”
From Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model (2024) · cites this paper as Eikey et al., 2021
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 Development and Validation of a Scale to Measure Self-Compassion
NEFF, K. D. (2003) · Self and Identity · doi:10.1080/15298860309027 · Cited by 6,436 · cited 2× · see citing works
“…negatively associated with rumination, but it also negatively associated with self-criticism, depression, anxiety, thought suppression, and neurotic perfectionism and positively associated with life satisfaction and social connectedness, making it a key marker of mental health [102, 103].”
BackgroundNolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008) · Perspectives on Psychological Science · doi:10.1111/j.1745-6924.2008.00088.x · Cited by 5,172 · see citing works
Constructive and unconstructive repetitive thought
Watkins, E. R. (2008) · Psychological Bulletin · doi:10.1037/0033-2909.134.2.163 · Cited by 2,421 · see citing works
Gilbert, P., & Procter, S. (2006) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.507 · Cited by 1,822 · see citing works
Trapnell, P. D., & Campbell, J. D. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.76.2.284 · Cited by 1,646 · see citing works
McAdams, D. P., & McLean, K. C. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721413475622 · Cited by 1,497 · see citing works
Health App Use Among US Mobile Phone Owners: A National Survey
Krebs, P., & Duncan, D. T. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4924 · Cited by 1,274 · see citing works
Neff, K. D., Rude, S. S., & Kirkpatrick, K. L. (2007) · Journal of Research in Personality · doi:10.1016/j.jrp.2006.08.002 · Cited by 1,224 · see citing works
Effects of rumination and distraction on naturally occurring depressed mood
Nolen-hoeksema, S., & Morrow, J. (1993) · Cognition and Emotion · doi:10.1080/02699939308409206 · Cited by 1,000 · see citing works
McAdams, D. P., Reynolds, J., Lewis, M., Patten, A. H., & Bowman, P. J. (2001) · Personality and Social Psychology Bulletin · doi:10.1177/0146167201274008 · Cited by 822 · see citing works
Michl, L. C., McLaughlin, K. A., Shepherd, K., & Nolen-Hoeksema, S. (2013) · Journal of Abnormal Psychology · doi:10.1037/a0031994 · Cited by 694 · see citing works
Regulating responses to anger: Effects of rumination and distraction on angry mood.
Rusting, C. L., & Nolen-Hoeksema, S. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.74.3.790 · Cited by 641 · see citing works
Eisenberg, D., Nicklett, E. J., Roeder, K., & Kirz, N. E. (2011) · Journal of American College Health · doi:10.1080/07448481.2010.546461 · Cited by 634 · see citing works
Mellings, T. M. B., & Alden, L. E. (2000) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(99)00040-6 · Cited by 506 · see citing works
Smeets, E., Neff, K., Alberts, H., & Peters, M. (2014) · Journal of Clinical Psychology · doi:10.1002/jclp.22076 · Cited by 469 · cited 3× · see citing works
“Self-compassion can be thought of as treating oneself with care and concern especially during times of failure, mistakes, feelings of inadequacy, and painful experiences [105].”
BackgroundInfluentialMorin, A. (2006) · Consciousness and Cognition · doi:10.1016/j.concog.2005.09.006 · Cited by 316 · see citing works
Reviewing reflection: on the use of reflection in interactive system design
Baumer, E. P. S., Khovanskaya, V., Matthews, M., Reynolds, L., Schwanda Sosik, V., & Gay, G. (2014) · Proceedings of the 2014 conference on Designing interactive systems · doi:10.1145/2598510.2598598 · Cited by 266 · see citing works
A systematic review of the relationship between rumination and suicidality
Morrison, R., & O'Connor, R. C. (2008) · Suicide and Life-Threatening Behavior · doi:10.1521/suli.2008.38.5.523 · Cited by 231 · see citing works
Rumination, experiential avoidance, and dysfunctional thinking in eating disorders.
Rawal, A., Park, R. J., & Williams, J. M. G. (2010) · Behaviour Research and Therapy · doi:10.1016/j.brat.2010.05.009 · Cited by 223 · see citing works
A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media
Chancellor, S., Birnbaum, M. L., Caine, E. D., Silenzio, V. M. B., & De Choudhury, M. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency · doi:10.1145/3287560.3287587 · Cited by 214 · see citing works
Understanding self-reflection: how people reflect on personal data through visual data exploration
Choe, E. K., Lee, B., Zhu, H., Riche, N. H., & Baur, D. (2017) · Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3154862.3154881 · Cited by 194 · see citing works
Patterns and prevalence of disordered eating and weight control behaviors in women ages 25–45
Reba-Harrelson, L., Von Holle, A., Hamer, R. M., Swann, R., Reyes, M. L., & Bulik, C. M. (2009) · Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity · doi:10.1007/bf03325116 · Cited by 124 · see citing works
Modeling and Understanding Visual Attributes of Mental Health Disclosures in Social Media
Manikonda, L., & De Choudhury, M. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025932 · Cited by 116 · see citing works
Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development
Meyer, A. N., Murphy, G. C., Zimmermann, T., & Fritz, T. (2017) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3134714 · Cited by 60 · see citing works
Flagged first, then by citations
Research works printed but not linked: 75
- Li I, Dey A, Forlizzi J (2011) Understanding my data, myself: supporting self-reflection with ubicomp technologies. In: Proceedings of the 13th international conference on Ubiquitous Computing. ACM, Beijing, China, pp 405-414
- Li I, Dey A, Forlizzi J (2010) A stage-based model of personal infor- matics systems. In: Proceedings of the CHI Conference on Human Factors in Computing Systems. ACM, Atlanta, Georgia, p 557
- Epstein DA, Ping A, Fogarty J, Munson SA (2015) A lived infor- matics model of personal informatics. Proc 2015 ACM Int Jt Conf Fig. 3 Example of a possible way to help users reframe attributions in a diet and fitness app Pervasive Ubiquitous Comput -UbiComp '15 731-742. https:// doi.org/10.1145/2750858.2804250 · DOI
- Rooksby J, Rost M, Morrison A, Chalmers MC (2014) Personal tracking as lived informatics. Proceedings of the CHI Conference on Human Factors in Computing Systems, In, pp 1163-1172
- Eikey EV, Reddy MC (2017) "It's definitely been a journey": a qualitative study on how women with eating disorders use weight loss apps. In: ACM CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, Denver, CO, pp 1-13
- Kelley C, Lee B, Wilcox L (2017) Self-tracking for mental well- ness: understanding expert perspectives and student experiences. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, pp 629-641
- Ancker JS, Witteman HO, Hafeez B, Provencher T, Van De Graaf M, Wei E (2015) "You get reminded you're a sick person": per- sonal data tracking and patients with multiple chronic conditions. J Med Internet Res 17. 17:e202. https://doi.org/10.2196/jmir.4209 · DOI
- Epstein DA, Caraway M, Johnston C, Ping A, Fogarty J, Munson SA (2016) Beyond abandonment to next steps: understanding and designing for life after personal informatics tool use. In: Proceedings of the CHI Conference on Human Factors in Computing Systems, pp 1109-1113
- Mols I, van den Hoven E, Eggen B (2016) Informing design for reflection: an overview of current everyday practices. In: NordiCHI. ACM, Gothenburg, Sweden, pp 1-10
- Smith JM, Alloy LB (2010) A roadmap to rumination: a review of the definition, assessment, and conceptualization of this multifac- eted construct. Clin Psychol Rev 29:116-128. https://doi.org/10. 1016/j.cpr.2008.10.003.A · DOI
- Lengelle R, Luken T, Meijers F (2016) Is self-reflection danger- ous? Preventing rumination in career learning. Aust J Career Dev 25:99-109. https://doi.org/10.1177/1038416216670675 · DOI
- van Dijk ET, Beute F, Westerink JHD, Ijsselsteijn WA (2015) Unintended effects of self-tracking. In: CHI'15. Seoul, South- Korea, p 5
- Konrad A, Isaacs E, Whittaker S (2016) Technology-mediated memory: is technology altering our memories and interfering with well-being? ACM Trans Comput Interact 23:1-29. https://doi.org/ 10.1145/2934667 · DOI · Paper page
- Konrad A, Tucker S, Crane J, Whittaker S (2016) Technology and reflection: mood and memory mechanisms for well-being. Psychol Well Being 6:5. https://doi.org/10.1186/s13612-016-0045-3 · DOI
- Hollis V, Konrad A, Springer A, Antoun M, Antoun C, Martin R, Whittaker S (2017) What does all this data mean for my future mood? Actionable Analytics and Targeted Reflection for Emotional Well-Being. Human-Computer Interact 32:208-267. https://doi.org/10.1080/07370024.2016.1277724 · DOI · Paper page
- Isaacs E, Konrad A, Walendowski A, Lennig T, Hollis V, Whittaker S (2013) Echoes from the past: how technology mediated reflection improves well-being. Conf Hum Factors Comput Syst -Proc:1071- 1080. https://doi.org/10.1145/2470654.2466137 · DOI · Paper page
- Harrington R, Loffredo DA (2011) Insight, rumination, and self- reflection as predictors of well-being. J Psychol Interdiscip Appl 145:39-57. https://doi.org/10.1080/00223980.2010.528072 · DOI
- Joireman JA, III LP, Hammersla J (2002) Empathy and the self- absorption paradox: support for the distinction between self- rumination and self-reflection. Self Identity 1:53-65. https://doi. org/10.1080/152988602317232803 · DOI
- Atkins S, Murphy K (1993) Reflection: a review of the literature. J Adv Nurs 18:1188-1192. https://doi.org/10.1046/j.1365-2648. 1993.18081188.x · DOI
- Takano K, Tanno Y (2009) Self-rumination, self-reflection, and depression: self-rumination counteracts the adaptive effect of self- reflection. Behav Res Ther 47:260-264. https://doi.org/10.1016/j. brat.2008.12.008 · DOI
- Ryan P (2009) Integrated theory of health behavior change: back- ground and intervention development. Clin Nurse Spec 23:161- 172. https://doi.org/10.1097/NUR.0b013e3181a42373.Integrated · DOI
- Choe EK, Kientz JA, Halko S, Fonville A, Sakaguchi D, Watson NF (2010) Opportunities for computing to support healthy sleep behavior. In: CHI '10 Extended Abstracts on Human Factors in Computing Systems. ACM, New York, NY, USA, pp 3661-3666
- Baumer EPS (2015) Reflective Informatics. Proc 33rd Annu ACM Conf Hum Factors Comput Syst -CHI '15 585-594. https://doi.org/10.1145/2702123.2702234 · DOI
- Chen R, Orand M, Choi S, CHI LC-P of the 2018, 2018 undefined An empirical exploration of mindfulness design using solo travel domain. dl.acm.org
- Hollis V, Konrad A, Whittaker S (2015) Change of heart: emotion tracking to promote behavior change. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, pp 2643-2652
- Figueiredo MC, Caldeira C, Eikey EV, Mazmanian M, Chen Y (2018) Engaging with health data: the interplay between self- tracking activities and emotions in fertility struggles. In: CSCW 2018. ACM, Jersey City
- Morin A (2017) Toward a glossary of self-related terms. Front Psychol 8:1-9. https://doi.org/10.3389/fpsyg.2017.00280 · DOI
- Martin L, Tesser A (1996) Ruminative thoughts. Psychology Press
- McIntosh WD, Harlow TF, Martin LL (1995) Linkers and nonlinkers: goal beliefs as a moderator of the effects of everyday hassles on rumi- nation, depression, and physical complaints. J Appl Soc Psychol 25: 1231-1244. https://doi.org/10.1111/j.1559-1816.1995.tb02616.x · DOI
- Blagden JC, Craske MG (1996) Effects of active and passive rumination and distraction: a pilot replication with anxious mood. J Anxiety Disord 10:243-252. https://doi.org/10.1016/0887- 6185(96)00009-6 · DOI
- Roger D, Najarian B (1989) The construction and validation of a new scale for measuring emotion control. Pers Individ Dif 10: 845-853. https://doi.org/10.1016/0191-8869(89)90020-2 · DOI
- Caprara GV, Gargaro T, Pastorelli C, Prezza M, Renzi P, Zelli A (1987) Individual differences and measures of aggression in lab- oratory studies. Pers Individ Dif 8:885-893. https://doi.org/10. 1016/0191-8869(87)90140-1 · DOI
- Miranda R, Nolen-Hoeksema S (2007) Brooding and reflection: rumination predicts suicidal ideation at 1-year follow-up in a com- munity sample. Behav Res Ther 45:3088-3095. https://doi.org/ 10.1016/j.brat.2007.07.015 · DOI
- Şimşek ÖF (2013) The relationship between language use and depression: illuminating the importance of self-reflection, self-ru- mination, and the need for absolute truth. J Gen Psychol 140:29- 44. https://doi.org/10.1080/00221309.2012.713407 · DOI
- Butler LD, Nolen-Hoeksema S (1994) Gender differences in re- sponses to depressed mood in a college sample. Sex Roles 30: 331-346. https://doi.org/10.1007/BF01420597 · DOI
- Elliott I, Coker S (2008) Independent self-construal, self-reflec- tion, and self-rumination: a path model for predicting happiness. Aust J Psychol 60:127-134. https://doi.org/10.1080/ 00049530701447368 · DOI
- Greenberg J, Musham C (1981) Avoiding and seeking self- focused attention. J Res Pers 15:191-200. https://doi.org/10. 1016/0092-6566(81)90018-0 · DOI
- Duval S, Wicklund RA (1972) A theory of objective self aware- ness. Academic Press, Oxford, England
- Ayobi A (2018) Informing the Design of Personal Informatics Technologies for Unpredictable Chronic Conditions. In: CHI'18 Extended Abstracts, pp 1-4
- Ayobi A, Marshall P, Cox AL, Chen Y (2017) Quantifying the body and caring for the mind: self-tracking in multiple sclerosis. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, pp 6889-6901
- Horvath L, Penkler M, Harrer S, Sicart M (2018) Fitter, happier, more productive? The Normative Ontology of Fitness Trackers. Ext Abstr 2018 CHI Conf Hum Factors Comput Syst 1-10
- Snyder J, Murnane E, Lustig C, Voida S (2019) Visually encoding the lived experience of bipolar disorder. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp 1-14
- Consolvo S, McDonald DW, Landay JA (2009) Theory-driven design strategies for technologies that support behavior change in everyday life. Proc 27th Int Conf Hum factors Comput Syst - CHI 09:405. https://doi.org/10.1145/1518701.1518766 · DOI
- Kanfer FH, Gaelick L (1975) Self-management methods. In: Helping People Change: A Textbook of Methods. England, Oxford, pp 309-355
- Katz D, Dalton N, Holland S, O'Kane A, Price BA (2017) Questioning the reflection paradigm for diabetes mobile apps. Lect Notes Inst Comput Sci Soc Telecommun Eng LNICST 181 LNICST:315-326 . doi: https://doi.org/10.1007/978-3-319-49655-9_39 · DOI
- Espeland WN, Stevens ML (2008) A sociology of quantification. Arch Eur Sociol 49:401-436. https://doi.org/10.1017/ S0003975609000150 · DOI · Paper page
- Lupton D (2013) Quantifying the body: monitoring and measur- ing health in the age of mHealth technologies. Crit Public Health 23:393-403. https://doi.org/10.1080/09581596.2013.794931 · DOI
- De Choudhury M, Kiciman E, Dredze M, Coppersmith G, Kumar M (2016) Discovering shifts to suicidal ideation from mental health content in social media. In: Conference on Human Factors in Computing Systems -Proceedings, pp 2098-2110
- Chancellor S (2018, 2018) Computational methods to understand deviant mental wellness communities. Conf Hum Factors Comput Syst -Proc:1-4. https://doi.org/10.1145/3170427.3173021 · DOI
- Tran T, Nathan-Roberts D (2018) Design considerations in wear- able technology for patients with bipolar disorder. Proc Hum Factors Ergon Soc 2:1187-1191. https://doi.org/10.1177/ 1541931218621273 · DOI
- Rooksby J, Morrison A, Murray-Rust D (2019) Student perspec- tives on digital phenotyping the acceptability of using smartphone data to assess mental health. Conf Hum Factors Comput Syst - Proc. https://doi.org/10.1145/3290605.3300655 · DOI · Paper page
- Sweeney PD, Anderson K, Bailey S (1986) Attributional style in depression: a meta-analytic review. J Personal Soc Psychol 50:1-2
- Lo CSL, Ho SMY, Hollon SD (2010) The effects of rumination and depressive symptoms on the prediction of negative attribu- tional style among college students. Cogn Ther Res 34:116-123. https://doi.org/10.1007/s10608-009-9233-2 · DOI
- Farchione TJ, Fairholme CP, Ellard KK, Boisseau CL, Thompson-Hollands J, Carl JR, Gallagher MW, Barlow DH (2012) Unified protocol for transdiagnostic treatment of emotion- al disorders: a randomized controlled trial. Behav Ther 43:666- 678. https://doi.org/10.1016/j.beth.2012.01.001 · DOI · Paper page
- Bol N, Helberger N, Weert JCM (2018) Differences in mobile health app use: a source of new digital inequalities? Inf Soc 34: 183-193. https://doi.org/10.1080/01972243.2018.1438550 · DOI · Paper page
- Yaemsiri S, Slining MM, Agarwal SK (2011) Perceived weight status, overweight diagnosis, and weight control among US adults: the NHANES 2003-2008 Study. Int J Obes 35:1063- 1070. https://doi.org/10.1038/ijo.2010.229 · DOI
- Ahern AL, Bennett KM, Kelly M, Hetherington MM (2011) A qualitative exploration of young women's attitudes towards the thin ideal. J Health Psychol 16:70-79. https://doi.org/10.1177/ 1359105310367690 · DOI
- Bucchianeri MM, Neumark-Sztainer D (2014) Body dissatisfac- tion: an overlooked public health concern. J Public Ment Health 13:64-69. https://doi.org/10.1108/JPMH-11-2013-0071 · DOI
- Juarascio AS, Forman EM, Timko CA, Herbert JD, Butryn M, Lowe M (2011) Implicit internalization of the thin ideal as a predictor of increases in weight, body dissatisfaction, and disordered eating. Eat Behav 12:207-213. https://doi.org/10.1016/j.eatbeh.2011.04.004 · DOI
- Fayet F, Petocz P, Samman S (2012) Prevalence and correlates of dieting in college women: a cross sectional study. Int J Women's Heal 4:405-411. https://doi.org/10.2147/IJWH.S33920 · DOI
- Ackard DM, Croll JK, Kearney-Cooke A (2002) Dieting frequency among college females: association with disordered eating, body im- age, and related psychological problems. J Psychosom Res 52:129- 136. https://doi.org/10.1016/S0022-3999(01)00269-0 · DOI
- Wade TD, Keski-Rahkonen A, Hudson J (2011) Epidemiology of eating disorders. In: 3rd (ed) Textbook in Psychiatric Epidemiology. M. Tsuang. Wiley, New York, pp 343-360
- Shisslak CM, Crago M, Estes LS (1995) The spectrum of eating disturbances. Int J Eat Disord 18:209-219. https://doi.org/10.1002/ 1098-108x(199511)18:3<209::aid-eat2260180303>3.0.co;2-e · DOI
- Neumark-Sztainer D, Wall M, Guo J, Story M, Haines J, Eisenberg M (2006) Obesity, disordered eating, and eating disor- ders in a longitudinal study of adolescents: how do dieters fare 5 years later? J Am Diet Assoc 106:559-568. https://doi.org/10. 1016/j.jada.2006.01.003 · DOI · Paper page
- Quick VM, Byrd-Bredbenner C (2013) Disturbed eating behaviours and associated psychographic characteristics of college students. J Hum Nutr Diet 26:53-63. https://doi.org/10.1111/jhn.12060 · DOI
- Schwitzer AM, Choate LH (2015) College women eating disorder diagnostic profile and DSM-5. J Am Coll Heal 63:73-78. https:// doi.org/10.1080/07448481.2014.963110 · DOI
- Schwitzer AM (2012) Diagnosing, conceptualizing, and treating eating disorders not otherwise specified: a comprehensive practice model. J Couns Dev 90:281-289. https://doi.org/10.1002/j.1556- 6676.2012.00036.x · DOI
- Berg KC, Frazier P, Sherr L (2009) Change in eating disorder attitudes and behavior in college women: prevalence and predictors. Eat Behav 10:137-142. https://doi.org/10.1016/j.eatbeh.2009.03.003 · DOI
- Mantelou A, Karakasidou E (2017) The effectiveness of a brief self-compassion intervention program on self-compassion, posi- tive and negative affect and life satisfaction. Psychology 8:590- 610. https://doi.org/10.4236/psych.2017.84038 105. · DOI
- Adler JM, Turner AF, Brookshier KM, Monahan C, Olin FW, Albaugh M (2015) Mental health over several years. 108:476- 496. https://doi.org/10.1037/a0038601.Variation 108. · DOI
- Baddeley J, Singer JA (2010) A loss in the family: silence, mem- ory, and narrative identity after bereavement. Memory 18:198- 207. https://doi.org/10.1080/09658210903143858 110. · DOI
- Dunlop WL, Tracy JL (2013) Sobering stories: narratives of self- redemption predict behavioral change and improved health among recovering alcoholics. J Pers Soc Psychol 104:576-590. https:// doi.org/10.1037/a0031185 112. · DOI · Paper page
- Lodi-Smith J, Geise AC, Roberts BW, Robins RW (2009) Narrating personality change. J Pers Soc Psychol 96:679-689. https://doi.org/10.1037/a0014611 113. · DOI
- Isaacs E, Konrad A, Walendowski A, Lennig T, Hollis V, Whittaker S (2013) Echoes from the past: how technology medi- ated reflection improves well-being. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, pp 1071-1080 114. Hilt LM Attribution retraining for therapeutic change: theory, practice, and future directions. Imagin Cogn Personal 23:289-307 115.
- Epstein DA, Cordeiro F, Fogarty J, Hsieh G, Munson SA (2016) Crumbs: lightweight daily food challenges to promote engagement and mindfulness. Proc 2016 CHI Conf Hum Factors Comput Syst: 5632-5644. https://doi.org/10.1145/2858036.2858044 116. Peng F, LaBelle V, Yue E, Picard R (2018) A trip to the moon: personalized animated movies for self-reflection. https://doi.org/ 10.1145/3173574.3173827 117. Rubenstein LM, Freed RD, Shapero BG, Fauber RL, Alloy LB (2016) Cognitive attributions in depression: bridging the gap be- tween research and clinical practice. J Psychother Integr 26:103- 115. https://doi.org/10.1037/int0000030. · DOI
Cited by
Sorted by citations
Brewer, R. N. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts · doi:10.1145/3491101.3519642 · Cited by 43 · see citing works
Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model
Hutmacher, F., Appel, M., & Schwan, S. (2024) · Psychological Inquiry · doi:10.1080/1047840x.2024.2384125 · Cited by 12 · see citing works
- Authors
- Eikey, E. V., Caldeira, C. M., Figueiredo, M. C., Chen, Y., Borelli, J. L., Mazmanian, M., & Zheng, K.
- Affiliations
- University of California San Diego (US)
- University of California, Irvine (US)
- Corresponding author
- Eikey, Elizabeth Victoria
- ORCID
- Venue
- Personal and Ubiquitous Computing
- Published
- 2021-05-10
- Volume
- 25
- Issue
- 3
- Pages
- 601-616
- ISSN
- 1617-4909 (ISSN-L)
- 1617-4917
- OpenAlex
- W3161147834
- Cited by
- 82
- References
- 24
- Citations by year
- 2026: 17 · 2025: 29 · 2024: 15 · 2023: 14 · 2022: 6 · 2021: 1
- FWCI
- 5.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Personal and Ubiquitous Computing (publishedVersion, cc-by)
- Funders
- National Science Foundation (DGE1255832)
- Foundation for the National Institutes of Health (UL1 TR001414)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- rumination, self-reflection, personal informatics, self-tracking, user well-being, personal data
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