skip to main content
10.1145/3290605.3300337acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article
Open access

Supporting Coping with Parkinson's Disease Through Self Tracking

Published: 02 May 2019 Publication History

Abstract

Self-tracking can help people understand their medical condition and the factors that influence their symptoms. However, it is unclear how tracking technologies should be tailored to help people cope with the progression of a degenerative disease. To understand how smartphone apps and other tracking technologies can support people in coping with an incurable illness, we interviewed both people with Parkinson's Disease (n=17) and care partners (n=6) who help people with Parkinson's manage their lives. We describe how symptom trackers can help people identify and solve problems to improve their quality of life, the role symptom trackers can play in helping people combat their own tendencies towards avoidance and denial, and the complex role of care partners in defining and tracking ambiguous symptoms. Our findings yield insights that can guide the design of tracking technologies to help people with Parkinson's Disease accept and plan for their condition.

Supplementary Material

ZIP File (paper107.pdf.zip)

References

[1]
Jessica S. Ancker, Holly O. Witteman, Baria Hafeez, Thierry Provencher, Mary Van De Graaf, and Esther Wei. 2015. "You get reminded you're a sick person": Personal data tracking and patients with multiple chronic conditions. Journal of Medical Internet Research 17, 8 (2015).
[2]
Siddharth Arora, Vinayak Venkataraman, Andong Zhan, S. Donohue, K. M. Biglan, E. Ray Dorsey, and M. A. Little. 2015. Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study. Parkinsonism and Related Disorders 21 (2015), 650--653.
[3]
Amid Ayobi, Paul Marshall, Anna Cox, and Yunan Chen. 2017. Quantifying the body and caring for the mind: Understanding self-tracking in multiple sclerosis. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 6889--6901.
[4]
Jakob E. Bardram, Mads Frost, Károly Szántó, and Gabriela Marcu. 2012. The MONARCA self-assessment system. In Proceedings of the 2nd ACM SIGHIT symposium on International health informatics - IHI '12. 21.
[5]
Frank Bentley, Konrad Tollmar, Peter Stephenson, Laura Levy, Brian Jones, Scott Robertson, Ed Price, Richard Catrambone, and Jeff Wilson. 2013. Health Mashups: Presenting Statistical Patterns between Supporting Coping with Parkinson's Disease Through Self-Tracking CHI 2019, May 4--9, 2019, Glasgow, Scotland UK Wellbeing Data and Context in Natural Language to Promote Behavior Change. ACM Transactions on Computer-Human Interaction 20, 5 (2013), 1--27.
[6]
Andrew B. L. Berry, Catherine Lim, Andrea L. Hartzler, Tad Hirsch, Edward H. Wagner, Evette Ludman, and James D. Ralston. 2017. How Values Shape Collaboration Between Patients with Multiple Chronic Conditions and Spousal Caregivers. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI '17. 5257-- 5270.
[7]
S. Bostantjopoulou, Zoe Katsarou, C. Karakasis, E. Peitsidou, D. Milioni, and N. Rossopoulos. 2013. Evaluation of non-motor symptoms in Parkinson's Disease: An underestimated necessity. Hippokratia 17, 3 (2013), 214--219.
[8]
R. S. Bucks, K. E. Cruise, T. C. Skinner, A. M. Loftus, R. A. Barker, and M. G. Thomas. 2011. Coping processes and health-related quality of life in Parkinson's disease. International Journal of Geriatric Psychiatry 26, 3 (2011), 247--255.
[9]
K. Ray Chaudhuri, Per Odin, Angelo Antonini, and Pablo MartinezMartin. 2011. Parkinson's disease: The non-motor issues. Parkinsonism and Related Disorders 17, 10 (2011), 717--723.
[10]
Eun Kyoung Choe, Bongshin Lee, Sean Munson, Wanda Pratt, and Julie A Kientz. 2013. Persuasive performance feedback: the effect of framing on self-efficacy. In American Medical Informatics Association Annual Symposium proceedings, Vol. 2013. 825-- 33. http://www.ncbi.nlm.nih.gov/ /24551378{%}5Cnhttp:// www.central.nih.gov/articlerender.fcgi?artid=PMC3900219
[11]
Eun Kyoung Choe, Nicole B. Lee, Bongshin Lee, Wanda Pratt, and Julie A. Kientz. 2014. Understanding quantified-selfers' practices in collecting and exploring personal data. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14). ACM, New York, NY, USA, 1143--1152.
[12]
Kelvin L. Chou. 2018. Clinical Manifestations of Parkinson Disease. In UpToDate, Howard I. Hurtig and April F. Eichler (Eds.). Wolters Kluwer, Waltham, MA.
[13]
Chia-Fang Chung, Elena Agapie, Jessica Schroeder, Sonali R. Mishra, James Fogarty, and Sean A Munson. 2017. When personal tracking becomes social: Examining the use of Instagram for healthy eating. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 1674--1687.
[14]
Chia-Fang Chung, Kristin Dew, Allison Cole, Jasmine Zia, James Fogarty, Julie A. Kientz, and Sean A. Munson. 2016. Boundary negotiating artifacts in personal informatics: Patient-provider collaboration with Patient-generated data. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM, New York, NY, USA, 770--786.
[15]
Juliet Corbin and Anselm Strauss. 1990. Grounded Theory Research: Procedures, Canons and Evaluative Criteria. Qualitative Sociology 13, 1 (1990), 3--21.
[16]
Felicia Cordeiro, Elizabeth Bales, Erin Cherry, and James Fogarty. 2015. Rethinking the Mobile Food Journal. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15. 3207--3216.
[17]
Ana Correia de Barros, João Cevada, Àngels Bayés, Sheila Alcaine, and Berta Mestre. 2013. User-centred Design of a Mobile Self-management Solution for Parkinson's Disease. In International Conference on Mobile and Ubiquitous Multimedia (MUM). 23:1--23:10.
[18]
Daniel A. Epstein, Nicole B. Lee, Jennifer H. Kang, Elena Agapie, Jessica Schroeder, Laura R. Pina, James Fogarty, Julie A. Kientz, and Sean A. Munson. 2017. Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2017). ACM, New York, NY, USA.
[19]
Sergio Felipe, Aneesha Singh, Caroline Bradley, Amanda Cdec Williams, and Nadia Bianchi-Berthouze. 2015. Roles for personal informatics in chronic pain. In 9th International Conference on Pervasive Computing Technologies for Healthcare. 161--168.
[20]
S Folkman and R S Lazarus. 1985. If it changes it must be a process. Journal of personality and social psychology 48, 1 (1985), 150--170.
[21]
Susan Folkman and Richard S. Lazarus. 1988. The ways of coping questionnaire: Manual, Instrument, Scoring Guide. Consulting Psychologists Press, Inc.
[22]
Leslie D. Frazier. 2002. Stability and Change in Patterns of Coping with Parkinson's Disease. The international journal of aging and human development 55, 3 (2002), 207--231.
[23]
Brook Galna, Dan Jackson, Guy Schofield, Roisin McNaney, Mary Webster, Gillian Barry, Dadirayi Mhiripiri, Madeline Balaam, Patrick Olivier, and Lynn Rochester. 2014. Retraining function in people with Parkinson's disease using the Microsoft kinect: Game design and pilot testing. Journal of NeuroEngineering and Rehabilitation 11, 1 (2014), no pagination.
[24]
Christopher G. Goetz, Stanley Fahn, Pablo Martinez-Martin, Werner Poewe, Cristina Sampaio, Glenn T. Stebbins, Matthew B. Stern, Barbara C. Tilley, Richard Dodel, Bruno Dubois, Robert Holloway, Joseph Jankovic, Jaime Kulisevsky, Anthony E. Lang, Andrew Lees, Sue Leurgans, Peter A. LeWitt, David Nyenhuis, C. Warren Olanow, Olivier Rascol, Anette Schrag, Jeanne A. Teresi, Jacobus J. Van Hilten, and Nancy LaPelle. 2007. Movement disorder society-sponsored revision of the unified Parkinson's disease rating scale (MDS-UPDRS): Process, format, and clinimetric testing plan. Movement Disorders 22, 1 (2007), 41--47.
[25]
A. M. Gotham, R. G. Brown, and C. D. Marsden. 1986. Depression in Parkinson's disease: A quantitative and qualitative analysis. Journal of Neurology Neurosurgery and Psychiatry 49, 4 (1986), 381--389.
[26]
Lisa Graham, Anthony Tang, and Carman Neustaedter. 2016. Help me help you: Shared reflection for personal data. In Proceedings of the 19th International Conference on Supporting Group Work (GROUP '16). ACM, New York, NY, USA, 99--109. arXiv:arXiv:1011.1669v3
[27]
K. Grandez, P. Bustamante, G. Solas, I. Gurutzeaga, and A. GarcíaAlonso. 2009. Wearable wireless sensor for the gait monitorization of Parkinsonian patients. In 2009 16th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2009. 215--218.
[28]
Anita Haahr, Marit Kirkevold, Elisabeth O.C. Hall, and Karen Østergaard. 2011. Living with advanced Parkinson's disease: A constant struggle with unpredictability. Journal of Advanced Nursing 67, 2 (2011), 408--417.
[29]
Matthew K. Hong, Udaya Lakshmi, Thomas A. Olson, and Lauren Wilcox. 2018. Visual ODLs: Co-Designing Patient-Generated Observations of Daily Living to Support Data-Driven Conversations in Pediatric Care. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18. 1--13.
[30]
Abdelilah Jilbab, Achraf Benba, and Ahmed Hammouch. 2017. Quantification system of Parkinson's disease. International Journal of Speech Technology 20, 1 (2017), 143--150. CHI 2019, May 4--9, 2019, Glasgow, Scotland UK S.R. Mishra et al.
[31]
Mi Young Kang and Caroline Ellis-Hill. 2015. How do people live life successfully with Parkinson's disease? Journal of Clinical Nursing 24, 15--16 (2015), 2314--2322.
[32]
Ravi Karkar, Rafal Kocielnik, Xiaoyi Zhang, James Fogarty, George N Ioannou, Sean A Munson, and Jasmine Zia. 2018. Beacon: Designing a Portable Device for Self-Administering a Measure of Critical Flicker Frequency. Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 3 (2018).
[33]
Ravi Karkar, Jessica Schroeder, Daniel A Epstein, Laura R Pina, Jeffrey Scofield, James Fogarty, Julie A Kientz, Sean A Munson, Roger Vilardaga, and Jasmine Zia. 2017. TummyTrials: A Feasibility Study of Using Self-Experimentation to Detect Individualized Food Triggers. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2017). 6850--6863.
[34]
Ravi Karkar, Jasmine Zia, Roger Vilardaga, Sonali R. Mishra, James Fogarty, Sean A. Munson, and Julie A. Kientz. 2016. A framework for self-experimentation in personalized health. Journal of the American Medical Informatics Association 23, 3 (2016), 440--448.
[35]
Julie A Kientz, Rosa I Arriaga, Marshini Chetty, Gillian R Hayes, Jahmeilah Richardson, Shwetak N Patel, Gregory D Abowd, and Street Nw. 2007. Grow and Know : Understanding Record-Keeping Needs for Tracking the Development of Young Children. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '07). ACM, New York, NY, USA, 1351--1360.
[36]
Young-Ho Kim, Jae Ho Jeon, Bongshin Lee, Eun Kyoung Choe, and Jinwook Seo. 2017. OmniTrack: A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 3 (2017), 1--28.
[37]
Rashmi Lakshminarayana, Duolao Wang, David Burn, K Ray Chaudhuri, Clare Galtrey, Natalie Valle Guzman, Bruce Hellman, Ben James, Suvankar Pal, Jon Stamford, Malcolm Steiger, R W Stott, James Teo, Roger A Barker, and Emma Wang. 2016. Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson's disease. Nature Partner Journals: Parkinson's Disease May (2016), 1--8.
[38]
Richard S. Lazarus. 1993. Coping Theory and Research: Past, Present, and Future. Psychosomatic Medicine 55, 3 (1993), 234--247.
[39]
James L. Levenson, Asha Mishra, Robert M. Hamer, and Andrea Hastillo. 1989. Denial and medical outcome in unstable angina. Psychosomatic Medicine 51, 1 (1989), 27--35.
[40]
Jacki Liddle, David Ireland, Simon J. McBride, Sandra G. Brauer, Leanne M. Hall, Hang Ding, Mohan Karunanithi, Paul W. Hodges, Deborah Theodoros, Peter A. Silburn, and Helen J. Chenery. 2014. Measuring the lifespace of people with parkinson's disease using smartphones: Proof of principle. Journal of Medical Internet Research 16, 3 (2014).
[41]
Ting-Yang Lin, Chung-Hung Hsieh, and Jiann-Der Lee. 2013. A KinectBased System for Physical Rehabilitation: Utilizing Tai Chi Exercises to Improve Movement Disorders in Patients with Balance Ability. In Proceedings of the 2013 7th Asia Modelling Symposium (AMS '13). IEEE Computer Society, Washington, DC, 149--153.
[42]
Michael A. Lones, Jane E. Alty, Jeremy Cosgrove, Philippa DugganCarter, Stuart Jamieson, Rebecca F. Naylor, Andrew J. Turner, and Stephen L. Smith. 2017. A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia. Journal of Medical Systems 41, 176 (2017).
[43]
Jiaxin Ma, Kenichi Kameyama, and Makoto Nakagawa. 2017. Optimizing Gait Parameters and Insole Sensor Positioning for Parkinson's Disease Assessment. In Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2017). ACM, New York, NY, USA, 1--5.
[44]
Brigid MacCarthy and Richard Brown. 1989. Psychosocial Factors in Parkinson's Disease. British Journal of Clinical Psychology 28, 1 (1989), 41--52.
[45]
Haley MacLeod, Anthony Tang, and Sheelagh Carpendale. 2013. Personal informatics in chronic illness management. In Proceedings of Graphics Interface 2013 (GI '13). Canadian Information Processing Society, Toronto, Ontario, Canada, 149--156. http://hcitang.org/papers/ 2013-gi2013-personal-informatics.pdf
[46]
Lena Mamykina, Elizabeth M Heitkemper, Arlene M Smaldone, Rita Kukafka, Patricia G Davidson, Elizabeth D Mynatt, Andrea Cassells, N Jonathan, George Hripcsak, United States, United States, West Chester, United States, United States, and United States. 2017. Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data. Journal of Biomedical Informatics 76 (2017), 1--8.
[47]
Lena Mamykina and Andrew D. Miller. 2010. Constructing identities through storytelling in diabetes management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM, New York, NY, USA, 1203--1212.
[48]
Lena Mamykina, Elizabeth Mynatt, Patricia Davidson, and David Greenblatt. 2008. MAHI: Investigation of social scaffolding for reflective thinking in diabetes management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08). ACM, New York, NY, USA, 477--486.
[49]
C. Marras, J. C. Beck, J. H. Bower, E. Roberts, B Ritz, G. W. Ross, R. D. Abbott, R. Savica, S. K. Van Den Eeden, A. W. Willis, and CM Tanner. 2018. Prevalence of Parkinson's disease across North America. npj Parkinson's Disease 4, 1 (2018), 21.
[50]
Mark Matthews, Elizabeth Murnane, and Jaime Snyder. 2017. Quantifying the Changeable Self: The Role of Self-Tracking in Coming to Terms With and Managing Bipolar Disorder. Human-Computer Interaction 32, 5--6 (2017), 413--446.
[51]
Mark Matthews, Elizabeth Murnane, Jaime Snyder, Shion Guha, Pamara Chang, Gavin Doherty, and Geri Gay. 2017. The double-edged sword: A mixed methods study of the interplay between bipolar disorder and technology use. Computers in Human Behavior 75 (2017), 288--300.
[52]
Elina Mattila, Ilkka Korhonen, Jukka H. Salminen, Aino Ahtinen, Esa Koskinen, Antti Särelä, Juha Pärkkä, and Raimo Lappalainen. 2010. Empowering citizens for well-being and chronic disease management with wellness diary. IEEE Transactions on Information Technology in Biomedicine 14, 2 (2010), 456--463.
[53]
Sinziana Mazilu, Ulf Blanke, Daniel Roggen, Gerhard Tr, Eran Gazit, and Jeffrey H Hausdorff. 2013. Engineers Meet Clinicians: Augmented Parkinson's Disease Patients to Gather Information for Gait Rehabilitation. In 4th Augmented Human International Conference. 4.
[54]
Mollie McKillop, Lena Mamykina, and Noémie Elhadad. 2018. Designing in the Dark. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18. 1--15.
[55]
Roisin McNaney, Nick Miller, Patrick Olivier, Stephen Lindsay, Karim Ladha, Cassim Ladha, Guy Schofield, Thomas Ploetz, Nils Hammerla, Daniel Jackson, and Richard Walker. 2011. Cueing for drooling in Parkinson's disease. In Proceedings of the 2011 annual conference on Supporting Coping with Parkinson's Disease Through Self-Tracking CHI 2019, May 4--9, 2019, Glasgow, Scotland UK Human factors in computing systems - CHI '11. 619.
[56]
Roisin McNaney, Patrick Olivier, Madeline Balaam, Amey Holden, Guy Schofield, Daniel Jackson, Mary Webster, Brook Galna, Gillian Barry, and Lynn Rochester. 2015. Designing for and with People with Parkinson's. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15. 501--510.
[57]
Roisin McNaney, Mohammad Othman, Dan Richardson, Paul Dunphy, Telmo Amaral, Nick Miller, Helen Stringer, Patrick Olivier, and John Vines. 2016. Speeching: Mobile Crowdsourced Speech Assessment to Support Self-Monitoring and Management for People with Parkinson's. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 4464--4476.
[58]
Roisin McNaney, John Vines, Daniel Roggen, Madeline Balaam, Pengfei Zhang, Ivan Poliakov, and Patrick Olivier. 2014. Exploring the acceptability of google glass as an everyday assistive device for people with parkinson's. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14. 2551--2554.
[59]
Mevludin Memedi, Jerker Westin, Dag Nyholm, Mark Dougherty, and Torgny Groth. 2011. A web application for follow-up of results from a mobile device test battery for Parkinson's disease patients. Computer Methods and Programs in Biomedicine 104, 2 (2011), 219--226.
[60]
Helena M. Mentis, Anita Komlodi, Katrina Schrader, Michael Phipps, Ann Gruber-Baldini, Karen Yarbrough, and Lisa Shulman. 2017. Crafting a view of self-tracking data in the clinical visit. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 5800--5812.
[61]
National Health Service. 2016. Symptoms: Parkinson's Disease.
[62]
National Institutes of Health. 2010. Parkinson's Disease Fact Sheet. October (2010), 1--2.
[63]
Elias Chaibub Neto, Brian M. Bot, Thanneer Perumal, Larsson Omberg, Justin Guinney, Mike Kellen, Arno Klein, Stephen H. Friend, and Andrew D. Trister. 2016. Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data. Biocomputing 2016 21 (2016), 273--284.
[64]
Elias Chaibub Neto, Thanneer M Perumal, Abhishek Pratap, Brian M Bot, Lara Mangravite, and Larsson Omberg. 2017. On the analysis of personalized medication response and classification of case vs control patients in mobile health studies: the mPower case study. arXiv preprint June (2017). arXiv:1706.09574 http://arxiv.org/abs/1706.09574
[65]
Francisco Nunes, Tariq Andersen, and Geraldine Fitzpatrick. 2017. The agency of patients and carers in medical care and self-care technologies for interacting with doctors. Health Informatics Journal (2017), 146045821771205.
[66]
Francisco Nunes and Geraldine Fitzpatrick. 2015. Self-Care Technologies and Collaboration. International Journal of Human-Computer Interaction 31, 12 (2015), 869--881.
[67]
Francisco Nunes and Geraldine Fitzpatrick. 2018. Understanding the Mundane Nature of Self-care : Ethnographic Accounts of People Living with Parkinson's. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA.
[68]
Francisco Nunes, Paula Alexandra Silva, João Cevada, Ana Correia Barros, and Luís Teixeira. 2016. User interface design guidelines for smartphone applications for people with Parkinson's disease. Universal Access in the Information Society 15, 4 (2016), 659--679.
[69]
Francisco Nunes, Nervo Verdezoto, Geraldine Fitzpatrick, Morten Kyng, Erik Grönvall, and Cristiano Storni. 2015. Self-Care Technologies in HCI. ACM Transactions on Computer-Human Interaction 22, 6 (2015), 1--45.
[70]
Gennaro Pagano, Nicola Ferrara, and David J Brooks. 2016. Age at onset and Parkinson disease phenotype. Neurology 86, 15 (2016), 1--8.
[71]
Michael Quinn Patton. 2015. Qualitative Research and Evaluation Methods (4th ed.). Sage Publications, Inc., Los Angeles. 519--556 pages.
[72]
Carla Pereira, Patrícia Macedo, and Rui Neves Madeira. 2015. Mobile Integrated Assistance to Empower People Coping with Parkinson's Disease. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility - ASSETS. 409--410.
[73]
Clayton R. Pereira, Danilo R. Pereira, Francisco A. Silva, João P. Masieiro, Silke A.T. Weber, Christian Hook, and João P. Papa. 2016. A new computer vision-based approach to aid the diagnosis of Parkinson's disease. Computer Methods and Programs in Biomedicine 136 (2016), 79--88.
[74]
Laura R. Pina, Sang-Wha Sien, Teresa Ward, Jason C. Yip, Sean A. Munson, James Fogarty, and Julie A. Kientz. 2017. From personal informatics to family informatics. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17). ACM, New York, NY, USA, 2300--2315.
[75]
Tamara Pringsheim, Nathalie Jette, Alexandra Frolkis, and Thomas D L Steeves. 2014. The prevalence of Parkinson's disease: A systematic review and meta-analysis. Movement Disorders 29, 13 (2014), 1583--1590.
[76]
Stephen Purpura, Victoria Schwanda, Kaiton Williams, William Stubler, and Phoebe Sengers. 2011. Fit4life: The design of a persuasive technology promoting healthy behavior and ideal weight. In Proceedings of the 2011 annual conference on Human factors in computing systems CHI '11. 423.
[77]
Mashfiqui Rabbi, Min Hane Aung, Mi Zhang, and Tanzeem Choudhury. 2015. MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones. In In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). ACM, New York, NY, USA, 707--718.
[78]
D Ridder, Karlein Schreurs, and Jozien Bensing. 2000. The relative benefits of being optimistic: Optimism as a coping resource in multiple sclerosis and Parkinson's disease. British Journal of Health Psychology 5 (2000), 141--155.
[79]
Sara Riggare, Kenton T Unruh, Jasmine Sturr, and Josefa Domingos. 2017. Patient-driven N-of-1 in Parkinson ' s Disease. Methods of Information in Medicine 56, 99 (2017), e123--e128.
[80]
Scott C. Roesch and Bernard Weiner. 2001. A meta-analytic review of coping with illness. Journal of Psychosomatic Research 50, 4 (2001), 205--219.
[81]
Anette Schrag, Richard Dodel, Annika Spottke, Bernhard Bornschein, Uwe Siebert, and Niall P. Quinn. 2007. Rate of clinical progression in Parkinson's disease. A prospective study. Movement Disorders 22, 7 (2007), 938--945.
[82]
Jessica Schroeder, Chia-Fang Chung, Daniel A. Epstein, Ravi Karkar, Adele Parsons, Natalia Murinova, James Fogarty, and Sean A. Munson. 2018. Examining Self-Tracking by People with Migraine. Proceedings of the 2018 on Designing Interactive Systems Conference 2018 - DIS '18 (2018), 135--148. CHI 2019, May 4--9, 2019, Glasgow, Scotland UK S.R. Mishra et al.
[83]
Jessica Schroeder, Jane Hoffswell, Chia-fang Chung, James Fogarty, Sean Munson, and Jasmine Zia. 2017. Supporting patient-provider collaboration to identify individual triggers using food and symptom journals. In In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17). ACM, New York, NY, USA, 1726--1739.
[84]
Jessica Schroeder, Chelsey Wilks, Kael Rowan, Arturo Toledo, Ann Paradiso, Mary Czerwinski, Gloria Mark, and Marsha M. Linehan. 2018. Pocket Skills: A Conversational Mobile Web App To Support Dialectical Behavioral Therapy. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2018). ACM, New York, NY, USA, 1--15.
[85]
Jan Smeddinck, Sandra Siegel, and Marc Herrlich. 2013. Adaptive difficulty in exergames for Parkinson's disease patients. Graphics Interface Conference 2013 (2013), 141--148.
[86]
Kiley Sobel, Alexander Fiannaca, Jon Campbell, Harish Kulkarni, Ann Paradiso, Ed Cutrell, and Meredith Ringel Morris. 2017. Exploring the Design Space of AAC Awareness Displays. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI '17. ACM, New York, NY, USA, 2890--2903.
[87]
Jonathan Stamford, Peter Schmidt, and Karl Friedl. 2015. What Engineering Technology Could Do for Quality of Life in Parkinson's Disease: a Review of Current Needs and Opportunities. IEEE Journal of Biomedical and Health Informatics 19, 6 (2015), 1--1.
[88]
Daniel Tarsy. 2018. Device-assisted and surgical treatments for Parkinson disease. In UpToDate, Howard I. Hurtig and April F. Eichler (Eds.). Wolters Kluwer, Waltham, MA, 1--28.
[89]
Daniel Tarsy. 2018. Motor fluctuations and dyskinesia in Parkson disease. In UpToDate, Howard I. Hurtig and April F. Eichler (Eds.). Wolters Kluwer, Waltham, MA.
[90]
Daniel Tarsy. 2018. Nonpharmacologic management of Parkinson's Disease. In UpToDate, Howard I. Hurtig and April F. Eichler (Eds.). Wolters Kluwer, Waltham, MA.
[91]
Tammy Toscos, Kay Connelly, and Yvonne Rogers. 2012. Best intentions: Health Monitoring Technology and Children. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12. 1431--1440.
[92]
Julio Vega, Samuel Couth, Ellen Poliakoff, Sonja Kotz, Matthew Sullivan, Caroline Jay, Markel Vigo, and Simon Harper. 2018. Back to Analogue: Self-Reporting for Parkinson's Disease. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18. ACM, New York, NY, USA, 1--13.
[93]
Peter West, Richard Giordano, Max Van Kleek, and Nigel Shadbolt. 2016. The quantified patient in the doctor's office: Challenges & opportunities. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 3066--3078.
[94]
Peter West, Max Van Kleek, Richard Giordano, Mark J Weal, and Nigel Shadbolt. 2018. Common Barriers to the Use of Patient-Generated Data Across Clinical Settings. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18. ACM, New York, NY, USA, 1--13.
[95]
Cecilia Winberg, M. Kylberg M., C. Pettersson, T. Harnett, P-O. Hedvall, T. Mattsson, and E. Mansson Lexell. 2017. The Use of Apps for Health in Persons with Multiple Sclerosis, Parkinson's Disease and Stroke -- Barriers and Facilitators. In Harnessing the Power of Technology to Improve Lives, P. Cudd and L. de Witte (Eds.). IOS Press, 638--641.
[96]
Andong Zhan, Max A. Little, Denzil A. Harris, Solomon O. Abiola, E. Ray Dorsey, Suchi Saria, and Andreas Terzis. 2016. High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection. ArXiv e-prints (2016), 1--12. arXiv:1601.00960 http://arxiv.org/abs/1601.00960
[97]
Haining Zhu, Joanna Colgan, Madhu Reddy, and Eun Kyoung Choe. 2017. Sharing patient-generated data in clinical practices: An interview study. In American Medical Informatics Association Annual Symposium proceedings, Vol. 10. 1303--1312. http://www.ncbi.nlm.nih.gov/ /28269928{%}5Cnhttp: //www.central.nih.gov/articlerender.fcgi?artid=PMC5333267

Cited By

View all
  • (2025)Creatively Supporting Mental Wellbeing: A Tangible Toolkit to Scaffold Self-Tracking through Mindful ColouringProceedings of the Nineteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3689050.3704944(1-17)Online publication date: 4-Mar-2025
  • (2024)Exploring Patient-Generated Annotations to Digital Clinical Symptom Measures for Patient-Centered CommunicationProceedings of the ACM on Human-Computer Interaction10.1145/36869978:CSCW2(1-26)Online publication date: 8-Nov-2024
  • (2024)Stepping on the scale? Only in the morning, of course! - Exploring the Lived Experience of Consumer Self-Tracking Technology in the Context of Citizen ScienceProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685372(1-17)Online publication date: 13-Oct-2024
  • Show More Cited By

Index Terms

  1. Supporting Coping with Parkinson's Disease Through Self Tracking

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
    May 2019
    9077 pages
    ISBN:9781450359702
    DOI:10.1145/3290605
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 May 2019

    Check for updates

    Author Tags

    1. coping with chronic disease
    2. health informatics
    3. parkinson's disease
    4. personal informatics
    5. quality of life
    6. symptom tracking

    Qualifiers

    • Research-article

    Funding Sources

    • Robert Wood Johnson Foundation

    Conference

    CHI '19
    Sponsor:

    Acceptance Rates

    CHI '19 Paper Acceptance Rate 703 of 2,958 submissions, 24%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

    Upcoming Conference

    CHI 2025
    ACM CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)391
    • Downloads (Last 6 weeks)40
    Reflects downloads up to 07 Mar 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2025)Creatively Supporting Mental Wellbeing: A Tangible Toolkit to Scaffold Self-Tracking through Mindful ColouringProceedings of the Nineteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3689050.3704944(1-17)Online publication date: 4-Mar-2025
    • (2024)Exploring Patient-Generated Annotations to Digital Clinical Symptom Measures for Patient-Centered CommunicationProceedings of the ACM on Human-Computer Interaction10.1145/36869978:CSCW2(1-26)Online publication date: 8-Nov-2024
    • (2024)Stepping on the scale? Only in the morning, of course! - Exploring the Lived Experience of Consumer Self-Tracking Technology in the Context of Citizen ScienceProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685372(1-17)Online publication date: 13-Oct-2024
    • (2024)"It's Better to be Grounded in Reality": a Speculative Exploration of Patient-Centered Digital Phenotyping for Neurological ConditionsProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3688486(1-5)Online publication date: 27-Oct-2024
    • (2024)Accessibility through Awareness of Noise Sensitivity Management and Regulation PracticesProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675630(1-12)Online publication date: 27-Oct-2024
    • (2024)Exploring the Strategies People with Parkinson's Disease Use to Self-track Symptoms and MedicationsACM Transactions on Accessible Computing10.1145/364945417:1(1-21)Online publication date: 27-Feb-2024
    • (2024)Designing for Participatory Data Governance: Insights from People with Parkinson'sProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661529(541-555)Online publication date: 1-Jul-2024
    • (2024)Unpacking the Lived Experience of Collaborative Pregnancy TrackingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642652(1-17)Online publication date: 11-May-2024
    • (2024)Functional Design Requirements to Facilitate Menstrual Health Data ExplorationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642282(1-15)Online publication date: 11-May-2024
    • (2024)MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health ConditionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642075(1-19)Online publication date: 11-May-2024
    • Show More Cited By

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Login options

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media