Abstract
Telerehabilitation technology has the potential to support the work of patients and clinicians by collecting and displaying patients' data to inform, motivate, and support decision-making. However, few studies have investigated data-driven practices in telerehabilitation. In this qualitative study, we conducted interviews and a focus group with the use of data visualization probes to investigate the experience of stroke survivors and healthcare providers with game-based telerehabilitation involving physical and occupational therapy. We find that \hlstudy participants saw potential value in the data to support their work. However, they experienced challenges when interpreting data to arrive at meaningful insights and actionable information. Further, patients' personal relationships with their goals and data stand in contrast with clinicians' more matter-of-fact perspectives. Informed by these results, we discuss implications for telerehabilitation technology design.
- Jan-Henk Annema, Mathijs Verstraete, Vero Vanden Abeele, Stef Desmet, and David Geerts. 2013. Video games in therapy: a therapist's perspective. International Journal of Arts and Technology, Vol. 6, 1 (2013), 106--122.Google Scholar
Cross Ref
- April W Armstrong, Alice J Watson, Maryanne Makredes, Jason E Frangos, Alexandra B Kimball, and Joseph C Kvedar. 2009. Text-message reminders to improve sunscreen use: a randomized, controlled trial using electronic monitoring. Archives of dermatology, Vol. 145, 11 (2009), 1230--1236.Google Scholar
Cross Ref
- Mobolaji Ayoade and Lynne Baillie. 2014. A novel knee rehabilitation system for the home. In Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 2521--2530.Google Scholar
Digital Library
- Andrea M Barbarin, Laura R Saslow, Mark S Ackerman, and Tiffany C Veinot. 2018. Toward Health Information Technology that Supports Overweight/Obese Women in Addressing Emotion-and Stress-Related Eating. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 321.Google Scholar
Digital Library
- Gay Becker and Sharon R Kaufman. 1995. Managing an uncertain illness trajectory in old age: patients' and physicians' views of stroke. Medical anthropology quarterly, Vol. 9, 2 (1995), 165--187.Google Scholar
- Alberto Belmonte-Hernández, Thomas Theodoridis, Marta Burgos González, Gustavo Hernández-Pe naloza, Vassilios Solachidis, Jennifer Jiménez Ramos, Federico Álvarez, Nicholas Vretos, Laura Carrasco, and Petros Daras. 2019. A novel framework for physical therapy rehabilitation monitoring and assessment in Parkinson disease patients using depth information. In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments. ACM, 535--539.Google Scholar
Digital Library
- Mona Bendz. 2003. The first year of rehabilitation after a stroke--from two perspectives. Scandinavian journal of caring sciences, Vol. 17, 3 (2003), 215--222.Google Scholar
- Emelia J Benjamin, Salim S Virani, Clifton W Callaway, Alanna M Chamberlain, Alexander R Chang, Susan Cheng, Stephanie E Chiuve, Mary Cushman, Francesca N Delling, Rajat Deo, et almbox. 2018. Heart disease and stroke statistics-2018 update: a report from the American Heart Association. Circulation, Vol. 137, 12 (2018), e67.Google Scholar
Cross Ref
- Julie Bernhardt, Kathryn S Hayward, Gert Kwakkel, Nick S Ward, Steven L Wolf, Karen Borschmann, John W Krakauer, Lara A Boyd, S Thomas Carmichael, Dale Corbett, et almbox. 2017. Agreed definitions and a shared vision for new standards in stroke recovery research: the stroke recovery and rehabilitation roundtable taskforce. International Journal of Stroke, Vol. 12, 5 (2017), 444--450.Google Scholar
Cross Ref
- Philip Burnard. 1991. A method of analysing interview transcripts in qualitative research. Nurse education today, Vol. 11, 6 (1991), 461--466.Google Scholar
- Clara Caldeira, Matthew Bietz, Marisol Vidauri, and Yunan Chen. 2017. Senior Care for Aging in Place. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW textquotesingle17. ACM Press. DOI: https://doi.org/10.1145/2998181.2998206.Google Scholar
Digital Library
- Hitee Chandra, Ian Oakley, and Hugo Silva. 2012. User needs in the performance of prescribed home exercise therapy. In CHI'12 Extended Abstracts on Human Factors in Computing Systems. 2369--2374.Google Scholar
Digital Library
- Yu Chen, Kingsley Travis Abel, John T Janecek, Yunan Chen, Kai Zheng, and Steven C Cramer. 2018. Home-based technologies for stroke rehabilitation: A systematic review. International journal of medical informatics (2018).Google Scholar
- 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 AMIA Annual Symposium Proceedings, Vol. 2013. American Medical Informatics Association, 825.Google Scholar
- 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. ACM, 770--786.Google Scholar
Digital Library
- Philippa J Clarke, SANDRA E BLACK, ELIZABETH M BADLEY, JOANNE M LAWRENCE, and J IVAN WILLIAMS. 1999. Handicap in stroke survivors. Disability and rehabilitation, Vol. 21, 3 (1999), 116--123.Google Scholar
- David J Cook, Jeffrey E Thompson, Sharon K Prinsen, Joseph A Dearani, and Claude Deschamps. 2013. Functional recovery in the elderly after major surgery: assessment of mobility recovery using wireless technology. The Annals of thoracic surgery, Vol. 96, 3 (2013), 1057--1061.Google Scholar
Cross Ref
- Juliet Corbin and Anselm Strauss. 1985. Managing chronic illness at home: three lines of work. Qualitative sociology, Vol. 8, 3 (1985), 224--247.Google Scholar
- Juliet M Corbin. 1998. The Corbin and Strauss chronic illness trajectory model: an update. Research and Theory for Nursing Practice, Vol. 12, 1 (1998), 33.Google Scholar
- Mayara Costa Figueiredo, H Irene Su, and Yunan Chen. 2020. Using Data to Approach the Unknown: Patients' and Healthcare Providers' Data Practices in Fertility Challenges. Proceedings of the ACM on Human-Computer Interaction CSCW (2020), 32.Google Scholar
- Steven C Cramer, Lucy Dodakian, Vu Le, Jill See, Renee Augsburger, Alison McKenzie, Robert J Zhou, Nina L Chiu, Jutta Heckhausen, Jessica M Cassidy, et almbox. 2019. Efficacy of Home-Based Telerehabilitation vs In-Clinic Therapy for Adults After Stroke: A Randomized Clinical Trial. JAMA neurology (2019).Google Scholar
- Judith E Deutsch, Megan Borbely, Jenny Filler, Karen Huhn, and Phyllis Guarrera-Bowlby. 2008. Use of a low-cost, commercially available gaming console (Wii) for rehabilitation of an adolescent with cerebral palsy. Physical therapy, Vol. 88, 10 (2008), 1196--1207.Google Scholar
- Judith E Deutsch, Arielle Brettler, Caroline Smith, Jamie Welsh, Roshan John, Phyllis Guarrera-Bowlby, and Michal Kafri. 2011. Nintendo wii sports and wii fit game analysis, validation, and application to stroke rehabilitation. Topics in stroke rehabilitation, Vol. 18, 6 (2011), 701--719.Google Scholar
- Gerardo Luis Dimaguila, Kathleen Gray, and Mark Merolli. 2018. Person-Generated health data in simulated rehabilitation using Kinect for stroke: literature review. JMIR rehabilitation and assistive technologies, Vol. 5, 1 (2018), e11.Google Scholar
- Gerardo Luis Dimaguila, Kathleen Gray, and Mark Merolli. 2020. Enabling Better Use of Person-Generated Health Data in Stroke Rehabilitation Systems: Systematic Development of Design Heuristics. Journal of Medical Internet Research, Vol. 22, 7 (2020), e17132.Google Scholar
Cross Ref
- George Dowswell, John Lawler, Therese Dowswell, John Young, Anne Forster, and Jeff Hearn. 2000. Investigating recovery from stroke: a qualitative study. Journal of clinical nursing, Vol. 9, 4 (2000), 507--515.Google Scholar
Cross Ref
- Carmen Egido. 1988. Video conferencing as a technology to support group work: a review of its failures. In Proceedings of the 1988 ACM conference on Computer-supported cooperative work. 13--24.Google Scholar
Digital Library
- Daniel Epstein, Felicia Cordeiro, Elizabeth Bales, James Fogarty, and Sean Munson. 2014. Taming data complexity in lifelogs: exploring visual cuts of personal informatics data. In Proceedings of the 2014 conference on Designing interactive systems. ACM, 667--676.Google Scholar
Digital Library
- Daniel A Epstein, Bradley H Jacobson, Elizabeth Bales, David W McDonald, and Sean A Munson. 2015. From nobody cares to way to go!: A Design Framework for Social Sharing in Personal Informatics. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. ACM, 1622--1636.Google Scholar
Digital Library
- Heather A Faucett, Matthew L Lee, and Scott Carter. 2017. I Should Listen More: Real-time Sensing and Feedback of Non-Verbal Communication in Video Telehealth. Proceedings of the ACM on Human-Computer Interaction, Vol. 1, CSCW (2017), 1--19.Google Scholar
Digital Library
- Mayara Costa Figueiredo, Yunan Chen, et almbox. 2020. Patient-Generated Health Data: Dimensions, Challenges, and Open Questions. Foundations and Trends® in Human-Computer Interaction, Vol. 13, 3 (2020), 165--297.Google Scholar
- Geraldine Fitzpatrick and Gunnar Ellingsen. 2013. A review of 25 years of CSCW research in healthcare: contributions, challenges and future agendas. Computer Supported Cooperative Work (CSCW), Vol. 22, 4--6 (2013), 609--665.Google Scholar
Digital Library
- Rosella P Galindo Esparza, Patrick GT Healey, Lois Weaver, and Matthew Delbridge. 2019. Embodied Imagination: An Approach to Stroke Recovery Combining Participatory Performance and Interactive Technology. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1--12.Google Scholar
Digital Library
- Glen E Gresham, William B Stason, and Pamela W Duncan. 2004. Post-stroke rehabilitation. Vol. 95. Diane Publishing.Google Scholar
- Erik Grönvall and Nervo Verdezoto. 2013. Understanding challenges and opportunities of preventive blood pressure self-monitoring at home. In Proceedings of the 31st European Conference on Cognitive Ergonomics. ACM, 31.Google Scholar
Digital Library
- A Gupta, T Heng, C Shaw, D Gromala, J Leese, and L Li. 2020. "Oh, I didn't do a good job": How objective data affects physiotherapist--patient conversations for arthritis patients. In Proceedings of IEEE Pervasive Health Conference.Google Scholar
Digital Library
- Thora B Hafsteinsdottir and Mieke Grypdonck. 1997. Being a stroke patient: a review of the literature. Journal of Advanced Nursing, Vol. 26, 3 (1997), 580--588.Google Scholar
Cross Ref
- Juan Haladjian, Zardosht Hodaie, Han Xu, Mertcan Yigin, Bernd Bruegge, Markus Fink, and Juergen Hoeher. 2015. KneeHapp: a bandage for rehabilitation of knee injuries. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers. ACM, 181--184.Google Scholar
Digital Library
- Juan Haladjian, Constantin Scheuermann, Katharina Bredies, and Bernd Bruegge. 2017. A smart textile sleeve for rehabilitation of knee injuries. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. ACM, 49--52.Google Scholar
Digital Library
- Kevin Huang, Patrick J Sparto, Sara Kiesler, Asim Smailagic, Jennifer Mankoff, and Dan Siewiorek. 2014. A technology probe of wearable in-home computer-assisted physical therapy. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2541--2550.Google Scholar
Digital Library
- Tom Jenkins, Anna Vallgårda, Laurens Boer, Sarah Homewood, and Teresa Almeida. 2019. Careful Devices. In Proceedings of the Halfway to the Future Symposium 2019. ACM, 30.Google Scholar
- Loh Yong Joo, Tjan Soon Yin, Donald Xu, Ernest Thia, Pei Fen Chia, Christopher Wee Keong Kuah, and Kong Keng He. 2010. A feasibility study using interactive commercial off-the-shelf computer gaming in upper limb rehabilitation in patients after stroke. Journal of rehabilitation medicine, Vol. 42, 5 (2010), 437--441.Google Scholar
Cross Ref
- Dahlia Kairy, Pascale Lehoux, Claude Vincent, and Martha Visintin. 2009. A systematic review of clinical outcomes, clinical process, healthcare utilization and costs associated with telerehabilitation. Disability and rehabilitation, Vol. 31, 6 (2009), 427--447.Google Scholar
- Sharon Kaufman. 1988. Illness, biography, and the interpretation of self following a stroke. Journal of Aging Studies, Vol. 2, 3 (1988), 217--227.Google Scholar
Cross Ref
- Yoojung Kim, Eunyoung Heo, Hyunjeong Lee, Sookyoung Ji, Jueun Choi, Jeong-Whun Kim, Joongseek Lee, and Sooyoung Yoo. 2017. Prescribing 10,000 steps like aspirin: designing a novel interface for data-driven medical consultations. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 5787--5799.Google Scholar
Digital Library
- Yoojung Kim, Hee-Tae Jung, Joonwoo Park, Yangsoo Kim, Nathan Ramasarma, Paolo Bonato, Eun Kyoung Choe, and Sunghoon Ivan Lee. 2019. Towards the Design of a Ring Sensor-based mHealth System to Achieve Optimal Motor Function in Stroke Survivors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 3, 4 (2019), 1--26.Google Scholar
Digital Library
- Oliver Korn and Stefan Tietz. 2017. Strategies for playful design when gamifying rehabilitation: a study on user experience. In Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments. ACM, 209--214.Google Scholar
Digital Library
- Catherine E Lang, Jillian R MacDonald, Darcy S Reisman, Lara Boyd, Teresa Jacobson Kimberley, Sheila M Schindler-Ivens, T George Hornby, Sandy A Ross, and Patricia L Scheets. 2009. Observation of amounts of movement practice provided during stroke rehabilitation. Archives of physical medicine and rehabilitation, Vol. 90, 10 (2009), 1692--1698.Google Scholar
- Peter Langhorne, Julie Bernhardt, and Gert Kwakkel. 2011. Stroke rehabilitation. The Lancet, Vol. 377, 9778 (2011), 1693--1702.Google Scholar
Cross Ref
- Michael Lawo and Peter Knackfuß. 2018. Clinical Rehabilitation Experience Utilizing Serious Games. Springer.Google Scholar
- Ian Li. 2009. Designing personal informatics applications and tools that facilitate monitoring of behaviors. UIST 2009 (2009).Google Scholar
- Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A stage-based model of personal informatics systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 557--566.Google Scholar
Digital Library
- Stina Lou, Kathrine Carstensen, Carina Rumpelthiin Jørgensen, and Camilla Palmhøj Nielsen. 2017. Stroke patients' and informal carers' experiences with life after stroke: an overview of qualitative systematic reviews. Disability and rehabilitation, Vol. 39, 3 (2017), 301--313.Google Scholar
- M Madsen, JS Oslen, S Wagner, and MK Pedersen. 2014. Challenges in applying standard telemedicine solutions in the home of type 2 diabetics. In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare. ICST (Institute for Computer Sciences, Social-Informatics and ?, 214--217.Google Scholar
- Virgil Mathiowetz, Gloria Volland, Nancy Kashman, and Karen Weber. 1985. Adult norms for the Box and Block Test of manual dexterity. American Journal of Occupational Therapy, Vol. 39, 6 (1985), 386--391.Google Scholar
Cross Ref
- Nancy E Mayo, Sharon Wood-Dauphinee, Liam Durcan, and Joseph Carlton. 2002. Activity, participation, and quality of life 6 months poststroke. Archives of physical medicine and rehabilitation, Vol. 83, 8 (2002), 1035--1042.Google Scholar
- Christine Megard, Sylvain Bouchigny, Antoine Martin, Rafik Goulamhoussen, Lucile Bertholier, Pierre Foulon, Samuel Pouplin, Celine Bonnyaud, Nicolas Roche, Axelle Gelineau, et almbox. 2019. Ergotact: including force-based activities into post-stroke rehabilitation. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, LBW1811.Google Scholar
Digital Library
- 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. ACM, 5800--5812.Google Scholar
Digital Library
- Sonali R Mishra, Predrag Klasnja, John MacDuffie Woodburn, Eric B Hekler, Larsson Omberg, Michael Kellen, and Lara Mangravite. 2019. Supporting Coping with Parkinson's Disease Through Self Tracking. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 107.Google Scholar
Digital Library
- Kieran Moran, Haolin Wei, David Monaghan, Catherine Woods, Noel E O'Connor, Dimitrios Zarpalas, Anargyros Chatzitofis, Petros Daras, Jens Piesk, and Andrew Pomazanskyi. 2016. A Demonstration of the PATHway System for Technology-enabled Exercise-based Cardiac Rehabilitation. (2016).Google Scholar
- Elizabeth L Murnane, Tara G Walker, Beck Tench, Stephen Voida, and Jaime Snyder. 2018. Personal informatics in interpersonal contexts: towards the design of technology that supports the social ecologies of long-term mental health management. Proceedings of the ACM on Human-Computer Interaction, Vol. 2, CSCW (2018), 1--27.Google Scholar
Digital Library
- Dawn Nafus and Jamie Sherman. 2014. Big data, big questions| this one does not go up to 11: the quantified self movement as an alternative big data practice. International journal of communication, Vol. 8 (2014), 11.Google Scholar
- Gina Neff and Dawn Nafus. 2016. Self-tracking. MIT Press.Google Scholar
- 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. ACM, 402.Google Scholar
Digital Library
- World Health Organization. 2019. Rehabilitation. https://www.who.int/news-room/fact-sheets/detail/rehabilitation Retrieved October 11, 2020 fromGoogle Scholar
- Rita Orji and Karyn Moffatt. 2016. Persuasive technology for health and wellness: State-of-the-art and emerging trends. Health informatics journal (2016), 1460458216650979.Google Scholar
- Susan B O'Sullivan, Thomas J Schmitz, and George Fulk. 2019. Physical rehabilitation. FA Davis.Google Scholar
- Jeni Paay, Jesper Kjeldskov, Mikael B Skov, Lars Lichon, and Stephan Rasmussen. 2015. Understanding individual differences for tailored smoking cessation apps. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 1699--1708.Google Scholar
Digital Library
- Jack Parker, Susan Mawson, Gail Mountain, Nasrin Nasr, and Huiru Zheng. 2014. Stroke patients' utilisation of extrinsic feedback from computer-based technology in the home: a multiple case study realistic evaluation. BMC medical informatics and decision making, Vol. 14, 1 (2014), 46.Google Scholar
- Hanne Peoples, Ton Satink, and Esther Steultjens. 2011. Stroke survivors' experiences of rehabilitation: a systematic review of qualitative studies. Scandinavian Journal of Occupational Therapy, Vol. 18, 3 (2011), 163--171.Google Scholar
Cross Ref
- Alessandro Peretti, Francesco Amenta, Seyed Khosrow Tayebati, Giulio Nittari, and Syed Sarosh Mahdi. 2017. Telerehabilitation: Review of the State-of-the-Art and Areas of Application. JMIR rehabilitation and assistive technologies, Vol. 4, 2 (2017), e7.Google Scholar
- Michelle Pickrell, Elise Van Den Hoven, and Bert Bongers. 2017. Exploring in-hospital rehabilitation exercises for stroke patients: informing interaction design. In Proceedings of the 29th Australian Conference on Computer-Human Interaction. 228--237.Google Scholar
Digital Library
- Dominika M Pindus, Ricky Mullis, Lisa Lim, Ian Wellwood, A Viona Rundell, Noor Azah Abd Aziz, and Jonathan Mant. 2018. Stroke survivors' and informal caregivers' experiences of primary care and community healthcare services--a systematic review and meta-ethnography. PLoS One, Vol. 13, 2 (2018), e0192533.Google Scholar
- Bernd Ploderer, Justin Fong, Anusha Withana, Marlena Klaic, Siddharth Nair, Vincent Crocher, Frank Vetere, and Suranga Nanayakkara. 2016. ArmSleeve: a Patient Monitoring System to Support Occupational Therapists in Stroke Rehabilitation. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems. ACM, 700--711.Google Scholar
Digital Library
- Bernd Ploderer, Jonathon Stuart, Vivian Tran, Theresa L Green, and Jennifer Muller. 2017. The transition of stroke survivors from hospital to home: understanding work and design opportunities. In Proceedings of the 29th Australian Conference on Computer-Human Interaction. ACM, 1--9.Google Scholar
Digital Library
- Ari H Pollack, Uba Backonja, Andrew D Miller, Sonali R Mishra, Maher Khelifi, Logan Kendall, and Wanda Pratt. 2016. Closing the Gap: Supporting Patients' Transition to Self-Management after Hospitalization. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 5324--5336.Google Scholar
Digital Library
- Jo ao Pedro Proencc a, Cláudia Quaresma, and Pedro Vieira. 2018. Serious games for upper limb rehabilitation: a systematic review. Disability and Rehabilitation: Assistive Technology, Vol. 13, 1 (2018), 95--100.Google Scholar
Cross Ref
- Shriti Raj, Joyce M Lee, Ashley Garrity, and Mark W Newman. 2019. Clinical Data in Context: Towards Sensemaking Tools for Interpreting Personal Health Data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 3, 1 (2019), 22.Google Scholar
Digital Library
- Shriti Raj, Mark W Newman, Joyce M Lee, and Mark S Ackerman. 2017. Understanding Individual and Collaborative Problem-Solving with Patient-Generated Data: Challenges and Opportunities. Proceedings of the ACM on Human-Computer Interaction, Vol. 1, CSCW (2017), 88.Google Scholar
Digital Library
- Timothy E Roden, Rob LeGrand, Raul Fernandez, Jacqueline Brown, James Ed Deaton, and Johnny Ross. 2014. Development of a smart insole tracking system for physical therapy and athletics. In Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments. ACM, 40.Google Scholar
Digital Library
- John Rooksby, Mattias Rost, Alistair Morrison, and Matthew Chalmers Chalmers. 2014. Personal tracking as lived informatics. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems. ACM, 1163--1172.Google Scholar
Digital Library
- Katherine Salter, Chelsea Hellings, Norine Foley, and Robert Teasell. 2008. The experience of living with stroke: a qualitative meta-synthesis. Journal of rehabilitation medicine, Vol. 40, 8 (2008), 595--602.Google Scholar
Cross Ref
- Patrick C Sanger, Andrea Hartzler, Ross J Lordon, Cheryl AL Armstrong, William B Lober, Heather L Evans, and Wanda Pratt. 2016. A patient-centered system in a provider-centered world: challenges of incorporating post-discharge wound data into practice. Journal of the American Medical Informatics Association, Vol. 23, 3 (2016), 514--525.Google Scholar
Cross Ref
- Gustavo Saposnik, Robert Teasell, Muhammad Mamdani, Judith Hall, William McIlroy, Donna Cheung, Kevin E Thorpe, Leonardo G Cohen, and Mark Bayley. 2010. Effectiveness of virtual reality using Wii gaming technology in stroke rehabilitation: a pilot randomized clinical trial and proof of principle. Stroke, Vol. 41, 7 (2010), 1477--1484.Google Scholar
Cross Ref
- 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 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. 1726--1739.Google Scholar
Digital Library
- Jill See, Lucy Dodakian, Cathy Chou, Vicky Chan, Alison McKenzie, David J Reinkensmeyer, and Steven C Cramer. 2013. A standardized approach to the Fugl-Meyer assessment and its implications for clinical trials. Neurorehabilitation and neural repair, Vol. 27, 8 (2013), 732--741.Google Scholar
- Ameneh Shamekhi, Ha Trinh, Timothy W Bickmore, Tamara R DeAngelis, Theresa Ellis, Bethlyn V Houlihan, and Nancy K Latham. 2016. A virtual self-care coach for individuals with spinal cord injury. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility. 327--328.Google Scholar
Digital Library
- Inês Santos Silva, Jo ao Guerreiro, Marlene Rosa, Joana Campos, Augusto Gil Pascoal, Sofia Pinto, and Hugo Nicolau. 2020. Investigating the Opportunities for Technologies to Enhance QoL with Stroke Survivors and their Families. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1--11.Google Scholar
Digital Library
- Anselm Strauss and Juliet Corbin. 1998. Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage Publications, Inc.Google Scholar
- Richard Tang, Xing-Dong Yang, Scott Bateman, Joaquim Jorge, and Anthony Tang. 2015. Physio@ Home: Exploring visual guidance and feedback techniques for physiotherapy exercises. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 4123--4132.Google Scholar
Digital Library
- Tina Taule, Liv Inger Strand, Jan Sture Skouen, and Målfrid Råheim. 2015. Striving for a life worth living: stroke survivors' experiences of home rehabilitation. Scandinavian journal of caring sciences, Vol. 29, 4 (2015), 651--661.Google Scholar
- Madoka Toriumi, Yuta Sugiura, and Koji Fujita. 2019. An application for wrist rehabilitation using smartphones. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services. ACM, 65.Google Scholar
Digital Library
- Madoka Toriumi, Takuro Watanabe, Koji Fujita, Akimoto Nimura, and Yuta Sugiura. 2018. Rehabilitation support system for patients with carpal tunnel syndrome using smartphone. In Proceedings of the 30th Australian Conference on Computer-Human Interaction. ACM, 532--534.Google Scholar
Digital Library
- Christopher C Tsai, Gunny Lee, Fred Raab, Gregory J Norman, Timothy Sohn, William G Griswold, and Kevin Patrick. 2007. Usability and feasibility of PmEB: a mobile phone application for monitoring real time caloric balance. Mobile networks and applications, Vol. 12, 2--3 (2007), 173--184.Google Scholar
- Paulette M Van Vliet and Gabriele Wulf. 2006. Extrinsic feedback for motor learning after stroke: what is the evidence? Disability and rehabilitation, Vol. 28, 13--14 (2006), 831--840.Google Scholar
Cross Ref
- Pan Wang, Gerald Choon-Huat Koh, Christian Gilles Boucharenc, and Ching-Chiuan Yen. 2017. Designing Two-player Competitive Games for the Rehabilitation of Upper-Limb Motor Function after Stroke. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2201--2209.Google Scholar
Digital Library
- 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. ACM, 484.Google Scholar
Digital Library
- Carolee J Winstein. 1991. Knowledge of results and motor learning-implications for physical therapy. Physical therapy, Vol. 71, 2 (1991), 140--149.Google Scholar
- Carolee J Winstein, Joel Stein, Ross Arena, Barbara Bates, Leora R Cherney, Steven C Cramer, Frank Deruyter, Janice J Eng, Beth Fisher, Richard L Harvey, et almbox. 2016. Guidelines for adult stroke rehabilitation and recovery: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke, Vol. 47, 6 (2016), e98--e169.Google Scholar
Cross Ref
- Haining Zhu, Joanna Colgan, Madhu Reddy, and Eun Kyoung Choe. 2016. Sharing patient-generated data in clinical practices: an interview study. In AMIA Annual Symposium Proceedings, Vol. 2016. American Medical Informatics Association, 1303.Google Scholar
- Daniel K Zondervan, Nizan Friedman, Enoch Chang, Xing Zhao, Renee Augsburger, David J Reinkensmeyer, and Steven C Cramer. 2016. Home-based hand rehabilitation after chronic stroke: Randomized, controlled single-blind trial comparing the MusicGlove with a conventional exercise program. Journal of Rehabilitation Research & Development, Vol. 53, 4 (2016).Google Scholar
Cross Ref
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Towards Supporting Data-Driven Practices in Stroke Telerehabilitation Technology
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