skip to main content
10.1145/3025453.3025947acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article
Open access

Supporting Everyday Function in Chronic Pain Using Wearable Technology

Published: 02 May 2017 Publication History

Abstract

While most rehabilitation technologies target situated exercise sessions and associated performance metrics, physiotherapists recommend physical activities that are integrated with everyday functioning. We conducted a 1-2 week home study to explore how people with chronic pain use wearable technology that senses and sonifies movement (i.e., movement mapped to sound in real-time) to do functional activity (e.g., loading the dishwasher). Our results show that real-time movement sonification led to an increased sense of control during challenging everyday tasks. Sonification calibrated to functional activity facilitated application of pain management techniques such as pacing. When calibrated to individual needs, sonification enabled serendipitous discovery of physical capabilities otherwise obscured by a focus on pain or a dysfunctional proprioceptive system. A physiotherapist was invited to comment on the implications of our findings. We conclude by discussing opportunities provided by wearable sensing technology to enable better functioning, the ultimate goal of physical rehabilitation.

Supplementary Material

suppl.mov (pn3942-file3.mp4)
Supplemental video

References

[1]
Deepti Aggarwal, Bernd Ploderer, Frank Vetere, Mark Bradford, and Thuong Hoang. 2016. Doctor, Can You See My Squats?: Understanding Body Communication in Video Consultations for Physiotherapy. Proceedings of the 2016 ACM Conference on Designing Interactive Systems (DIS'16). 1197--1208.
[2]
Ming Hane Aung, Stephan Kaltwang, Bernardino Romera-Paredes, et al. 2016. The automatic detection of chronic pain-related expression: requirements, challenges and a multimodal dataset in IEEE Trans. Affective Computing 7, 4: 435--451.
[3]
Lesley Axelrod, Geraldine Fitzpatrick, and Jane Burridge. 2009. The reality of homes fit for heroes: design challenges for rehabilitation technology at home. Journal of Assistive Technologies 3,2: 35--43.
[4]
Naveen Bagalkot and Tomas Sokoler. 2011. ReHandle: towards integrating physical rehabilitation in everyday life. CHI'11 Extended Abstracts on Human Factors in Computing Systems.
[5]
Naveen Bagalkot and Tomas Sokoler. 2012. Unboxing the tools for physical rehabilitation: embracing the difference between the clinic and home. Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design. 597--606.
[6]
Naveen Bagalkot, Tomas Sokoler, and Riyaj Shaikh. 2012. Integrating physiotherapy with everyday life. Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction 91--98.
[7]
Naveen Bagalkot, Tomas, Sokoler and Suraj Baadkar. ReRide: Performing Lower Back Rehabilitation While Riding Your Motorbike in Traffic. 2016. Proceedings of 10th EAI International Conference on Pervasive Computing Technologies for Healthcare
[8]
Madeline Balaam, Stefan Rennick Egglestone, Geraldine Fitzpatrick, et al. 2011. Motivating mobility: designing for lived motivation in stroke rehabilitation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 3073--3082). ACM.
[9]
Karlin Bark, Emily Hyman, Frank Tan, Elizabeth Cha, Steven A. Jax, Laurel J. Buxbaum, and Katherine J. Kuchenbecker. 2015. Effects of Vibrotactile Feedback on Human Learning of Arm Motions. IEEE Transactions on Neural Systems and Rehabilitation Engineering 23, 1: 51--63.
[10]
Athina Belsi, Enrica Papi, and Alison H McGregor. 2016. Impact of wearable technology on psychosocial factors of osteoarthritis management: a qualitative study. BMJ Open 6, 2: e010064.
[11]
Valerie A J Block, Erica Pitsch, Peggy Tahir, Bruce A C Cree, Diane D Allen, and Jeffrey M Gelfand. 2016. Remote Physical Activity Monitoring in Neurological Disease: A Systematic Review. PloS one 11, 4: e0154335.
[12]
Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2: 77--101.
[13]
Harald Breivik, Beverly Collett, Vittorio Ventafridda, Rob Cohen, and Derek Gallacher. 2006. Survey of chronic pain in Europe: Prevalence, impact on daily life, and treatment. European Journal of Pain 10, 4: 287--333.
[14]
Tanzeem Choudhury, Borriello Gaetano, Sunny Consolvo, Dirk Haehnel, Beverly Harrison, Bruce Hemingway, Jeffrey Hightower et al. The mobile sensing platform: An embedded activity recognition system. IEEE Pervasive Computing 7, 2: 32--41
[15]
Conrad Wall 3rd. 2010. Application of vibrotactile feedback of body motion to improve rehabilitation in individuals with imbalance. Journal of neurologic physical therapy : JNPT 34, 2: 98.
[16]
Barbara Datz-Kauffold and Shawn Lawton Henry. 2000. Waving magic wands: Interaction techniques to improve usability testing low-fidelity prototypes. Usability Professionals' Association, Asheville, NC.
[17]
Geoffrey B Duggan, Edmund Keogh, Gail A Mountain, Paul McCullagh, Jason Leake, and Christopher Eccleston. 2015. Qualitative evaluation of the SMART2 self-management system for people in chronic pain. Disability and rehabilitation. Assistive technology 10, 1: 53--60.
[18]
Sergio Felipe, Aneesha Singh, Caroline Bradley, Amanda Williams, and Nadia Berthouze. Roles for Personal Informatics in Chronic Pain. Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare. 161--168.
[19]
Robert J Gatchel, Yuan Bo Peng, Madelon L Peters, Perry N Fuchs, and Dennis C Turk. 2007. The biopsychosocial approach to chronic pain: scientific advances and future directions. Psychological bulletin 133, 4: 581--624.
[20]
Claude Ghez, R Luke Dubois, Thanassis Rikakis, and Perry R Cook. 2000. An auditory display system for aiding interjoint coordination. Proceedings of the 6th International Conference on Auditory Display (ICAD'00)
[21]
Diane Gromala, C Shaw, and M Song. 2009. Chronic pain and the modulation of self in immersive virtual reality. AAAI Fall Symposium 2009.
[22]
Erik Grönvall and Nervo Verdezoto. 2013. Beyond self-monitoring: understanding non-functional aspects of home-based healthcare technology. Proceedings of the ACM international joint conference on Pervasive and ubiquitous computing. 587--596
[23]
Vicki Harding and Paul J Watson. 2000. Increasing Activity and Improving Function in Chronic Pain Management. Physiotherapy 86, 12: 619--630
[24]
Monika I Hasenbring and Jeanine A Verbunt. 2010. Fear-avoidance and endurance-related responses to pain: new models of behavior and their consequences for clinical practice. The Clinical journal of pain 26, 9: 747--753.
[25]
Eve Hoggan, Stephen A Brewster, and Jody Johnston. 2008. Investigating the effectiveness of tactile feedback for mobile touchscreens. Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 1573--1582. ACM, 2008.
[26]
Andrew Hunt and Sandra Pauletto. 2006. The sonification of EMG data. Proceedings of the International Conference on Auditory Displays
[27]
Masaki Iguchi, Masaki Matsubara, Hideki Kadone, and Hiroko Terasawa. 2013. How is auditory EMG biofeedback effective for blind people? Proceedings of the International Conference on Auditory Displays, 307--310.
[28]
iPosture. Retrieved September 21, 2016 from http://www.iposture.com
[29]
Stephanie M Jansen-Kosterink, Rianne M H A Huis in t Veld, Christian Schönauer, et al. 2013. A Serious Exergame for Patients Suffering from Chronic Musculoskeletal Back and Neck Pain: A Pilot Study. Games for Health Journal 2, 5: 299--307.
[30]
Ru-Rong Ji, Tatsuro Kohno, Kimberly A Moore, and Clifford J Woolf. 2003. Central sensitization and LTP: do pain and memory share similar mechanisms? Trends in neurosciences 26.12. 696--705.
[31]
Rose Johnson, Nadia Bianchi-Berthouze, Yvonne Rogers, and Janet van der Linden. 2013. Embracing calibration in body sensing: using self-tweaking to enhance ownership and performance. Proceedings of the ACM international joint conference on Pervasive and ubiquitous computing. 811--820.
[32]
Evangelos Karapanos 2013. User experience over time. Modeling Users' Experiences with Interactive Systems. Springer Berlin Heidelberg, 57--83.
[33]
Agnes W K Lam, Danniel Varona-Marin, Yeti Li, Mitchell Fergenbaum, and Dana Kulić. 2015. Automated Rehabilitation System: Movement Measurement and Feedback for Patients and Physiotherapists in the Rehabilitation Clinic. Human-Computer Interaction 31, 3--4: 293--334.
[34]
A S Lee, J Cholewicki, N P Reeves, and B T Zazulak. 2010. Comparison of Trunk Proprioception Between Patients With Low Back Pain and Healthy Controls. Arch. physical medicine and rehabilitation 91.9 1327
[35]
Lumo Lift. Lumo Lift - Posture Coach & Activity Tracker. Retrieved September 21, 2016 from http://www.lumobodytech.com/lumo-lift
[36]
Temitayo A. Olugbade., Nadia Bianchi-Berthouze, Nicolai Marquardt, and Amanda Williams. 2015. Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain. Proceedings of International Conference on Affective Computing & Intelligent Interaction
[37]
James Rainville, Rob JEM Smeets, Tom Bendix, and Torill H Tveito. 2011. Fear-avoidance beliefs and pain avoidance in low back pain-translating research into clinical practice. The Spine Journal.
[38]
Giulio Rosati, Antonio Rodà, Federico Avanzini, and Stefano Masiero. 2013. On the Role of Auditory Feedback in Robot-Assisted Movement Training after Stroke: Review of the Literature. Computational Intelligence and Neuroscience. 3--4: 1--15.
[39]
Robert J Sanchez, Jiayin Liu, Sandhya Rao, et al. 2006. Automating Arm Movement Training Following Severe Stroke: Functional Exercises With Quantitative Feedback in a Gravity-Reduced Environment. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14, 3: 378--389.
[40]
Christian Schönauer, Thomas Pintaric, H Kaufmann, Stephanie Jansen Kosterink, and Miriam Vollenbroek Hutten. 2011. Chronic Pain Rehabilitation with a Serious Game using Multimodal Input. IEEE ICVR, 1-- 8.
[41]
Aneesha Singh, Annina Klapper, Jining Jia, Antonio Fidalgo, Ana Tajadura-Jimenez, Amanda Williams, Nadia Bianchi-Berthouze 2014. Motivating people with chronic pain to do physical activity: opportunities for technology design. Proceedings of the 32nd annual ACM conference on Human factors in computing systems. 2803--2812
[42]
Aneesha Singh, Stefano Piana, Davide Pollarolo, Gualtiero Volpe, Giovanna Varni, Ana TajaduraJimenez, Amanda Williams, Antonio Camurri, Nadia Bianchi-Berthouze. 2016. Go-with-the-Flow: Tracking, Analysis and Sonification of Movement and Breathing to Build Confidence in Activity Despite Chronic Pain. Human--Computer Interaction 31, 3--4: 335--383.
[43]
Janet van der Linden, Erwin Schoonderwaldt, Jon Bird, and Rose Johnson. 2011. Music Jacket-Combining Motion Capture and Vibrotactile Feedback to Teach Violin Bowing. IEEE Transactions on Instrumentation and Measurement 60, 1: 104--113.
[44]
Johan W Vlaeyen and Steven J Linton. 2000. Fear avoidance and its consequences in chronic musculoskeletal pain: a state of the art. Pain 85, 3: 317--332.
[45]
Katharina Vogt, David Pirrò, Ingo Kobenz, Robert Höldrich, and Gerhard Eckel. 2009. Physio Sonic evaluated movement sonification as auditory feedback in physiotherapy. Auditory display. Springer-Verlag 103--120
[46]
Raimundo della Volpe, T Popa, F Ginanneschi, R Spidalieri, R Mazzocchio, and A Rossi. 2006. Changes in coordination of postural control during dynamic stance in chronic low back pain patients. Gait & Posture 24, 3: 349--355.
[47]
Mathias Wellner, Audrey Schaufelberger, and Robert Riener. 2007. A Study on Sound Feedback in a Virtual Environment for Gait Rehabilitation. IEEE Virtual Rehabilitation, 53--56.
[48]
Ni Zhu, Tom Diethe, Massimo Camplani, et al. Bridging e-Health and the Internet of Things: The SPHERE Project. IEEE Intelligent Systems 30, 4: 39-- 46.
[49]
John Zimmerman, Jodi Forlizzi, and Shelley Evenson. 2007. Research through design as a method for interaction design research in HCI. Proceedings of the SIGCHI conference on Human factors in computing systems. 493--502.

Cited By

View all
  • (2024)Co-Designing Sensory Feedback for Wearables to Support Physical Activity through Body SensationsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36434998:1(1-31)Online publication date: 6-Mar-2024
  • (2024)Body Transformation: An Experiential Quality of Sensory Feedback Wearables for Altering Body PerceptionProceedings of the Eighteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3623509.3633373(1-19)Online publication date: 11-Feb-2024
  • (2024)"It's Sink or Swim": Exploring Patients' Challenges and Tool Needs for Self-Management of Postoperative Acute PainProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642916(1-11)Online publication date: 11-May-2024
  • Show More Cited By

Index Terms

  1. Supporting Everyday Function in Chronic Pain Using Wearable Technology

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
    May 2017
    7138 pages
    ISBN:9781450346559
    DOI:10.1145/3025453
    This work is licensed under a Creative Commons Attribution International 4.0 License.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 May 2017

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. chronic pain
    2. everyday function
    3. feedback
    4. home rehabilitation
    5. sonification
    6. ubiquitous technology.
    7. wearables

    Qualifiers

    • Research-article

    Funding Sources

    • EPSRC

    Conference

    CHI '17
    Sponsor:

    Acceptance Rates

    CHI '17 Paper Acceptance Rate 600 of 2,400 submissions, 25%;
    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)268
    • Downloads (Last 6 weeks)43
    Reflects downloads up to 30 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Co-Designing Sensory Feedback for Wearables to Support Physical Activity through Body SensationsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36434998:1(1-31)Online publication date: 6-Mar-2024
    • (2024)Body Transformation: An Experiential Quality of Sensory Feedback Wearables for Altering Body PerceptionProceedings of the Eighteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3623509.3633373(1-19)Online publication date: 11-Feb-2024
    • (2024)"It's Sink or Swim": Exploring Patients' Challenges and Tool Needs for Self-Management of Postoperative Acute PainProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642916(1-11)Online publication date: 11-May-2024
    • (2024)Critiquing Menstrual Pain Technologies through the Lens of Feminist Disability StudiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642691(1-15)Online publication date: 11-May-2024
    • (2024)SoniWeight Shoes: Investigating Effects and Personalization of a Wearable Sound Device for Altering Body Perception and BehaviorProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642651(1-20)Online publication date: 11-May-2024
    • (2024)Movement Representation Learning for Pain Level ClassificationIEEE Transactions on Affective Computing10.1109/TAFFC.2023.333452215:3(1303-1314)Online publication date: Jul-2024
    • (2023)The impact of analgesic on EMG and other biosignals in a postoperative settingFrontiers in Medicine10.3389/fmed.2023.103815410Online publication date: 15-Mar-2023
    • (2023)Intercorporeal Biofeedback for Movement LearningACM Transactions on Computer-Human Interaction10.1145/358242830:3(1-40)Online publication date: 10-Jun-2023
    • (2023)“A Switch Went off in my Whole Body”: Lived Experiences of Fatigue and Post-Exertional Malaise in Long CovidExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585846(1-7)Online publication date: 19-Apr-2023
    • (2023)Breaking the “Inescapable” Cycle of Pain: Supporting Wheelchair Users’ Upper Extremity Health Awareness and Management with Tracking TechnologiesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580660(1-17)Online publication date: 19-Apr-2023
    • Show More Cited By

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media