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Citing this Article

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Published on 27.01.16 in Vol 4, No 1 (2016): Jan-Mar

This paper is in the following e-collection/theme issue:

Works citing "Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4225):

(note that this is only a small subset of citations)

  1. Panda N, Solsky I, Huang EJ, Lipsitz S, Pradarelli JC, Delisle M, Cusack JC, Gadd MA, Lubitz CC, Mullen JT, Qadan M, Smith BL, Specht M, Stephen AE, Tanabe KK, Gawande AA, Onnela J, Haynes AB. Using Smartphones to Capture Novel Recovery Metrics After Cancer Surgery. JAMA Surgery 2020;155(2):123
    CrossRef
  2. Jang J, Kim J. Healthier Life with Digital Companions: Effects of Reflection-Level and Statement-Type of Messages on Behavior Change via a Perceived Companion. International Journal of Human–Computer Interaction 2020;36(2):172
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  3. Reeder B, Chung J, Lyden K, Winters J, Jankowski CM. Older women’s perceptions of wearable and smart home activity sensors. Informatics for Health and Social Care 2020;45(1):96
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  5. Kiehl ZA, Durkee KT, Halverson KC, Christensen JC, Hellstern GF. Transforming work through human sensing: a confined space monitoring application. Structural Health Monitoring 2020;19(1):186
    CrossRef
  6. Liao J, Xiao H, Li X, Sun S, Liu S, Yang Y, Xu D. Social-Group Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers among Middle-Aged and Older Adults: A Cluster Randomized Controlled Trial (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  7. Nayak S, Guo T, Lopez-Rios J, Lentz C, Arumugam S, Hughes J, Dolezal C, Linder V, Carballo-Diéguez A, Balán IC, Sia SK. Integrating user behavior with engineering design of point-of-care diagnostic devices: theoretical framework and empirical findings. Lab on a Chip 2019;19(13):2241
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  8. Silva AG, Simões P, Santos R, Queirós A, Rocha NP, Rodrigues M. A Scale to Assess the Methodological Quality of Studies Assessing Usability of Electronic Health Products and Services: Delphi Study Followed by Validity and Reliability Testing. Journal of Medical Internet Research 2019;21(11):e14829
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  9. Swartz MC, Lewis ZH, Swartz MD, Martinez E, Lyons EJ. Brief Report: Active Ingredients for Adherence to a Tracker-Based Physical Activity Intervention in Older Adults. Journal of Applied Gerontology 2019;38(7):1023
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  10. Breteler MJ, Janssen JH, Spiering W, Kalkman CJ, van Solinge WW, Dohmen DA. Measuring Free-Living Physical Activity With Three Commercially Available Activity Monitors for Telemonitoring Purposes: Validation Study. JMIR Formative Research 2019;3(2):e11489
    CrossRef
  11. Periyaswamy T, Balasubramanian M. Ambulatory cardiac bio-signals: From mirage to clinical reality through a decade of progress. International Journal of Medical Informatics 2019;130:103928
    CrossRef
  12. Carrasco JJ, Pérez-Alenda S, Casaña J, Soria-Olivas E, Bonanad S, Querol F. Physical Activity Monitoring and Acceptance of a Commercial Activity Tracker in Adult Patients with Haemophilia. International Journal of Environmental Research and Public Health 2019;16(20):3851
    CrossRef
  13. Madigan EA. Fitness band accuracy in older community dwelling adults. Health Informatics Journal 2019;25(3):676
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  14. Heinemann M, Welker SG, Holz FG, Finger RP. Physische Aktivität bei älteren Menschen mit Augenerkrankungen. Der Ophthalmologe 2019;116(4):351
    CrossRef
  15. Janevic MR, Shute V, Murphy SL, Piette JD. Acceptability and Effects of Commercially Available Activity Trackers for Chronic Pain Management Among Older African American Adults. Pain Medicine 2019;
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  16. Hawkins J, Charles JM, Edwards M, Hallingberg B, McConnon L, Edwards RT, Jago R, Kelson M, Morgan K, Murphy S, Oliver EJ, Simpson SA, Moore G. Acceptability and Feasibility of Implementing Accelorometry-Based Activity Monitors and a Linked Web Portal in an Exercise Referral Scheme: Feasibility Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(3):e12374
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  17. Ummels D, Beekman E, Moser A, Braun SM, Beurskens AJ. Patients’ experiences with commercially available activity trackers embedded in physiotherapy treatment: a qualitative study. Disability and Rehabilitation 2019;:1
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  18. Li L, Peng W, Kononova A, Bowen M, Cotten SR. Factors Associated with Older Adults' Long-Term Use of Wearable Activity Trackers. Telemedicine and e-Health 2019;
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  19. Sharaievska I, Battista RA, Zwetsloot J. Use of Physical Activity Monitoring Devices by Families in Rural Communities: Qualitative Approach. JMIR Pediatrics and Parenting 2019;2(1):e10658
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  20. Chow H, Yang C. Accuracy of Optical Heart Rate Sensing Technology in Wearable Fitness Trackers for Young and Older Adults (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  21. Ehn M, Johansson A, Revenäs . Technology-Based Motivation Support for Seniors’ Physical Activity—A Qualitative Study on Seniors’ and Health Care Professionals’ Views. International Journal of Environmental Research and Public Health 2019;16(13):2418
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  22. Vaziri DD, Giannouli E, Frisiello A, Kaartinen N, Wieching R, Schreiber D, Wulf V. Exploring influencing factors of technology use for active and healthy ageing support in older adults. Behaviour & Information Technology 2019;:1
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  23. Haveman ME, Kleiss SF, Ma KF, Vos CG, Ünlü , Schuurmann RC, Bokkers RP, Hermens HJ, De Vries JP. Telemedicine in patients with peripheral arterial disease: is it worth the effort?. Expert Review of Medical Devices 2019;16(9):777
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  24. Kononova A, Li L, Kamp K, Bowen M, Rikard R, Cotten S, Peng W. The Use of Wearable Activity Trackers Among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change. JMIR mHealth and uHealth 2019;7(4):e9832
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  25. Liew MS, Zhang J, See J, Ong YL. Usability Challenges for Health and Wellness Mobile Apps: Mixed-Methods Study Among mHealth Experts and Consumers. JMIR mHealth and uHealth 2019;7(1):e12160
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  26. Sriram U, Sandreuter K, Graham M, Folta S, Pullyblank K, Paul L, Seguin R. Process Evaluation of Strong Hearts, Healthy Communities: A Rural Community-Based Cardiovascular Disease Prevention Program. Journal of Nutrition Education and Behavior 2019;51(2):138
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  27. Shin G, Feng Y, Jarrahi MH, Gafinowitz N. Beyond novelty effect: a mixed-methods exploration into the motivation for long-term activity tracker use. JAMIA Open 2019;2(1):62
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  28. Floegel TA, Allen KD, Buman MP. A pilot study examining activity monitor use in older adults with heart failure during and after hospitalization. Geriatric Nursing 2019;40(2):185
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  29. Somayaji D, Blok AC, Hayman LL, Colson Y, Jaklisch M, Cooley ME. Enhancing behavioral change among lung cancer survivors participating in a lifestyle risk reduction intervention: a qualitative study. Supportive Care in Cancer 2019;27(4):1299
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  30. Perry B, Geoghegan C, Lin L, McGuire FH, Nido V, Grabert B, Morin SL, Hallinan ZP, Corneli A. Patient preferences for using mobile technologies in clinical trials. Contemporary Clinical Trials Communications 2019;15:100399
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  31. Shin G, Jarrahi MH, Fei Y, Karami A, Gafinowitz N, Byun A, Lu X. Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review. Journal of Biomedical Informatics 2019;93:103153
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  32. Soliño-Fernandez D, Ding A, Bayro-Kaiser E, Ding EL. Willingness to adopt wearable devices with behavioral and economic incentives by health insurance wellness programs: results of a US cross-sectional survey with multiple consumer health vignettes. BMC Public Health 2019;19(1)
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  33. Henriksen A, Haugen Mikalsen M, Woldaregay AZ, Muzny M, Hartvigsen G, Hopstock LA, Grimsgaard S. Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables. Journal of Medical Internet Research 2018;20(3):e110
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  34. Koo SH. Design factors and preferences in wearable soft robots for movement disabilities. International Journal of Clothing Science and Technology 2018;30(4):477
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  35. Careyva BA, Hamadani R, Friel T, Coyne CA. A Social Needs Assessment Tool for an Urban Latino Population. Journal of Community Health 2018;43(1):137
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  36. Cajita MI, Hodgson NA, Lam KW, Yoo S, Han H. Facilitators of and Barriers to mHealth Adoption in Older Adults With Heart Failure. CIN: Computers, Informatics, Nursing 2018;:1
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  37. Jonkman NH, van Schooten KS, Maier AB, Pijnappels M. eHealth interventions to promote objectively measured physical activity in community-dwelling older people. Maturitas 2018;113:32
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  38. Jia Y, Wang W, Wen D, Liang L, Gao L, Lei J. Perceived user preferences and usability evaluation of mainstream wearable devices for health monitoring. PeerJ 2018;6:e5350
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  39. Müller J, Hoch A, Zoller V, Oberhoffer R. Feasibility of Physical Activity Assessment with Wearable Devices in Children Aged 4–10 Years—A Pilot Study. Frontiers in Pediatrics 2018;6
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  40. Ehn M, Eriksson LC, Åkerberg N, Johansson A. Activity Monitors as Support for Older Persons’ Physical Activity in Daily Life: Qualitative Study of the Users’ Experiences. JMIR mHealth and uHealth 2018;6(2):e34
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  41. Wiesner M, Zowalla R, Suleder J, Westers M, Pobiruchin M. Technology Adoption, Motivational Aspects, and Privacy Concerns of Wearables in the German Running Community: Field Study. JMIR mHealth and uHealth 2018;6(12):e201
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  42. Katz S, Marshall BL. Tracked and fit: FitBits, brain games, and the quantified aging body. Journal of Aging Studies 2018;45:63
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  43. Reyes-Mercado P. Adoption of fitness wearables. Journal of Systems and Information Technology 2018;20(1):103
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  44. Ridgers ND, Timperio A, Brown H, Ball K, Macfarlane S, Lai SK, Richards K, Mackintosh KA, McNarry MA, Foster M, Salmon J. Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study. JMIR mHealth and uHealth 2018;6(4):e86
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  45. Lamont RM, Daniel HL, Payne CL, Brauer SG. Accuracy of wearable physical activity trackers in people with Parkinson’s disease. Gait & Posture 2018;63:104
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  46. . Review of Wearable Device Technology and Its Applications to the Mining Industry. Energies 2018;11(3):547
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  47. von Storch K, Schlomann A, Rietz C, Polidori MC, Woopen C. Wearables zur Unterstützung des Selbstmanagements von älteren Menschen mit chronischen Erkrankungen. Zeitschrift für Gerontologie und Geriatrie 2018;51(7):791
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  48. Seifert A, Christen M, Martin M. Willingness of Older Adults to Share Mobile Health Data with Researchers. GeroPsych 2018;31(1):41
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  49. Steinert A, Haesner M, Steinhagen-Thiessen E. Activity-tracking devices for older adults: comparison and preferences. Universal Access in the Information Society 2018;17(2):411
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  50. Phillips SM, Cadmus-Bertram L, Rosenberg D, Buman MP, Lynch BM. Wearable Technology and Physical Activity in Chronic Disease: Opportunities and Challenges. American Journal of Preventive Medicine 2018;54(1):144
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  51. Delrieu L, Pérol O, Fervers B, Friedenreich C, Vallance J, Febvey-Combes O, Pérol D, Canada B, Roitmann E, Dufresne A, Bachelot T, Heudel P, Trédan O, Touillaud M, Pialoux V. A Personalized Physical Activity Program With Activity Trackers and a Mobile Phone App for Patients With Metastatic Breast Cancer: Protocol for a Single-Arm Feasibility Trial. JMIR Research Protocols 2018;7(8):e10487
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  52. Benson LC, Clermont CA, Bošnjak E, Ferber R. The use of wearable devices for walking and running gait analysis outside of the lab: A systematic review. Gait & Posture 2018;63:124
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  53. Rossi A, Frechette L, Miller D, Miller E, Friel C, Van Arsdale A, Lin J, Shankar V, Kuo DY, Nevadunsky NS. Acceptability and feasibility of a Fitbit physical activity monitor for endometrial cancer survivors. Gynecologic Oncology 2018;149(3):470
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  54. Liang J, Xian D, Liu X, Fu J, Zhang X, Tang B, Lei J. Usability Study of Mainstream Wearable Fitness Devices: Feature Analysis and System Usability Scale Evaluation. JMIR mHealth and uHealth 2018;6(11):e11066
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  55. Didžiokaitė G, Saukko P, Greiffenhagen C. The mundane experience of everyday calorie trackers: Beyond the metaphor of Quantified Self. New Media & Society 2018;20(4):1470
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  56. Dehghani A, Dehghan Nayeri N, Ebadi A. Features of Coping with Disease in Iranian Multiple Sclerosis Patients: a Qualitative Study. Journal of Caring Sciences 2018;7(1):35
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  57. Kekade S, Hseieh C, Islam MM, Atique S, Mohammed Khalfan A, Li Y, Abdul SS. The usefulness and actual use of wearable devices among the elderly population. Computer Methods and Programs in Biomedicine 2018;153:137
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  58. Falck RS, Best JR, Li LC, Chan PCY, Feehan LM, Liu-Ambrose T. Can we improve cognitive function among adults with osteoarthritis by increasing moderate-to-vigorous physical activity and reducing sedentary behaviour? Secondary analysis of the MONITOR-OA study. BMC Musculoskeletal Disorders 2018;19(1)
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  59. Naszay M, Stockinger A, Jungwirth D, Haluza D. Digital age and the Public eHealth perspective: Prevailing health app use among Austrian Internet users. Informatics for Health and Social Care 2018;43(4):390
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  60. Shingler E, Hackshaw-McGeagh L, Robles L, Persad R, Koupparis A, Rowe E, Shiridzinomwa C, Bahl A, Martin RM, Lane JA. The feasibility of the Prostate cancer: Evidence of Exercise and Nutrition Trial (PrEvENT) dietary and physical activity modifications: a qualitative study. Trials 2017;18(1)
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  61. Leth S, Hansen J, Nielsen O, Dinesen B. Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes: Results from the Future Patient Trial, Phase I. Sensors 2017;17(12):211
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  62. Hassan L, Swarbrick C, Sanders C, Parker A, Machin M, Tully MP, Ainsworth J. Tea, talk and technology: patient and public involvement to improve connected health ‘wearables’ research in dementia. Research Involvement and Engagement 2017;3(1)
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  63. Lewis ZH, Ottenbacher KJ, Fisher SR, Jennings K, Brown AF, Swartz MC, Martinez E, Lyons EJ. The feasibility and RE-AIM evaluation of the TAME health pilot study. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
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  64. Nguyen NH, Hadgraft NT, Moore MM, Rosenberg DE, Lynch C, Reeves MM, Lynch BM. A qualitative evaluation of breast cancer survivors’ acceptance of and preferences for consumer wearable technology activity trackers. Supportive Care in Cancer 2017;25(11):3375
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  65. Rodríguez I, Cajamarca G, Herskovic V, Fuentes C, Campos M. Helping Elderly Users Report Pain Levels: A Study of User Experience with Mobile and Wearable Interfaces. Mobile Information Systems 2017;2017:1
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  66. Wieringa FP, Broers NJH, Kooman JP, Van Der Sande FM, Van Hoof C. Wearable sensors: can they benefit patients with chronic kidney disease?. Expert Review of Medical Devices 2017;14(7):505
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  67. Salzwedel A, Rabe S, Zahn T, Neuwirth J, Eichler S, Haubold K, Wachholz A, Reibis R, Völler H. User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University. JMIR mHealth and uHealth 2017;5(4):e51
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  68. Puri A, Kim B, Nguyen O, Stolee P, Tung J, Lee J. User Acceptance of Wrist-Worn Activity Trackers Among Community-Dwelling Older Adults: Mixed Method Study. JMIR mHealth and uHealth 2017;5(11):e173
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4225)

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  1. Sanchez-Romero J, Jimeno-Morenilla A, Mora H, Pujol-Lopez F. Research & Innovation Forum 2019. 2019. Chapter 22:231
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  2. Schwartz M, Oppold P, Hancock PA. Critical Issues Impacting Science, Technology, Society (STS), and Our Future. 2019. chapter 7:145
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  3. Klebbe R, Steinert A, Buchem I, Müller-Werdan U. Learning and Collaboration Technologies. Ubiquitous and Virtual Environments for Learning and Collaboration. 2019. Chapter 24:312
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  4. Caldeira C, Chen Y. Perspectives on Human-Computer Interaction Research with Older People. 2019. Chapter 5:67
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  5. Ginsburg GS, Haga SB. Emery and Rimoin's Principles and Practice of Medical Genetics and Genomics. 2019. :21
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  6. Pan A, Zhao F. Human-Computer Interaction. Interaction in Context. 2018. Chapter 14:173
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  7. Tuccori M, Wallberg M. Pharmacovigilance. 2017. Chapter 17:181
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  8. Wetzels M, Liebregts J, Ayoola I, Peters P, Feijs L. Proceedings of the Conference on Design and Semantics of Form and Movement - Sense and Sensitivity, DeSForM 2017. 2017. Chapter 24
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