775
Views
24
CrossRef citations to date
0
Altmetric
Original Articles

Older women’s perceptions of wearable and smart home activity sensors

, , , &

References

  • United Nations Department of Economic and Social Affairs Population Division. World Population Ageing; 2015. 2015 3/21/2016; Report No.: (ST/ESA/SER.A/390).
  • He W, Goodkind D, Kowal PR. An aging world: 2015. United States Census Bureau; 2016.
  • Looker AC, Melton LJ 3rd, Harris TB, Borrud LG, Shepherd JA. Prevalence and trends in low femur bone density among older US adults: NHANES 2005–2006 compared with NHANES III. J Bone Miner Res. 2010 PubMed PMID: 19580459. Pubmed Central PMCID: 3312738;25(1):64–71. doi:10.1359/jbmr.090706.
  • Cheung VH, Gray L, Karunanithi M. Review of accelerometry for determining daily activity among elderly patients. Arch Phys Med Rehabil. 2011;92(6):998–1014. doi:10.1016/j.apmr.2010.12.040.
  • Lyden K, Sk K, Staudenmayer J, Freedson PS. A method to estimate free-living active and sedentary behavior from an accelerometer. Med Sci Sports Exerc. 2014;46(2):386–97. doi:10.1249/MSS.0b013e3182a42a2d. PubMed PMID: 23860415. Pubmed Central PMCID: PMC4527685. Epub 2013/ 07/19.eng.
  • Reeder B, Meyer E, Lazar A, Chaudhuri S, Thompson HJ, Demiris G. Framing the evidence for health smart homes and home-based consumer health technologies as a public health intervention for independent aging: a systematic review. Int J Med Inform. 2013 Pubmed Central PMCID: PMID: 23639263, PMCID: PMC3740158;82(7):565–79. doi:10.1016/j.ijmedinf.2013.03.007.
  • Liu L, Stroulia E, Nikolaidis I, Miguel-Cruz A, Rios Rincon A. Smart homes and home health monitoring technologies for older adults: a systematic review. Int J Med Inform. 2016;91:44–59. doi:10.1016/j.ijmedinf.2016.04.007.
  • Taraldsen K, Chastin SFM, Riphagen II, Vereijken B, Helbostad JL. Physical activity monitoring by use of accelerometer-based body-worn sensors in older adults: a systematic literature review of current knowledge and applications. Maturitas. 2012;71(1):13–19. doi:10.1016/j.maturitas.2011.11.003.
  • Tully MA, McBride C, Heron L, Hunter RF. The validation of Fibit Zip physical activity monitor as a measure of free-living physical activity. BMC Res Notes. 2014;7:952. doi:10.1186/1756-0500-7-952. PubMed PMID: 25539733. Pubmed Central PMCID: 4307145. Epub 2014/12/30.eng.
  • Rawassizadeh R, Price BA, Wearables: PM. Has the age of smartwatches finally arrived? Commun ACM. 2015;58(1):45–47. doi:10.1145/2629633.
  • Lu T-C, Fu C-M, Ma M-M, Fang C-C, Turner AM. Healthcare applications of smart watches. Appl Clin Inform. 2016;7(3):850–69. doi:10.4338/ACI-2016-03-R-0042.
  • Reeder B, David A. Health at hand: a systematic review of smart watch uses for health and wellness. J Biomed Inform. 2016;63:269–76.
  • Bai Y, Welk GJ, Nam YH, Lee JA, Lee JM, Kim Y, Meier NF, Dixon PM.Comparison of consumer and research monitors under semistructured settings. Med Sci Sports Exer. 2015;47 Suppl 1:33–40. PubMed PMID: 26154336. Eng.
  • Demiris G, Hensel BK. Technologies for an aging society: a systematic review of “smart home” applications. Yearb Med Inform. 2008;47:33–40.
  • Bock C, Samuel A, Huang D, Thompson H, Demiris G. Visualizing sensor data through an open platform for connected devices. Stud Health Technol Inform. 2014;216:964.
  • Kaye J. Making pervasive computing technology pervasive for health & wellness in aging. Public Policy & Aging Report. 2017;27(2):53–61.
  • Feminella J, Pisharoty D, Whitehouse K Piloteur: a lightweight platform for pilot studies of smart homes. Proceedings of the 1st ACM conference on embedded systems for energy-efficient buildings; Memphis, TN. 2674076: ACM; 2014. p. 110–19. doi:10.1177/1753193414535349
  • Kang HG, Mahoney DF, Hoenig H, Hirth VA, Bonato P, Hajjar I, Lipsitz LA. In situ monitoring of health in older adults: technologies and issues. J Am Geriatr Soc. 2010;58(8):1579–86. doi:10.1111/j.1532-5415.2010.02959.x.
  • Or CKL, Karsh BT. A systematic review of patient acceptance of consumer health information technology. J Am Med Inform Assoc. 2009;16(4):550–60. doi:10.1197/jamia.M2888.
  • Wang A, Redington L, Steinmetz V, Lindeman D. The ADOPT model: accelerating diffusion of proven technologies for older adults. Ageing Int. 2011;36(1):29–45. doi:10.1007/s12126-010-9072-1.
  • Keller C, Fleury J, Sidani S, Ainsworth B. Fidelity to theory in pa intervention research. West J Nurs Res. 2009;31(3):289–311. doi:10.1177/0193945908326067.
  • Jackson V, Stoel L, Brantley A. Mall attributes and shopping value: differences by gender and generational cohort. J Retail Consum Serv. 2011;18(1):1–9. doi:10.1016/j.jretconser.2010.08.002.
  • Venkatesh V, Thong JY, Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quart. 2012;157–78. doi:10.2307/41410412.
  • Murphy SL. Review of physical activity measurement using accelerometers in older adults: considerations for research design and conduct. Prev Med. 2009;48(2):108–14. doi:10.1016/j.ypmed.2008.12.001. PubMed PMID: 19111780. Epub 2008/ 12/30.eng.
  • Gemmill E, Bayles CM, McTigue K, Satariano W, Sharma R, Wilson JW. Factors associated with adherence to an accelerometer protocol in older adults. J Phys Act Health. 2011;8(8):1152–59. doi:10.1123/jpah.8.8.1152. PubMed PMID: 22039134. Epub 2011/ 11/01.eng.
  • Lee PH, Macfarlane DJ, Lam TH. Factors associated with participant compliance in studies using accelerometers. Gait Posture. 2013;38(4):912–17. doi:10.1016/j.gaitpost.2013.04.018. PubMed PMID: 23688408. Epub 2013/ 05/22.eng.
  • Visser M, Brychta RJ, Chen KY, Koster A. Self-reported adherence to the physical activity recommendation and determinants of misperception in older adults. J Aging Phys Act. 2013;22(2):226–34. PubMed PMID: 23752449. Epub 2013/ 06/12.Eng.
  • 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 uHealth. 2017 PubMed PMID: 29141837;5(11):e173–e. doi:10.2196/mhealth.8211.
  • Ehn M, Eriksson LC, Akerberg N, Johansson AC. Activity monitors as support for older persons’ physical activity in daily life: qualitative study of the users’ experiences. JMIR mHealth uHealth. 2018;6(2):e34. doi:10.2196/mhealth.8345. PubMed PMID: 29391342. Pubmed Central PMCID: PMC5814603. Epub 2018/ 02/03.eng.
  • Steinert A, Haesner M, Steinhagen-Thiessen E. Activity-tracking devices for older adults: comparison and preferences. Univ Access Inform Soc. 2018;17(2):411–19. doi:10.1007/s10209-017-0539-7.
  • Mercer K, Giangregorio L, Schneider E, Chilana P, Li M, Grindrod K. Acceptance of commercially available wearable activity trackers among adults aged over 50 and with chronic illness: a mixed-methods evaluation. JMIR mHealth uHealth. 2016;4(1):e7. doi:10.2196/mhealth.4225. PubMed PMID: 26818775. Pubmed Central PMCID: PMC4749845. Epub 2016/01/29.eng .
  • McMahon SK, Lewis B, Oakes M, Guan W, Wyman JF, Rothman AJ. Older adults’ experiences using a commercially available monitor to self-track their physical activity. JMIR mHealth uHealth. 2016;4(2):e35. doi:10.2196/mhealth.5120. PubMed PMID: 27076486. Pubmed Central PMCID: PMC4848389. Epub 2016/04/15.eng.
  • de Bruin ED, Hartmann A, Uebelhart D, Murer K, Zijlstra W. Wearable systems for monitoring mobility-related activities in older people: a systematic review. Clin Rehabil. 2008;22(10–11):878–95. doi:10.1177/0269215508090675. PubMed PMID: 18955420. Epub 2008/ 10/29.eng
  • Allet L, Knols RH, Shirato K, de Bruin ED. Wearable systems for monitoring mobility-related activities in chronic disease: a systematic review. Sensors (Basel). 2010;10(10):9026–52. doi:10.3390/s101009026. PubMed PMID: 22163393. Pubmed Central PMCID: PMC3230979. Epub 2010/ 01/01.eng.
  • Berke EM, Choudhury T, Ali S, Rabbi M. Objective measurement of sociability and activity: mobile sensing in the community. Ann Fam Med. 2011;9(4):344–50. doi:10.1370/afm.1266. PubMed PMID: 21747106. Pubmed Central PMCID: 3133582. Epub 2011/ 07/13.eng.
  • Phillips LJ, Petroski GF, Markis NE. A comparison of accelerometer accuracy in older adults. Res Gerontol Nurs. 2015;8(5): 213-9. PubMed PMID: 25942386. Epub 2015/ 05/06.Eng.
  • Peek STM, Wouters EJM, van Hoof J, Luijkx KG, Boeije HR, Vrijhoef HJM. Factors influencing acceptance of technology for aging in place: a systematic review. Int J Med Inform. 2014;83(4):235–48. doi:10.1016/j.ijmedinf.2014.01.004.
  • Gietzelt M, Spehr J, Ehmen Y, Wegel S, Feldwieser F, Meis M, Marschollek M, Wolf K-H, Steinhagen-Thiessen E, Gövercin M. GAL@Home: a feasibility study of sensor-based in-home fall detection. Z Gerontol Geriatr. 2012;45(8):716–21. doi:10.1007/s00391-012-0400-9. PubMed PMID: 23184297. Epub 2012/ 11/28. GAL@Home: Machbarkeitsstudie fur die Sensor-basierte Sturzerkennung im Feld. Eng.
  • Sandelowski M. Whatever happened to qualitative description? Res Nurs Health. 2000;23:334–40.
  • Moran S, Nishida T, Nataka K. Comparing British Japanese perceptions of a wearable ubiquitous monitoring device. IEEE Technol Soc Mag. 2013;32(4):45–49. doi:10.1109/MTS.2013.2286419.
  • Melenhorst A-S, Fisk AD, Mynatt ED, Rogers WA, editors. Potential intrusiveness of aware home technology: perceptions of older adults. Proceedings of the Human Factors and Ergonomics Society Annual Meeting; 2004: SAGE Publications Sage CA: Los Angeles, CA.
  • Maze R, Jacobs M, editors,. Sonic city: prototyping a wearable experience. Seventh IEEE International Symposium on Wearable Computers, 2003 Proceedings; 2003;21–23. Oct. 2003.
  • Lorenzen-Huber L, Boutain M, Camp LJ, Shankar K, Connelly KH. Privacy, technology, and aging: a proposed framework. Ageing Int. 2011;36(2):232–52. doi:10.1007/s12126-010-9083-y.
  • Lee L, Egelman S, Lee JH, Wagner D. Risk perceptions for wearable devices. arXiv preprint. 2015;1-15. arXiv:150405694.
  • Krombholz K, Dabrowski A, Smith M, Weippl E, editors. Exploring design directions for wearable privacy. Network and Distributed System Security Symposium (NDSS). DOI:org/1014722/usec; 2017.
  • Kao H-LC, Ajilo D, Anilionyte O, Dementyev A, Choi I, Follmer S, Schmandt C, editors. Exploring interactions and perceptions of kinetic wearables. Proceedings of the 2017 Conference on Designing Interactive Systems, ACM; 2017: Edinburgh, United Kingdom.
  • Hall A, Boulton E, Stanmore E. Older adults’ perceptions of wearable technology hip protectors: implications for further research and development strategies. Disability and rehabilitation: assistive technology. 2018:1–6. Taylor &Francis.
  • Gonzalez ET, Jones AM, Harley LR, Burnham D, Choi YM, Fain WB, Ghovanloo M, editors. Older adults’ perceptions of a neckwear health technology. Proceedings of the Human Factors and Ergonomics Society Annual Meeting; 2014: SAGE Publications Sage CA: Los Angeles, CA. doi:10.1177/1541931214581380
  • Devendorf L, Lo J, Howell N, Lee JL, Gong, N-W, Karagozler ME, Fukuhara S, Poupyrev I, Paulos E, Ryokai K, editors. I don’t want to wear a screen: probing perceptions of and possibilities for dynamic displays on clothing. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, ACM; 2016. San Jose, California.
  • De Grood J, Wallace JE, Friesen SP, White DE, Gilmour JG, Lemaire JB. Evaluation of a hands-free communication device in an acute care setting: a study of healthcare providers’ perceptions of its performance. Comput Inform Nurs. 2012;30:148–56.
  • Chaudhuri S, Kneale L, Le T, Phelan E, Rosenberg D, Thompson H, Demiris G. Older adults’ perceptions of fall detection devices. J Appl Gerontol. 2017;36(8):915–30. doi:10.1177/0733464815591211.
  • Dearnley C. A reflection on the use of semi-structured interviews. Nurse Res. 2005;13:1. doi:10.7748/nr2005.07.13.1.19.c5997.
  • Bleich E, Pekkanen R How to report interview data. Interview research in political science. 2013;1:84–105.
  • Berg BL. Qualitative research methods for the social sciences, 4th ed. Allyn and Bacon; 2001.
  • Loosveldt G, Beullens K editors. ‘How long will it take?’An analysis of interview length in the fifth round of the European Social Survey. Surv Res Methods. 2013;7(2):69–787(2):69-78.
  • Hove SE, Anda B, editors. Experiences from conducting semi-structured interviews in empirical software engineering research. Software metrics, 2005 11th ieee international symposium, IEEE, Como, Italy; 2005.
  • DiCicco‐Bloom B, Crabtree BF. The qualitative research interview. Med Educ. 2006;40(4):314–21. doi:10.1111/j.1365-2929.2006.02418.x.
  • Heaney RP, Recker RR, Saville PD. Menopausal changes in bone remodeling. J Lab Clin Med. 1978;92(6):964–70. PubMed PMID: 739174.
  • Kohrt WM, Barry DW, Van Pelt RE, Jankowski CM, Wolfe P, Schwartz RS. Timing of ibuprofen use and bone mineral density adaptations to exercise training. J Bone Miner Res. 2010;25(6):1415–22. doi:10.1002/jbmr.24. PubMed PMID: 20200939. Pubmed Central PMCID: PMC3152206.
  • Jankowski CM, Shea K, Barry DW, Linnebur SA, Wolfe P, Kittelson J, Schwartz RS, Kohrt WM. Timing of Ibuprofen use and musculoskeletal adaptations to exercise training in older adults. Bone Rep. 2015;1:1–8. doi:10.1016/j.bonr.2014.10.003. PubMed PMID: 25642444. Pubmed Central PMCID: PMC4310009.
  • Harlow SD, Gass M, Hall JE, Lobo R, Maki P, Rebar RW, Sherman S, Sluss PM, de Villiers TJ. Executive summary of the stages of reproductive aging workshop + 10: addressing the unfinished agenda of staging reproductive aging. J Clin Endocrinol Metab. 2012;97(4):1159–68. doi:10.1210/jc.2011-3362. PubMed PMID: 22344196. Pubmed Central PMCID: 3319184. Epub 2012/ 02/22.eng.
  • Downie WW, Leatham PA, Rhind VM, Wright V, Branco JA, Anderson JA. Studies with pain rating scales. Annals of therheumatic diseases. 1978 Aug 1;37(4):378–81.
  • Judice PB, Santos DA, Hamilton MT, Sardinha LB, Silva AM. Validity of GT3X and Actiheart to estimate sedentary time and breaks using ActivPAL as the reference in free-living conditions. Gait Posture. 2015;41(4):917–22. doi:10.1016/j.gaitpost.2015.03.326. PubMed PMID: 25852024. Epub 2015/ 04/09.eng.
  • Reeder B, Chung J, Lazar A, Joe J, Demiris G, Thompson HJ. Testing a theory-based mobility monitoring protocol using in-home sensors: a feasibility study. Res Gerontol Nurs. 2013 PubMed PMID: 23938159. Eng;6(4):253–63. doi:10.3928/19404921-20130729-02.
  • Reeder B, Hills RA, Turner AM, Demiris G. Participatory design of an integrated information system design to support public health nurses and nurse managers. Public Health Nurs. 2014 Pubmed Central PMCID: PMID: 24117760, PMCID: PMC4061981;31(2):183–92. doi:10.1111/phn.12081.
  • Hensel BK, Demiris G, Courtney KL. Defining obtrusiveness in home telehealth technologies a conceptual framework. J Am Med Inform Assoc. 2006;13(4):428–31. doi:10.1197/jamia.M2026.
  • Reeder B, Chung J, Joe J, Lazar A, Thompson HJ, Demiris G Understanding older adults’ perceptions of in-home sensors using an obtrusiveness framework. HCI International 2016; July 17-22, 2016; Toronto, CA: Springer; 2016.
  • Davis FD, Usefulness P. Perceived ease of use, and user acceptance of information technology. MIS Quarterly. 1989;13(3):319–40. doi:10.2307/249008.
  • Boyatzis RE. Transforming qualitative information: thematic analysis and code development. Thousand Oaks (CA): Sage Publications; 1998.
  • Thomas DR. A general inductive approach for analyzing qualitative evaluation data. Am J Eval. 2006;27(2):237. doi:10.1177/1098214005283748.
  • O’Reilly M, Parker N. ‘Unsatisfactory Saturation’: a critical exploration of the notion of saturated sample sizes in qualitative research. Qualit Res. 2013;13(2):190–97. doi:10.1177/1468794112446106.
  • Guest G, Bunce A, Johnson L. How many interviews are enough? Field Methods. 2006;18(1):59–82. doi:10.1177/1525822X05279903.
  • World Health Organization. Women, ageing and health: A framework for action:Focus on gender; 2007.
  • Vasunilashorn S, Coppin AK, Patel KV, Lauretani F, Ferrucci L, Bandinelli S, Guralnik JM. Use of the short physical performance battery score to predict loss of ability to walk 400 meters: analysis from the InCHIANTI study. J Gerontol A Biol Sci Med Sci. 2009;64(2):223–29. doi:10.1093/gerona/gln022.
  • Finkelstein J, Knight A, Marinopoulos S, Gibbons MC, Berger Z, Aboumatar H, Wilson RF, Lau BD, Sharma R, Bass EB. Enabling patient-centered care through health information technology. Evid Rep Technol Assess. 2012;(206):1-1531.
  • Chung J, Demiris G, Thompson HJ. Ethical considerations regarding the use of smart home technologies for older adults: an integrative review. Annu Rev Nurs Res. 2016;34:155–81. doi:10.1891/0739-6686.34.155. Nursing Ethics: Vulnerable Populations and CHanging Systems of Care. 2015:155..
  • Courtney KL, Demiris G, Hensel BK. Obtrusiveness of information-based assistive technologies as perceived by older adults in residential care facilities: a secondary analysis. Med Inform Internet Medicine. 2007;32:3. doi:10.1080/14639230701447735.
  • Sun M, Burke LE, Mao Z-H, Chen Y, Chen H-C, Bai Y, Li Y, Li C, Jia W, editors.s eButton: a wearable computer for health monitoring and personal assistance. Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE, IEEE, San Francisco, CA; 2014.
  • Chung J, Demiris G, Thompson HJ, Chen KY, Burr R, Patel S, Fogarty J. Feasibility testing of a home-based sensor system to monitor mobility and daily activities in Korean American older adults. Int J Older People Nurs. 2017;12(1). doi:10.1111/opn.2017.12.issue-1. PubMed PMID: 27431567. Epub 2016/ 07/20.eng.
  • Chung J, Thompson HJ, Joe J, Hall A, Examining Korean DG. Korean American older adults’ perceived acceptability of home-based monitoring technologies in the context of culture. Inform Health Soc Care. 2017;42(1):61–76. doi:10.3109/17538157.2016.1160244. PubMed PMID: 27100664. Epub 2016/ 04/22.eng.
  • Reder S, Ambler G, Philipose M, Hedrick S. Technology and Long-term Care (TLC): a pilot evaluation of remote monitoring of elders. Gerontechnology. 2010;9(1):18–31. doi:10.4017/gt.2010.09.01.002.00.
  • Demiris G, Oliver DP, Dickey G, Skubic M, Rantz M. Findings from a participatory evaluation of a smart home application for older adults. Technol Health Care. 2008;16:111–18.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.