Sami Alkhatib
Jenny Waycott
George Buchanan
Marthie Grobler
ABSTRACT
Aged Care Monitoring Devices (ACMDs) collect and share information about older adults to ensure their wellbeing. While monitoring devices enable older adults to live independently at home, they pose significant privacy challenges. Within HCI, research has sought to understand users’ privacy concerns, but technology developers’ perceptions of privacy have been explored less. According to the Privacy by Design (PbD) framework, developers should incorporate privacy safeguards into devices prior to deployment. However, little is known about how this is done in practice. To better understand developers’ views on privacy, we interviewed 12 developers from ACMD companies and found five factors that affect how they address privacy: 1) users’ requirements, 2) presumptions about users’ privacy perceptions, 3) privacy laws and regulations, 4) third-party providers, and 5) financial challenges. These factors interconnect with other internal organisational challenges. Our research demonstrates the constraints that make it difficult for developers to implement PbD in practice.
- AARP (American Association of Retired People). 2011. Aging in place: A state survey of livability policies and practices. Retrieved June, 2019 from http://www.ncsl.org/documents/transportation/Aging-in-Place-2011.pdfGoogle Scholar
- AGPC (Australian Government Productivity Commission). 2015. Housing Decisions of Older Australian. Retrieved February, 2019 from https://www.pc.gov.au/research/completed/housing-decisions-older-australians/housing-decisions-older-australians.pdfGoogle Scholar
- Tousif Ahmed, Apu Kapadia, Venkatesh Potluri, and Manohar Swaminathan.2018. "Up to a Limit? Privacy Concerns of Bystanders and Their Willingness to Share Additional Information with Visually Impaired Users of Assistive Technologies." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2(3), 1-27. DOI: https://doi-org/10.1145/3264899Google ScholarDigital Library
- Sami Alkhatib, Jenny Waycott, George Buchanan and Rachelle Bosua. 2018. Privacy and the Internet of Things (IoT) Monitoring Solutions for Older Adults: A Review. In Connecting the System to Enhance the Practitioner and Consumer Experience in Healthcare: Selected Papers from the 26th Australian National Health Informatics Conference (HIC 2018) (Vol. 252, p. 8). IOS Press. DOI: https://doi:10.3233/978-1-61499-890-7-8Google Scholar
- Hala Assal and Sonia Chiasson. 2019. 'Think secure from the beginning': A Survey with Software Developers. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Paper 289, 13 pages. DOI: https://doi-org /10.1145/3290605.3300519Google ScholarDigital Library
- Oshrat Ayalon and Eran Toch. 2019. A/P(rivacy) Testing: Assessing Applications for Social and Institutional Privacy. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19). ACM, New York, NY, USA, Paper LBW0261, 6 pages. DOI: https://doi-org /10.1145/3290607.3312972Google ScholarDigital Library
- Ramakrishna Ayyagari. 2012. An exploratory analysis of data breaches from 2005-2011: Trends and insights. Journal of Information Privacy and Security, (82), 33-56. DOI: https://doi.org/10.1080/15536548.2012.10845654Google ScholarCross Ref
- Wei Bai, Moses Namara, Yichen Qian, Patrick Gage Kelley, Michelle L. Mazurek, and Doowon Kim. 2016. An Inconvenient Trust: User Attitudes toward Security and Usability Tradeoffs for KeyDirectory Encryption Systems. In Twelfth Symposium on Usable Privacy and Security (SOUPS 2016). USENIX Association, 113–130. DOI: https://www.usenix.org/conference/soups2016/technical-sessions/presentation/baiGoogle Scholar
- Rebecca Balebako, Abigail Marsh, Jialiu Lin, Jason I. Hong, and Lorrie Cranor. 2014. The privacy and security behaviours of smartphone app developers. Workshop on Usable Security (USEC 2014), DOI: https://doi.org/10.14722/usec.2014.23006Google ScholarCross Ref
- Kathrin Bednar, Sarah Spiekermann, and Marc Langheinrich. 2019. Engineering Privacy by Design: Are engineers ready to live up to the challenge? The Information Society 35, 3 (2019), 122–142. DOI: http://dx.doi.org/10.1080/01972243.2019.1583296Google ScholarCross Ref
- Colin Bennett and Smith Oduro-Marfo. 2018. GLOBAL Privacy Protection: Adequate Laws, Accountable Organizations and/or Data Localization? In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp ’18). Association for Computing Machinery, New York, NY, USA, 880–890. DOI: https://doi.org/10.1145/3267305.3274149Google ScholarDigital Library
- Andrew Besmer and Heather Richter Lipford. 2010. Moving beyond untagging: photo privacy in a tagged world. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM, 1563-1572. DOI: https://doi-org/10.1145/1753326.1753560Google ScholarDigital Library
- Jeremy Birnholtz and McKenzie Jones-Rounds. 2010. Independence and interaction: understanding seniors' privacy and awareness needs for aging in place. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM, 143-152. DOI: https://doi-org /10.1145/1753326.1753349Google ScholarDigital Library
- Duncan Boldy, Linda Grenade, Gill Lewin, Elizabeth Karol, and Elissa Burton.2011. Older people's decisions regarding 'ageing in place': A Western Australian case study. Australasian Journal on Ageing, 30(3), 136-142.DOI: https://doi-org/10.1111/j.1741-6612.2010.00469.xGoogle ScholarCross Ref
- DanaKai Bradford and Qing Zhang. 2016. How to Save a Life: Could Real-Time Sensor Data Have Saved Mrs Elle?. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16). ACM, 910-920. DOI: https://doi-org/10.1145/2851581.2851598Google ScholarDigital Library
- Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 77-101.Google ScholarCross Ref
- Carole Cadwalladr and Emma Graham-Harrison. 2018. Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach. Retrieved March, 2019 from https://www.theguardian.com/news/2018/mar/17/cambridge-analytica-facebook-influence-us-electionGoogle Scholar
- Kelly E. Caine, Wendy A. Rogers, and Arthur D. Fisk. 2005. Privacy perceptions of an aware home with visual sensing devices. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 49, No. 21, pp. 1856-1858). SAGE Publications. DOI: https://doi.org/10.1177/154193120504902108Google Scholar
- Kelly Caine. 2016. "Local standards for sample size at CHI." In Proceedings of the 2016 CHI conference on human factors in computing systems, pp. 981-992. DOI: https://doi-org/10.1145/2858036.2858498Google Scholar
- Ann Cavoukian. 2009. Privacy by design: The 7 foundational principles. Information and Privacy Commissioner of Ontario, Canada, 5.Google Scholar
- Ann Cavoukian. 2012. Privacy by design and the emerging personal data ecosystem. Information and Privacy Commissioner/Ontario. DOI: https://doi.org/10.4018/978-1-61350-501-4.ch007Google Scholar
- Ann Cavoukian. 2013. Privacy by design: leadership, methods, and results. In European Data Protection: Coming of Age (pp. 175-202). Springer. DOI: https://doi.org/10.1007/978-94-007-5170-5_8Google Scholar
- Shomir Chaudhuri, Hilaire Thompson, and George Demiris. 2014. Fall detection devices and their use with older adults: a systematic review. Journal of geriatric physical therapy (2001), 37(4), 178. DOI: https://doi.org/10.1519/JPT.0b013e3182abe779Google Scholar
- Veerle Claes, Els Devriendt, Jos Tournoy, and Koen Milisen. 2015. Attitudes and perceptions of adults of 60 years and older towards in-home monitoring of the activities of daily living with contactless sensors: an explorative study. International journal of nursing studies, 52(1), 134-148. DOI: https://doi.org/10.1016/j.ijnurstu.2014.05.010Google Scholar
- Joseph F. Coughlin, Lisa A. D'Ambrosio, Bryan Reimer, and Michelle R. Pratt. 2007. Older adult perceptions of smart home technologies: implications for research, policy and market innovations in healthcare. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1810-1815). IEEE. DOI: https://doi.org/10.1109/IEMBS.2007.4352665Google Scholar
- Jessica Davis. 2018. Hackers breach 1.5 million Singapore patient records, including the prime minister's. Retrieved Jan, 2019 from https://www.healthcareit.com.au/article/hackers-breach-15-million-singapore-patient-records-including-prime-ministersGoogle Scholar
- Michael DeBellis and Christine Haapala. 1995. User-centric software engineering. IEEE Expert, 10(1), 34-41. DOI: https://doi.org/10.1109/64.391959Google Scholar
- Angelika Dohr, Robert Modre-Opsrian, Mario Drobics, Dieter Hayn, and Günter Schreier. 2010."The internet of things for ambient assisted living." In 2010 seventh international conference on information technology: new generations, pp. 804-809. IEEE. DOI: https://doi.org/10.1109/ITNG.2010.104Google Scholar
- FTC (Federal Trade Commission). 2012. FTC Issues Final Commission Report on Protecting Consumer Privacy. Retrieved February 2019 from https://www.ftc.gov/news-events/press-releases/2012/03/ftc-issues-final-commission-report-protecting-consumer-privacyGoogle Scholar
- Thanassis Giannetsos, Tassos Dimitriou, and Neeli R. Prasad. "People‐centric sensing in assistive healthcare: Privacy challenges and directions." Security and Communication Networks 4, no. 11 (2011): 1295-1307. DOI: https://doi.org/10.1002/sec.313Google Scholar
- Jeff Goldman. 2016. 32 Percent of Companies Don't Evaluate Their Third-Party Vendors. Retrieved April, 2019 from https://www.esecurityplanet.com/network-security/one-third-of-companies-dont-evaluate-their-third-party-vendors.htmlGoogle Scholar
- Daniel Greene and Katie Shilton. 2018. Platform privacies: Governance, collaboration, and the different meanings of “privacy” in iOS and Android development. New Media & Society 20, 4 (2018), 1640–1657. DOI: http://dx.doi.org/10.1177/1461444817702397Google ScholarCross Ref
- Irit Hadar, Tomer Hasson, Oshrat Ayalon, Eran Toch, Michael Birnhack, Sofia Sherman, and Arod Balissa. 2018. Privacy by designers: software developers' privacy mindset. Empirical Software Engineering, 23(1), 259-289. DOI: https://doi.org/10.1007/s10664-017-9517-1Google ScholarDigital Library
- Margaret C. Harrell and Melissa A. Bradley. 2009. Data collection methods. Semi-structured interviews and focus groups, DTIC Document, Tech. Rep. Retrieved Jan, 2020 from http://www.rand.org/content/dam/rand/pubs/ technical reports/2009/RAND TR718.pdfGoogle Scholar
- HealthTech Startups in Australia. 2019. Retrieved February, 2020 from https://tracxn.com/explore/HealthTech-Startups-in-AustraliaGoogle Scholar
- Melinda Heinz, Peter Martin, Jennifer A. Margrett, Mary Yearns, Warren Franke, Hen I. Yang, Johnny Wong, and Carl K. Chang. 2013. Perceptions of technology among older adults. Journal of Gerontological Nursing, 39(1), 42-51. DOI: https://doi.org/10.3928/00989134-20121204-04Google Scholar
- Susanne Hertz and Monica Alfredsson. 2003. Strategic development of third-party logistics providers. Industrial marketing management, 32(2), 139-149.DOI: https://doi.org/10.1016/S0019-8501(02)00228-6Google Scholar
- Alexis Hope, Ted Schwaba, and Anne Marie Piper. 2014. Understanding digital and material social communications for older adults. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 3903-3912. DOI: https://doi-org/10.1145/2556288.2557133Google ScholarDigital Library
- Paul Karp. 2018. Police can access My Health Record without court order, parliamentary library warns. Retrieved 2019 from https://www.theguardian.com/australia-news/2018/jul/25/police-can-access-my-health-record-without-court-order-parliamentary-library-warnsGoogle Scholar
- Christopher Knaus. 2019. More than 2.5 million people have opted out of My Health Record. Retrieved March, 2019. https://www.theguardian.com/australia-news/2019/feb/20/more-than-25-million-people-have-opted-out-of-my-health-recordGoogle Scholar
- Ann Light, Tuck W. Leong and Toni Robertson. 2015. Ageing well with CSCW. In ECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19-23 September 2015, Oslo, Norway (pp. 295-304). Springer, Cham. DOI: https://doi-org/10.1007/978-3-319-20499-4_16Google Scholar
- Tom Lodge, Andy Crabtree, and Anthony Brown. 2018. "IoT App Development: Supporting Data Protection by Design and Default." In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pp. 901-910. DOI: https://doi-org/10.1145/3267305.3274151Google Scholar
- Gonçalo Marques. 2019. Ambient Assisted Living and Internet of Things. In Harnessing the Internet of Everything (IoE) for Accelerated Innovation Opportunities (pp. 100-115). IGI Global. DOI: https://doi.org/10.4018/978-1-5225-7332-6.ch005Google Scholar
- Dana McCauley. 2018. Millions to opt out of My Health Record as backlash builds. Retrieved Jan, 2019 from https://www.smh.com.au/politics/federal/millions-to-opt-out-of-my-health-record-as-backlash-builds-20180724-p4ztb0.htmlGoogle Scholar
- Andrew R. McNeill, Lynne Coventry, Jake Pywell, and Pam Briggs. 2017. Privacy Considerations when Designing Social Network Systems to Support Successful Ageing. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 6425-6437. DOI: https://doi-org/10.1145/3025453.3025861Google ScholarDigital Library
- Joshua McVeigh-Schultz, Anya Kolesnichenko, and Katherine Isbister. 2019. Shaping Pro-Social Interaction in VR: An Emerging Design Framework. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Paper 564, 12 pages. DOI: https://doi-org/10.1145/3290605.3300794Google ScholarDigital Library
- Tracy Mitzner, Marita O'Brien, and Wendy Rogers. 2012. Emerging technologies for healthcare and aging. In CHI '12 Extended Abstracts on Human Factors in Computing Systems (CHI EA '12). ACM, New York, NY, USA, 2699-2702. DOI: https://doi-org /10.1145/2212776.2212699Google ScholarDigital Library
- Pardis Emami Naeini, Sruti Bhagavatula, Hana Habib, Martin Degeling, Lujo Bauer, Lorrie Faith Cranor, and Norman Sadeh. 2017. Privacy Expectations and Preferences in an IoT World. In Thirteenth Symposium on Usable Privacy and Security (SOUPS 2017). USENIX Association, 399–412. https://www.usenix.org/conference/soups2017/technical-sessions/presentation/naeiniGoogle ScholarDigital Library
- Miya Narushima and Makie Kawabata. 2020. "“Fiercely independent”: Experiences of aging in the right place of older women living alone with physical limitations." Journal of Aging Studies 54: 100875. DOI: https://doi.org/10.1016/j.jaging.2020.100875Google ScholarCross Ref
- OAIC (Office of the Australian Information Commissioner). 2018. Australian entities and the EU General Data Protection Regulation (GDPR). Retrieved May, 2018 from https://www.oaic.gov.au/privacy/guidance-and-advice/australian-entities-and-the-eu-general-data-protection-regulation/Google Scholar
- OAIC (Office of the Australian Information Commissioner). 2018. Guide to Securing Personal Information Retrieved May, 2018 from https://www.oaic.gov.au/agencies-and-organisations/guides/guide-to-securing-personal-informationGoogle Scholar
- Sebastiaan T.M. Peek, Eveline JM Wouters, Joost Van Hoof, Katrien G. Luijkx, Hennie R. Boeije, and Hubertus JM Vrijhoef. 2014. Factors influencing acceptance of technology for aging in place: a systematic review. International journal of medical informatics, 83(4), 235-248. DOI: https://doi.org/10.1016/j.ijmedinf.2014.01.004Google Scholar
- Alicia Phaneuf. 2019. Here are the top health tech companies and startups developing wearable medical devices. Retrieved September, 2019 from https://www.businessinsider.com/wearable-tech-companies-startups/?r=AU&IR=TGoogle Scholar
- Maribel Pino, Mélodie Boulay, François Jouen, and Anne Sophie Rigaud. 2015. “Are we ready for robots that care for us?” Attitudes and opinions of older adults toward socially assistive robots. Frontiers in aging neuroscience, 7, 141. DOI: https://doi.org/10.3389/fnagi.2015.00141Google Scholar
- James Rachels.1975. Why privacy is important. Philosophy and Public Affairs, 4, 323–333.Google Scholar
- Damith C. Ranasinghe, Roberto L. Shinmoto Torres, and Asanga Wickramasinghe. 2013. Automated activity recognition and monitoring of elderly using wireless sensors: Research challenges. In Advances in Sensors and Interfaces (IWASI), 2013 5th IEEE International Workshop on (pp. 224-227). IEEE. DOI: https://doi.org/10.1109/IWASI.2013.6576067Google ScholarCross Ref
- Hirak Ray, Flynn Wolf, Ravi Kuber, and Adam J. Aviv. 2019. "Woe is me": Examining Older Adults' Perceptions of Privacy. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19). ACM, New York, NY, USA, Paper LBW2611, 6 pages. DOI: https://doi-org/10.1145/3290607.3312770Google Scholar
- Rivka Ribak. 2019. Translating privacy: developer cultures in the global world of practice. Information, Communication and Society, 22(6), 838-853. DOI: https://doi.org/10.1080/1369118X.2019.1577475Google ScholarCross Ref
- Maricel Sanchez. 2019. 5 promising European agetech startups serving the elderly. Retrieved September, 2019 from https://www.eu-startups.com/2019/07/5-promising-european-agetech-startups-serving-the-elderly/Google Scholar
- Awanthika Senarath and Nalin Asanka Gamagedara Arachchilage. 2018. Why developers cannot embed privacy into software systems? An empirical investigation. In Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering 2018 (EASE’18). Association for Computing Machinery, New York, NY, USA, 211–216. DOI: https://doi.org/10.1145/3210459.3210484Google ScholarDigital Library
- Awanthika Senarath, Marthie Grobler, and Nalin Asanka Gamagedara Arachchilage. 2019. A model for system developers to measure the privacy risk of data. In Proceedings of the 52nd Hawaii International Conference on System Sciences. DOI: https://doi.org/10.24251/HICSS.2019.738Google ScholarCross Ref
- Awanthika Senarath, Marthie Grobler, and Nalin Asanka Gamagedara Arachchilage.2019. "Will they use it or not? Investigating software developers’ intention to follow privacy engineering methodologies." ACM Transactions on Privacy and Security (TOPS). 22(4), 1-30. DOI: https://doi-org/10.1145/3364224Google ScholarDigital Library
- Katie Shilton. 2013. Values levers: Building ethics into design. Science, Technology, & Human Values, 38(3), 374-397. DOI: https://doi.org/10.1177/0162243912436985Google Scholar
- Alberto Sillitti and Giancarlo Succi. 2005. Requirements engineering for agile methods. In Engineering and Managing Software Requirements (pp. 309-326). DOI: https://doi.org/10.1007/3-540-28244-0_14Google Scholar
- Daniel J. Solove. 2008. Understanding privacy (Vol. 173). Cambridge, MA: Harvard university press. USA.Google Scholar
- Luke Stark, Jen King, Xinru Page, Airi Lampinen, Jessica Vitak, Pamela Wisniewski, Tara Whalen, and Nathaniel Good. 2016. Bridging the Gap between Privacy by Design and Privacy in Practice. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16). ACM, New York, NY, USA, 3415-3422. DOI: https://doi-org /10.1145/2851581.2856503Google ScholarDigital Library
- Dianne M. Steel and Marion A. Gray. 2009. Baby boomers' use and perception of recommended assistive technology: a systematic review. Disability and Rehabilitation: Assistive Technology, 4(3), 129-136. DOI: https://doi.org/10.1080/17483100902767175Google Scholar
- Robert Steele, Amanda Lo, Chris Secombe, and Yuk Kuen Wong. 2009. Elderly persons’ perception and acceptance of using wireless sensor networks to assist healthcare. International journal of medical informatics, 78(12), 788-801. DOI: https://doi.org/10.1016/j.ijmedinf.2009.08.001Google Scholar
- Superflux. 2015. Uninvited guests. Video. 2015. Retrieved May 15, 2019 from https://vimeo.com/172893044.Google Scholar
- Madiha Tabassum, Tomasz Kosiński, Alisa Frik, Nathan Malkin, Primal Wijesekera, Serge Egelman, and Heather Richter Lipford. 2019. "Investigating Users' Preferences and Expectations for Always-Listening Voice Assistants." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3(4), 1-23. DOI: https://doi-org/10.1145/3369807Google ScholarDigital Library
- Mohammad Tahaei, Kami Vaniea, and Naomi Saphra. 2020. Understanding Privacy-Related Questions on Stack Overflow. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–14. DOI: https://doi.org/10.1145/3313831.3376768Google ScholarDigital Library
- Bert Vandenberghe and Karin Slegers. 2016. Designing for Others, and the Trap of HCI Methods & Practices. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16). ACM, New York, NY, USA, 512-524. DOI: https://doi-org /10.1145/2851581.2892584Google ScholarDigital Library
- John Vines, Stephen Lindsay, Gary W. Pritchard, Mabel Lie, David Greathead, Patrick Olivier, and Katie Brittain. 2013. "Making family care work: dependence, privacy and remote home monitoring telecare systems." In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, pp. 607-616. DOI: https://doi-org/10.1145/2493432.2493469Google Scholar
- Alexandra Voit, Elizabeth Stowell, Dominik Weber, Christoph Witte, Daniel Kärcher, and Niels Henze.2016. "Envisioning an ambient smart calendar to support aging in place." In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pp. 1596-1601.DOI: https://doi.org/10.1145/2968219.2968555Google Scholar
- Rolf H. Weber. 2010. Internet of Things–New security and privacy challenges. Computer law and security review, 26(1), 23-30. https://doi.org/10.1016/j.clsr.2009.11.008Google Scholar
- Peter Weill and Jeanne W. Ross.2004. IT governance: How top performers manage IT decision rights for superior results. Harvard Business Press.Google Scholar
- Mary-Anne Williams.2009. Privacy management, the law & business strategies: A case for privacy driven design. In 2009 International Conference on Computational Science and Engineering (Vol. 3, pp. 60-67). IEEE. DOI: https://doi.org/10.1109/CSE.2009.478Google ScholarDigital Library
- Richmond Y. Wong and Deirdre K. Mulligan. 2019. Bringing Design to the Privacy Table: Broadening “Design” in “Privacy by Design” Through the Lens of HCI. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Paper 262, 17 pages. DOI: https://doi-org/10.1145/3290605.3300492Google Scholar
- Ya-Huei Wu, Souad Damnée, Hélène Kerhervé, Caitlin Ware, and Anne-Sophie Rigaud. 2015. Bridging the digital divide in older adults: a study from an initiative to inform older adults about new technologies. Clinical interventions in aging, 10, 193. DOI: https://doi.org/10.2147/CIA.S72399Google Scholar
- Chang-Kuo Yeh, Hung-Ming Chen, and Jung-Wen Lo. "An authentication protocol for ubiquitous health monitoring systems." Journal of Medical and Biological Engineering 33, no. 4 (2013): 415-419. DOI: https://doi.org/10.5405/jmbe.1478Google Scholar
- Naaman Zhou. 2018. My Health Record privacy framework 'identical' to failed UK scheme, expert says. Retrieved Jan, 2019 from https://www.theguardian.com/australia-news/2018/jul/22/my-health-record-identical-to-failed-uk-scheme-privacy-expert-saysGoogle Scholar
- John Zimmerman, Jodi Forlizzi, and Shelley Evenson. 2007. Research through design as a method for interaction design research in HCI. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI ’07). ACM, New York, NY, USA, 493. https://doi.org/10.1145/1240624.1240704Google ScholarDigital Library
- Sandra A Zwijsen, Alistair R. Niemeijer, and Cees MPM Hertogh. 2011. Ethics of using assistive technology in the care for community-dwelling elderly people: an overview of the literature. Aging and mental health, 15(4), 419-427. DOI: https://doi.org/10.1080/13607863.2010.543662Google Scholar
Recommendations
Information Design in An Aged Care Context: Views of Older Adults on Information Sharing in a Care Triad
PervasiveHealth'19: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for HealthcareThe adoption of technological solutions for aged care is rapidly increasing in developed countries. New technologies facilitate the sharing of health information among the "care triad": the elderly care recipient, their family, and care staff. In order ...
Yet another privacy metric for publishing micro-data
WPES '08: Proceedings of the 7th ACM workshop on Privacy in the electronic societyRecently many schemes, including k-anonymity [8], l-diversity [6] and t-closeness [5] have been introduced for preserving individual privacy when publishing database tables. Furthermore k-anonymity and l-diversity have been shown to have weaknesses. In ...
Functional privacy concerns of older adults about pervasive health-monitoring systems
PETRA '17: Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive EnvironmentsTechnologies designed to support ageing can be deemed to be ageist in that they often exhibit a benevolent paternalism that tries to 'protect' older people. Often this involves gathering extensive data to monitor physical and cognitive decline at the ...
Comments