Smart-speaker technology and intellectual disabilities: agency and wellbeing

References

• World Health Organization. The ICD-10 classification of mental and behavioural disorders: clinical descriptions and diagnostic guidelines. Geneva: World Health Organization; 1992.
   Google Scholar
• Maulik PK, Mascarenhas MN, Mathers CD, et al. Prevalence of intellectual disability: a meta-analysis of population-based studies. Res Dev Disabil. 2011;32(2):419–436.
   PubMed Web of Science ®Google Scholar
• Thorlby R, Starling A, Broadbent C, et al. What’s the problem with social care, and why do we need to do better? London: The King’s Fund; 2018.
   Google Scholar
• Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55(1):68–78.
   PubMed Web of Science ®Google Scholar
• Smith GC, Kohn SJ, Savage-Stevens SE, et al. The effects of interpersonal and personal agency on perceived control and psychological well-being in adulthood. Gerontologist. 2000;40(4):458–468.
   PubMed Web of Science ®Google Scholar
• Welzel C, Inglehart R. Agency, values, and well-being: a human development model. Soc Indic Res. 2010;97(1):43–63.
   PubMed Web of Science ®Google Scholar
• Jamwal R, Jarman HK, Roseingrave E, et al. Smart home and communication technology for people with disability: a scoping review. Disabil Rehabil Assist Technol. 2020;1–21.
   PubMed Web of Science ®Google Scholar
• Parette P, Scherer M. Assistive technology use and stigma. Educ Train Dev Disabil. 2004;39(3):217–226.
   Web of Science ®Google Scholar
• Wallace T, Morris J. Identifying barriers to usability: smart speaker testing by military veterans with mild brain injury and PTSD. Cambridge Workshop on Universal Access and Assistive Technology; April. Cham: Springer; 2018; p. 113–122.
   Google Scholar
• Purington A, Taft JG, Sannon S, et al. "Alexa is my new BFF" social roles, user satisfaction, and personification of the amazon echo. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems; May; 2017. p. 2853–2859.
   Google Scholar
• Doteveryone. Better care in the age of automation. Data skills and culture for a sustainable, effective and fair care system. UK based think tank doteveryone report; 2019. Available from: https://www.doteveryone.org.uk/project/better-care-systems/
   Google Scholar
• Raghavendra P, Hutchinson C, Grace E, et al. “I like talking to people on the computer”: outcomes of a home-based intervention to develop social media skills in youth with disabilities living in rural communities. Res Dev Disabil. 2018;76:110–123.
   PubMed Web of Science ®Google Scholar
• Ramsten C, Martin L, Dag M, et al. A balance of social inclusion and risks: staff perceptions of information and communication technology in the daily life of young adults with mild to moderate intellectual disability in a social care context. J Policy Pract Intellect Disabil. 2019;16(3):171–179.
   Web of Science ®Google Scholar
• Townsend D, Knoefel F, Goubran R. Privacy versus autonomy: a tradeoff model for smart home monitoring technologies. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society; August. IEEE; 2011. p. 4749–4752.
   Google Scholar
• Perelmutter B, McGregor KK, Gordon KR. Assistive technology interventions for adolescents and adults with learning disabilities: an evidence-based systematic review and meta-analysis. Comput Educ. 2017;114:139–163.
   PubMed Web of Science ®Google Scholar
• Boot FH, Owuor J, Dinsmore J, et al. Access to assistive technology for people with intellectual disabilities: a systematic review to identify barriers and facilitators. J Intellect Disabil Res. 2018;62(10):900–921.
   PubMed Web of Science ®Google Scholar
• Balta-Ozkan N, Davidson R, Bicket M, et al. The development of smart homes market in the UK. Energy. 2013;60:361–372.
   Web of Science ®Google Scholar
• PA consulting. ‘Alexa can you support people with care needs?’ Trialling consumer devices in adult social care; 2019. Available from: https://www.paconsulting.com/our-experience/2019/Hampshire-County-Council-Helping-people-live-independently-for-longer-using-consumer-technology/
   Google Scholar
• Vass K. Research report: smart speakers for supported living; findings, recommendations and evaluations. Cardiff (Wales): Innovate Trust; 2018.
   Google Scholar
• Pradhan A, Mehta K, Findlater L. Accessibility came by accident: use of voice-controlled intelligent personal assistants by people with disabilities. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems; April. ACM; 2018. p. 459.
   Google Scholar
• Wechsler D. Wechsler Adult Intelligence Scale – fourth edition (WAIS-IV). San Antonio (TX): Pearson; 2008.
   Google Scholar
• Dunn LM, Dunn DM. Peabody picture vocabulary test. 4th ed. Minneapolis (MN): NCS Pearson, Inc.; 2007.
   Google Scholar
• Tennant R, Hiller L, Fishwick R, et al. The Warwick-Edinburgh Mental Well-Being Scale (WEMWBS): development and UK validation. Health Qual Life Outcomes. 2007;5(1):63.
   PubMed Web of Science ®Google Scholar
• Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101.
   Google Scholar
• Groarke JM, Groarke A, Hogan MJ, et al. Does listening to music regulate negative affect in a stressful situation? Examining the effects of self‐selected and researcher‐selected music using both silent and active controls. Appl Psychol Health Well Being. 2019;12(2):288–311.
   PubMed Web of Science ®Google Scholar
• Klassen R. A question of calibration: a review of the self-efficacy beliefs of students with learning disabilities. Learn Disabil Quart. 2002;25(2):88–102.
   Web of Science ®Google Scholar
• Shogren KA, Lopez SJ, Wehmeyer ML, et al. The role of positive psychology constructs in predicting life satisfaction in adolescents with and without cognitive disabilities: an exploratory study. J Positive Psychol. 2006;1(1):37–52.
   Google Scholar
• Hudson NW, Lucas RE, Donnellan MB. Day-to-day affect is surprisingly stable: a 2-year longitudinal study of well-being. Soc Psychol Personal Sci. 2017;8(1):45–54.
   PubMed Web of Science ®Google Scholar
• Headey B, Wearing A. Personality, life events, and subjective well-being: toward a dynamic equilibrium model. J Personal Soc Psychol. 1989;57(4):731–739.
   Web of Science ®Google Scholar
• Headey B. Subjective well-being: revisions to dynamic equilibrium theory using national panel data and panel regression methods. Soc Indic Res. 2006;79(3):369–403.
   Web of Science ®Google Scholar
• Coppens-Hofman MC, Terband H, Snik AF, et al. Speech characteristics and intelligibility in adults with mild and moderate intellectual disabilities. Folia Phoniatr Logop. 2016;68(4):175–182.
   PubMed Web of Science ®Google Scholar
• Myburg M, Allan E, Nalder E, et al. Environmental control systems – the experiences of people with spinal cord injury and the implications for prescribers. Disabil Rehabil Assist Technol. 2017;12(2):128–136.
   PubMed Web of Science ®Google Scholar
• Zapf SA, Scherer MJ, Baxter MF, et al. Validating a measure to assess factors that affect assistive technology use by students with disabilities in elementary and secondary education. Disabil Rehabil Assist Technol. 2016;11(1):38–49.
   PubMed Web of Science ®Google Scholar
• Kerkhof Y, Kohl G, Veijer M, et al. Randomized controlled feasibility study of FindMyApps: first evaluation of a tablet-based intervention to promote self-management and meaningful activities in people with mild dementia. Disabil Rehabil Assist Technol. 2020;1–15.
   Google Scholar
• Steel EJ, Buchanan R, Layton N, et al. Currency and competence of occupational therapists and consumers with rapidly changing technology. Occup Ther Int. 2017;2017:5612843.
   PubMed Web of Science ®Google Scholar
• Adolfsson P, Lindstedt H, Janeslätt G. How people with cognitive disabilities experience electronic planning devices. NeuroRehabilitation. 2015;37(3):379–392.
   PubMed Web of Science ®Google Scholar