What do individuals with visual impairment need and want from a dialogue-based digital assistant?

References

• dy GBD 2019 Blindness and Vision Impairment Collaborators* on behalf of the Vision Loss Expert Group of the Global Burden of Disease Study. Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease study. Lancet Glob Health 2021;9: e130–43.
   PubMed Web of Science ®Google Scholar
• Pezzullo L, Streatfield J, Simkiss P et al. The economic impact of sight loss and blindness in the UK adult population. BMC Health Serv Res 2018; 18: 1–13.
   PubMed Web of Science ®Google Scholar
• Life opportunities survey: wave one results. Office for Disability Issues. London: HM Government; 2009-2011.
   Google Scholar
• Hodge S, Barr W, Bowen L et al. Exploring the role of an emotional support and counselling service for people with visual impairments. Br J Vis Impair 2013; 31: 5–19.
   Google Scholar
• Mitchell J, Bradley C. Quality of life in age-related macular degeneration: a review of the literature. Health Qual Life Outcomes 2006; 4: 1–20.
   PubMed Web of Science ®Google Scholar
• Dickinson C, Linck P, Tudor-Edwards R et al. A profile of low vision services in England: the low vision service model evaluation (LOVSME) project. Eye 2011; 25: 829–831.
   PubMed Web of Science ®Google Scholar
• Hodge S, Thetford C, Knox P et al. Finding your own way around: experiences of health and social care provision for people with a visual impairment in the United Kingdom. Br J Vis Impair 2015; 33: 200–211.
   Google Scholar
• Department of Health and Social Care. 2018 [cited 2022 Jul 3]. Available from: https://www.gov.uk/government/publications/guidance-published-on-registering-a-vision-impairment-as-a-disability
   Google Scholar
• Llewellyn M, Hilgart J, Joshi P et al. Impact of eye clinic liaison officers: a qualitative study in UK ophthalmology clinics. BMJ Open 2019; 9: e023385.
   PubMed Web of Science ®Google Scholar
• [cited 2021 Dec 3]. Available from: https://www.rnib.org.uk/ecloinformation
   Google Scholar
• Menon V, Treen T, Burdon MA et al. Impact of the eye clinic liaison officer at an NHS foundation trust: a retrospective study. BMJ Open Ophthalmol 2020; 5: 1–5.
   Web of Science ®Google Scholar
• Thetford C, Robinson J, Knox P et al. Long-term access to support for people with sight loss. Br J Vis Impair 2011; 29: 46–59.
   Google Scholar
• Howse K, Ebrahim S, Gooberman-Hill R. Help-avoidance: why older people do not always seek help. Rev Clin Gerontol 2005; 14: 63–70.
   Google Scholar
• [cited 2021 Dec 3]. Available from: https://www.henshaws.org.uk/knowledge-village
   Google Scholar
• [cited 2021 Dec 3]. Available from: https://www.sightadvicefaq.org.uk
   Google Scholar
• [ cited 2021 Dec 3]. Available from: https://www.sightlinedirectory.org.uk
   Google Scholar
• Ofcom. Disabled consumers’ use of communications services. 1–153, 2015 Oct.
   Google Scholar
• Berget G, MacFarlane A, Pharo N. Modelling the information seeking and searching behaviour of users with impairments: are existing models applicable? J Doc 2021; 77: 381–400.
   Web of Science ®Google Scholar
• Laranjo L, Dunn AG, Tong HL et al. Conversational agents in healthcare: a systematic review. J Am Med Inform Assoc 2018; 25: 1248–1258.
   PubMed Web of Science ®Google Scholar
• Schachner T, Kellar R, Wangenheim FV. Artificial intelligence based conversational agents for chronic conditions: systematic literature review. J Med Internet Res 2020 Sep; 22: e20701.
   PubMed Web of Science ®Google Scholar
• Moore N. A model of social information need. J Inf Sci 2002; 28: 297–303.
   Web of Science ®Google Scholar
• Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006; 3: 77–101.
   Google Scholar
• Beverley CA, Bath PA, Barber R. Health and social care information for visually impaired people. Aslib Proc 2011; 63: 256–274.
   Google Scholar
• Lam N, Leat SJ. Barriers to accessing low-vision care: the patient’s perspective. Can J Ophthalmol 2013; 48: 458–462.
   PubMed Web of Science ®Google Scholar
• Moore JE, Armstrong GK, Lamb AM et al. Information and referral needs of persons with partial sight. J Rehabil Adm 1992; 16: 84–100.
   Google Scholar
• Masey H The support and information needs of newly registered visually impaired people. London: RNIB Corporate Planning and Evaluation Research Report; 1997.
   Google Scholar
• Beverley CA, Bath PA, Booth A. Health information needs of visually impaired people: a systematic review of the literature. Health Soc Care Community 2004; 12: 1–24.
   PubMed Web of Science ®Google Scholar
• Kocaballi AB, Berkovsky S, Quiroz JC et al. The personalization of conversational agents in health care: systematic review. J Med Internet Res 2019; 21: e15360.
   PubMed Web of Science ®Google Scholar
• Abdolrahmani A, Kuber R, Branham SM “Siri Talks at You” an empirical investigation of Voice-Activated Personal Assistant (VAPA) usage by individuals who are blind. Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility; 2018 Oct; Galway, Ireland.
   Google Scholar
• Zeng G, Yang W, Ju Z, et al. Meddialog: a large-scale medical dialogue dataset. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics; 2020 Nov. p. 9241–9250; online conference.
   Google Scholar
• Campillos-Llanos L, Thomas C, Bilinski É et al. Lessons learned from the usability evaluation of a simulated patient dialogue system. J Med Syst 2021; 45: 1–20.
   Web of Science ®Google Scholar
• Luger E, Sellen A “Like having a really bad PA” the Gulf between user expectation and experience of conversational agents. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems; 2016 May. p. 5286–5297; San Jose, California, USA.
   Google Scholar
• Linnemann GA, Jucks R. “Can I trust the spoken dialogue system because it uses the same words as i do?”—Influence of lexically aligned spoken dialogue systems on trustworthiness and user satisfaction. Interact Comput 2018; 30: 173–186.
   Web of Science ®Google Scholar
• Foehr J, Germelmann CC. “Alexa, can I trust you?” Exploring consumer paths to trust in smart voice-interaction technologies. J Assoc Consum Res 2020; 5: 181–205.
   Google Scholar
• Kraus M, Wagner N, Callejas Z et al. The role of trust in proactive conversational assistants. IEEE Access 2021; 9: 112821–112836.
   Web of Science ®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; Vol. 459, 2018 April. Paper p. 1–13; Montreal, Quebec, Canada.
   Google Scholar
• Enoch J, Dickinson C, Subramanian A. What support do caregivers of people with visual impairment receive and require? An exploratory study of UK healthcare and charity professionals’ perspectives. Eye 2021. doi:10.1038/s41433-021-01821-6
   Web of Science ®Google Scholar
• Enoch J, Dickinson C, Subramanian A. An exploratory study on support for caregivers of people with visual impairment in the UK. Ophthalmic Physiol Optics 2022. doi:10.1111/opo.12989
   PubMed Web of Science ®Google Scholar