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

Innovations and Technology for Healthy Eating Education (400) Artificial Intelligence (1198) Chatbots and Conversational Agents (463) New Methods (909) Voice Assistants (42) Dementia and Cognitive Decline (426) Supporting Informal Care and Caregivers (275)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19897, first published .
A Personalized Voice-Based Diet Assistant for Caregivers of Alzheimer Disease and Related Dementias: System Development and Validation

A Personalized Voice-Based Diet Assistant for Caregivers of Alzheimer Disease and Related Dementias: System Development and Validation

A Personalized Voice-Based Diet Assistant for Caregivers of Alzheimer Disease and Related Dementias: System Development and Validation

Authors of this article:

Juan Li1 Author Orcid Image ;   Bikesh Maharjan1 Author Orcid Image ;   Bo Xie2 Author Orcid Image ;   Cui Tao3 Author Orcid Image
Article Authors Cited by (30) Tweetations (4) Metrics

Journals

  1. F. Corbett C, M. Combs E, J. Wright P, L. Owens O, Stringfellow I, Nguyen T, Van Son C. Virtual Home Assistant Use and Perceptions of Usefulness by Older Adults and Support Person Dyads. International Journal of Environmental Research and Public Health 2021;18(3):1113 View
  2. Wójcik D, Szczechowiak K, Konopka P, Owczarek M, Kuzia A, Rydlewska-Liszkowska I, Pikala M. Informal Dementia Caregivers: Current Technology Use and Acceptance of Technology in Care. International Journal of Environmental Research and Public Health 2021;18(6):3167 View
  3. Chokri R, Hanini W, Daoud W, Chelloug S, Makhlouf A. Secure IoT Assistant-Based System for Alzheimer’s Disease. IEEE Access 2022;10:44305 View
  4. Jiménez S, Favela J, Quezada A, Ramachandran R, Juárez-Ramírez R. Towards Conversational Agents to support Informal Caregivers of People with Dementia: Challenges and Opportunities. Programming and Computer Software 2022;48(8):606 View
  5. Kannampallil T, Ronneberg C, Wittels N, Kumar V, Lv N, Smyth J, Gerber B, Kringle E, Johnson J, Yu P, Steinman L, Ajilore O, Ma J. Design and Formative Evaluation of a Virtual Voice-Based Coach for Problem-solving Treatment: Observational Study. JMIR Formative Research 2022;6(8):e38092 View
  6. Amiri M, Li J, Roy S. Meal Planning for Alzheimer's Disease Using an Ontology-Assisted Multiple Criteria Decision-Making Approach. International Journal of E-Health and Medical Communications 2022;13(1):1 View
  7. Tennant R, Allana S, Mercer K, Burns C. Caregiver Expectations of Interfacing With Voice Assistants to Support Complex Home Care: Mixed Methods Study. JMIR Human Factors 2022;9(2):e37688 View
  8. Weng H, Chen J, Ou A, Lao Y. Leveraging Representation Learning for the Construction and Application of a Knowledge Graph for Traditional Chinese Medicine: Framework Development Study. JMIR Medical Informatics 2022;10(9):e38414 View
  9. Cheng Z, Zhou M, Sabran K. Mobile app-based interventions to improve the well-being of people with dementia: a systematic literature review. Assistive Technology 2024;36(1):64 View
  10. Volochtchuk A, Leite H, Vieira A. Voice assistant technology applied to populations with developmental and physical disabilities. Behaviour & Information Technology 2023:1 View
  11. Machado S, Tavares J, Barbosa J. Technologies for monitoring patients with Alzheimer’s disease: A systematic mapping study and taxonomy. Journal of Ambient Intelligence and Smart Environments 2024;16(1):3 View
  12. Milella F, Russo D, Bandini S. AI-Powered Solutions to Support Informal Caregivers in Their Decision-Making: A Systematic Review of the Literature <sup><a class="tippyShow" data-tippy-arrow="true" data-tippy-content="This article is an extended version of the conference paper: Milella F, Russo DD, Bandini S, How artificial intelligence can support informal caregivers in their caring duties to elderly? a systematic review of the literature. In: AIXAS2023 Italian Workshop on Artificial Intelligence for an Ageing Society, co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), November 6-9, 2023, Rome, Italy (forthcoming)." data-tippy-interactive="true" data-tippy-theme="light-border" style="cursor:pointer">1</a></sup>. OBM Geriatrics 2023;07(04):1 View
  13. Shah R, Dixon C, Fowler M, Driesse T, Liang X, Summerour C, Gross D, Spangler H, Lynch D, Batsis J. Using Voice Assistant Systems to Improve Dietary Recall among Older Adults: Perspectives of Registered Dietitians. Journal of Nutrition in Gerontology and Geriatrics 2024;43(1):1 View
  14. Addlesee A, Eshghi A. You have interrupted me again!: making voice assistants more dementia-friendly with incremental clarification. Frontiers in Dementia 2024;3 View
  15. Xu Z, Gu Y, Xu X, Topaz M, Guo Z, Kang H, Sun L, Li J. Developing a Personalized Meal Recommendation System for Chinese Older Adults: Observational Cohort Study. JMIR Formative Research 2024;8:e52170 View
  16. Bawack R, Bonhoure E, Mallek S. Why would consumers risk taking purchase recommendations from voice assistants?. Information Technology & People 2024 View
  17. Milella F, Bandini S. Fostering Artificial Intelligence-based supports for informal caregivers: a systematic review of the literature. Intelligenza Artificiale 2024:1 View

Books/Policy Documents

  1. Kassel K, Pfannstiel M. Künstliche Intelligenz im Gesundheitswesen. View
  2. Yuan X, Ren X. HCI International 2021 - Late Breaking Posters. View
  3. Verdugo-Castro S, Sánchez-Gómez M, Martín-Cilleros M. Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality. View
  4. Siegert I, Busch M, Metzner S, Krüger J. Design, Operation and Evaluation of Mobile Communications. View
  5. Duong A, Valero M. Pervasive Computing Technologies for Healthcare. View