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

Focus Groups and Qualitative Research for Human Factors Research (1220) Supporting Informal Care and Caregivers (381) Home Care (215) Supporting Home Care and Family Caregivers (262) Assisted Living for the Elderly and Nursing Home Care (209)

Published on in Vol 9, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37688, first published .
Caregiver Expectations of Interfacing With Voice Assistants to Support Complex Home Care: Mixed Methods Study

Caregiver Expectations of Interfacing With Voice Assistants to Support Complex Home Care: Mixed Methods Study

Caregiver Expectations of Interfacing With Voice Assistants to Support Complex Home Care: Mixed Methods Study

Authors of this article:

Ryan Tennant1 Author Orcid Image ;   Sana Allana1 Author Orcid Image ;   Kate Mercer1, 2 Author Orcid Image ;   Catherine M Burns1 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics

Journals

  1. Wang X, Chen J, Feng M, Zhuang M, Wang J, Zhang L, Liu Y, Chen H. Demand and influencing factors of “Internet + Traditional Chinese Medicine” home nursing service for older adult patients with chronic diseases: a mixed research perspective. Frontiers in Public Health 2023;11 View
  2. Leschanowsky A, Rech S, Popp B, Bäckström T. Evaluating privacy, security, and trust perceptions in conversational AI: A systematic review. Computers in Human Behavior 2024;159:108344 View
  3. Tennant R, Allana S, Mercer K, Burns C. Capturing Home Care Information Management and Communication Processes Among Caregivers of Older Adults: Qualitative Study to Inform Technology Design. JMIR Formative Research 2024;8:e53289 View
  4. Sezgin E, Jackson D, Kaufman K, Skeens M, Gerhardt C, Moscato E. Perceptions about the use of virtual assistants for seeking health information among caregivers of young childhood cancer survivors. DIGITAL HEALTH 2025;11 View
  5. Johnson J, Jamshed H, Zuppke R, Leggett A, Provost E, Brewer R. “I Felt Listened to”: Evaluating an AI-Powered Reflection Tool for Care Partners. ACM Transactions on Accessible Computing 2025;18(3):1 View
  6. Green A, Polite G, Hung I, Fessele K, Billington S, Landay J, Cuadra A. Black Older Adults' Perception of Using Voice Assistants to Enact a Medical Recovery Curriculum. Proceedings of the ACM on Human-Computer Interaction 2025;9(2):1 View
  7. Cena F, Grasso F. Exploring users' mental models of conversational agents: a systematic review. Behaviour & Information Technology 2025:1 View
  8. Jang G, Ji S, Baek J, Lee E, Chong S, Jang I. Voice-Based Remote Care Program for Vulnerable Older Adults in a Rural Community: Single-Arm Pilot Clinical Study. JMIR Aging 2025;8:e76653 View

Conference Proceedings

  1. Zaman K, Hasan W, Li J, Tao C. 2023 IEEE Symposium on Computers and Communications (ISCC). Empowering Caregivers of Alzheimer's Disease and Related Dementias (ADRD) with a GPT-Powered Voice Assistant: Leveraging Peer Insights from Social Media View
  2. Balakrishnan B, Rajesh V, Tharunraj R, Kumar M. 2023 International Conference on Inventive Computation Technologies (ICICT). Voice based Autonomous Pill Assistant for Alzheimer Patients View
  3. Sepehri K, Holsti L, Niasati S, Chan V, Maclean K. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Beyond the Bulging Binder: Family-Centered Design of a Digital Health Information Management System for Caregivers of Children Living with Health Complexity View
  4. Czech E, Soubutts E, Craddock I, O'Kane A. Proceedings of the 7th ACM Conference on Conversational User Interfaces. Understanding the Multimodal Voice Assistant as an Informal and Social Care Support Tool in the UK View