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

Usability and Technology Use Studies with Elder Subjects (311) Web-based and Mobile Health Interventions (4371) Human Factors and Usability Case Studies (1120) Dementia and Cognitive Decline (775) Formative Evaluation of Digital Health Interventions (3634) Mobile Devices and Apps for Seniors and Healthy Aging (305) Chatbots and Conversational Agents (820) Artificial Intelligence (2501) Voice Assistants (58)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76489, first published .
Child-friendly robot on a table interacting with a person

A Hybrid Rule- and Large Language Model–Based Embodied Voice Assistant (GRACE) for Cognitive Stimulation in Older Adults: Usability Study Assessing Technical Feasibility, Technology Acceptance, and Working Alliance

A Hybrid Rule- and Large Language Model–Based Embodied Voice Assistant (GRACE) for Cognitive Stimulation in Older Adults: Usability Study Assessing Technical Feasibility, Technology Acceptance, and Working Alliance

Authors of this article:

Rasita Vinay1, 2 Author Orcid Image ;   Ekaterina Uetova3 Author Orcid Image ;   Nora Camilla Tommila2 Author Orcid Image ;   Nikola Biller-Andorno1 Author Orcid Image ;   Tobias Kowatsch2, 4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Walliser F, Biller-Andorno N, Kowatsch T, Vinay R. Evaluating the GRACE voice assistant for dementia care among caregivers and healthcare professionals: An interview study. DIGITAL HEALTH 2026;12 View
  2. Shenoi A, Li T, Jabir A, Pitkethly A, Fleisch E, Kowatsch T, Mair J. Assessing the Feasibility and Fidelity of Structured LLM-Workflows for Motivational Interviewing: Proof-of-Concept Study (Preprint). JMIR Formative Research 2026 View