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

Usability and Technology Use Studies with Elder Subjects (275) Web-based and Mobile Health Interventions (4071) Human Factors and Usability Case Studies (1020) Dementia and Cognitive Decline (709) Chatbots and Conversational Agents (754) Artificial Intelligence (2185) Mobile Devices and Apps for Seniors and Healthy Aging (276) Voice Assistants (52) Formative Evaluation of Digital Health Interventions (3291)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76489, first published .
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

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
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