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A Review of Challenges in Speech-based Conversational AI for Elderly Care
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Artificially intelligent systems optimized for speech conversation are appearing at a fast pace. Such models are interesting from a healthcare perspective, as these voice-controlled assistants may support the elderly and enable remote health monitoring. The bottleneck for efficacy, however, is how well these devices work in practice and how the elderly experience them, but research on this topic is scant. We review elderly use of voice-controlled AI and highlight various user- and technology-centered issues, that need to be considered before effective speech-controlled AI for elderly care can be realized.
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Cited by 2 Pith papers
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Welzijn.AI: Developing Responsible Conversational AI for Elderly Care through Stakeholder Involvement
Stakeholder evaluations of Welzijn.AI show experts see promise in reducing loneliness and detecting behavior changes, while elderly users value empathy and personality over transparency, and comprehension remains a challenge.
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Inclusivity of AI Speech in Healthcare: A Decade Look Back
A decade-long audit finds persistent inclusivity gaps in speech AI for healthcare: English-heavy datasets, little demographic metadata, no speech-impaired samples, and limited bias research.
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