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Papers on voice interfaces for people with cognitive impairment or demenita only provide small snapshots of actual interactions, if at all. This is a major obstacle to the development of better interfaces. Transcripts of interactions between users and systems contain rich evidence of typical language patterns, indicate how users conceptualise their computer interlocutor, and highlight key design issues. In this paper, we introduce the CADENCE corpus and outline how it can be used to stimulate replicable research on inclusive voice interfaces. The CADENCE corpus is first data set of its kind to include rich data from people with cognitive impairment and free for research use. The corpus consists of transcribed spoken interactions between older people with and without cognitive impairment and a simulated Intelligent Cognitive Assistant and includes comprehensive data on users' cognitive abilities.
- assistive technology, cognitive impairment, dementia, replichi, spoken dialogue systems, voice interfaces