Projects per year
Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems |
| Place of Publication | New York, NY, USA |
| Publisher | ACM |
| Pages | 3963-3966 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2015 |
Keywords
- assistive technology, cognitive impairment, dementia, replichi, spoken dialogue systems, voice interfaces
Projects
- 1 Finished
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Towards responsive intelligent cognitive assistants for older people
Moore, J., Dzikovska, M., MacPherson, S. E. & Wolters, M.
1/01/11 → 31/03/14
Project: Research
Profiles
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Maria Wolters
- School of Informatics - Reader in Design Informatics
- Institute of Language, Cognition and Computation
- Design Informatics
- Language, Interaction and Robotics
Person: Academic: Research Active