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Understanding Dementia Speech : Towards an Adaptive Voice Assistant for Enhanced Communication

Ma, Yong (författare)
University of Bergen, Bergen, Norway,Universitetet i Bergen
Nordberg, Oda Elise (författare)
University of Bergen, Bergen, Norway,Universitetet i Bergen
Zhang, Yuchong (författare)
KTH,Robotik, perception och lärande, RPL,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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Rongve, Arvid (författare)
University of Bergen, Bergen, Norway; Helse Fonna, Haugesund, Norway,Universitetet i Bergen
Bachinski, Miroslav (författare)
University of Bergen, Bergen, Norway,Universitetet i Bergen
Fjeld, Morten, 1965 (författare)
University of Bergen, Bergen, Norway; Chalmers University of Technology.,Universitetet i Bergen,Chalmers tekniska högskola,Chalmers University of Technology
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 (creator_code:org_t)
Association for Computing Machinery (ACM), 2024
2024
Engelska.
Ingår i: EICS 2024 Companion - Companion of the 2024 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. - : Association for Computing Machinery (ACM). ; , s. 15-21
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • Dementia poses significant challenges to individuals, particularly those grappling with Alzheimer's disease, impacting their daily lives, well-being, and communication. The task of enhancing communication for People with Dementia (PwD) has grown increasingly complex, prompting the exploration of innovative solutions such as voice assistants. Understanding PwD's speech features and conversational content can enhance their communication experiences. Speech feature analysis plays a pivotal role in this process, offering valuable insights into tailoring interactions with PwD. In this study, we analyze speech recordings from the ADReSSo database, which contains speech from both Alzheimer's patients and healthy aging persons. We discovered that several speech features exhibited significant differences between PwD and their healthy counterparts. These speech features can help with dementia identification and also represent the PwD's speaking patterns. Furthermore, the speech emotions of PwD and healthy aging people differ significantly. The clear differences in speech emotions offer valuable cues for crafting emotionally attuned interactions between PwD and voice assistants. These valuable information serves as the foundation for developing future personalized voice assistants dedicated to supporting individuals with dementia by incorporating the identified speech features and emotional information.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Language Technology (hsv//eng)
HUMANIORA  -- Språk och litteratur -- Jämförande språkvetenskap och allmän lingvistik (hsv//swe)
HUMANITIES  -- Languages and Literature -- General Language Studies and Linguistics (hsv//eng)

Nyckelord

Communication Enhancement
Dementia speech
Speech Features Analysis
Voice Assistants

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