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Biomarkers.

Michelle Cohn1, Alyssa Weakley2, Alyssa M Lanzi3

  • 1University of California, Davis, Davis, CA, USA.

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Summary
This summary is machine-generated.

Speech rate may indicate cognitive status when talking to voice assistants. Slower speech in technology-directed tasks is linked to cognitive impairment, suggesting a potential biomarker.

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Area of Science:

  • Cognitive Science
  • Computational Linguistics
  • Gerontology

Background:

  • Voice technology interaction is common, prompting research into cognitive status detection.
  • Speech rate is a potential biomarker for cognitive impairment, but prior studies focused on human-directed speech.
  • Individuals alter speech rate when interacting with technology compared to humans.

Purpose of the Study:

  • To investigate the reliability of speech rate as a biomarker for cognitive impairment in technology-directed speech tasks.
  • To determine if speech rate differences exist between neurotypical individuals and those with cognitive impairments when using voice assistants.

Main Methods:

  • Analysis of the Voice Assistant System (VAS) corpus, including 89 participants (ages 65-94) with varying cognitive statuses (assessed by MoCA scores).
  • Measurement of utterance-level speech rate (syllables per second) using Praat, modeled with mixed-effects regression.
  • Inclusion of MoCA score, gender, age, Geriatric Depression Scale, Generalized Anxiety Score, and voice technology experience as predictors.

Main Results:

  • Higher MoCA scores correlated with faster speech rates in Alexa-directed commands (p < 0.01).
  • Women exhibited faster speech rates than men (p < 0.05).
  • Significant overlap in speech rate distributions was observed between neurotypical adults and those with mild cognitive impairment or dementia.

Conclusions:

  • Reduced speech rate is associated with cognitive impairment in technology-directed commands.
  • Slower speech rate may serve as a sensitive, though not specific, behavioral biomarker for cognitive status.
  • Further research is needed to refine speech rate as a diagnostic tool for cognitive decline.