Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Working Memory01:24

Working Memory

460
Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
460
Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

354
Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
354
Language and Cognition01:27

Language and Cognition

489
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
489
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

1.6K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
1.6K
Information Processing Approach01:30

Information Processing Approach

189
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
189

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Sliding Into Silence? We Are Speaking 300 Daily Words Fewer Every Year.

Perspectives on psychological science : a journal of the Association for Psychological Science·2026
Same author

Person-related selection bias in mobile sensing research: Robust findings from two panel studies.

Journal of personality and social psychology·2026
Same author

Leisure activities and working memory in older age: The mediating roles of affect and cortisol.

Psychology and aging·2025
Same author

Distance from home and working memory: daily associations varying by neighborhood environments in community-dwelling older adults.

European journal of ageing·2025
Same author

Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts.

Journal of medical Internet research·2025
Same author

Justifying Our Credences in the Trustworthiness of AI Systems: A Reliabilistic Approach.

Science and engineering ethics·2024
Same journal

Usability and Adoption of Smartwatches by Older Adults in Bangladesh: User Study.

JMIR aging·2026
Same journal

Associations of Solid Fuel Use and Circadian Rhythm Syndrome With Physical Function and Muscle Strength in Middle-Aged and Older Adults: Nationwide Cohort Study in China.

JMIR aging·2026
Same journal

Use of Wearable Technology for Measuring and Characterizing Sedentary Behavior in People With Mild Cognitive Impairment and Dementia: Systematic Review.

JMIR aging·2026
Same journal

Patient Satisfaction With Telehealth Visits in Rural Compared With Urban Communities: Single-Center Study.

JMIR aging·2026
Same journal

Exploring Expectations, Ethical Dimensions, and Values for Voice-Enabled AI Assistants That Support Older Adults and Informal Family Caregivers: Participatory Speculative Design Study.

JMIR aging·2026
Same journal

Impact of Sleep Quality on Gait Variability: Pilot Cohort Study.

JMIR aging·2026
See all related articles

Related Experiment Video

Updated: Oct 1, 2025

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.3K

Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine

Andrea Ferrario1,2, Minxia Luo3,4, Angelina J Polsinelli5

  • 1Chair of Technology Marketing, ETH Zurich, Zurich, Switzerland.

JMIR Aging
|March 8, 2022
PubMed
Summary
This summary is machine-generated.

Researchers used natural language processing and machine learning to predict working memory in older adults from everyday conversations. Linguistic measures and social context information from speech can help detect early cognitive decline.

Keywords:
Electronically Activated Recorder (EAR)behavioral indicatorscognitive aginglanguage complexitymachine learningnatural language processingsocial context

More Related Videos

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

4.9K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

Related Experiment Videos

Last Updated: Oct 1, 2025

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.3K
Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

4.9K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

Area of Science:

  • Cognitive science
  • Computational linguistics
  • Gerontology

Background:

  • Language use and social interactions are linked to cognitive function.
  • Understanding these links is crucial for predicting cognitive decline in healthy older adults.

Purpose of the Study:

  • To predict working memory in 98 healthy older adults using linguistic and social context data.
  • To analyze 7450 audio recordings of everyday conversations.

Main Methods:

  • Extracted linguistic measures (idea density, vocabulary richness, grammatical complexity) and part-of-speech (POS) tags using natural language processing (NLP).
  • Trained machine learning models (random forest, XGBoost, LightGBM) with cross-validation and feature elimination.
  • Assessed working memory using Keep Track, Consonant Updating tests, and a composite score.

Main Results:

  • Models incorporating linguistic measures, POS tags, and social context improved baseline predictions.
  • The best model for Keep Track prediction included all three data types.
  • POS tags alone were sufficient for predicting Consonant Updating and composite working memory scores.

Conclusions:

  • Machine learning and NLP can predict working memory in older adults from conversational data.
  • Findings support an unobtrusive early warning system for cognitive decline.
  • Privacy-sensitive technology could enable timely interventions to mitigate cognitive decline.