| Creators: |
Finze, Nikola and Jechle, Deinera and Faußer, Stefan A. and Gewald, Heiko |
| Title: |
How are We Doing Today? Using Natural Speech Analysis
to Assess Older Adults’ Subjective Well-Being |
| Item Type: |
Article or issue of a publication series |
| Projects: |
IDI |
| Journal or Series Title: |
Business & Information Systems Engineering : BISE |
| Additional Information: |
Open Access : http://creativecommons.org/licenses/by/4.0/ |
| Date: |
2024 |
| Divisions: |
Informationsmanagement |
| Abstract (ENG): |
The research presents the development and test
of a machine learning (ML) model to assess the subjective
well-being of older adults based solely on natural speech.
The use of such technologies can have a positive impact on
healthcare delivery: the proposed ML model is patientcentric
and securely uses user-generated data to provide
sustainable value not only in the healthcare context but also
to address the global challenge of demographic change,
especially with respect to healthy aging. The developed
model unobtrusively analyzes the vocal characteristics of
older adults by utilizing natural language processing but
without using speech recognition capabilities and adhering
to the highest privacy standards. It is based on theories of
subjective well-being, acoustic phonetics, and prosodic
theories. The ML models were trained with voice data from
volunteer participants and calibrated through the World
Health Organization Quality of Life Questionnaire
(WHOQOL), a widely accepted tool for assessing the
subjective well-being of human beings. Using WHOQOL
scores as a proxy, the developed model provides accurate
numerical estimates of individuals’ subjective well-being.
Different models were tested and compared. The
regression model proves beneficial for detecting unexpected
shifts in subjective well-being, whereas the support
vector regression model performed best and achieved a
mean absolute error of 10.90 with a standard deviation of
2.17. The results enhance the understanding of the subconscious
information conveyed through natural speech.
This offers multiple applications in healthcare and aging,
as well as new ways to collect, analyze, and interpret selfreported
user data. Practitioners can use these insights to
develop a wealth of innovative products and services to
help seniors maintain their independence longer, and
physicians can gain much greater insight into changes in
their patients’ subjective well-being. |
| Forthcoming: |
No |
| Language: |
English |
| Link eMedia: |
Download |
| Citation: |
Finze, Nikola and Jechle, Deinera and Faußer, Stefan A. and Gewald, Heiko
(2024)
How are We Doing Today? Using Natural Speech Analysis
to Assess Older Adults’ Subjective Well-Being.
Business & Information Systems Engineering : BISE.
ISSN 1867-0202
|
