Development of technology for the quantification of stress and well-being using pulse, voice, and electrodermal data

Development of technology for the quantification of stress and well-being using pulse, voice, and electrodermal data - Development of technology for the quantification of stress and well-being using pulse, voice, and electrodermal data

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000036814

Enrollment

300

Registered

2019-05-21

Start date

2019-05-31

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy volunteers

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Desk workers who sit in front of their personal computers for 3.5 hours or more a day

Exclusion criteria

Exclusion criteria: (1) Those who are under treatment for psychiatric diseases such as depression. (2) Those who have a disease which may affect acquisition of physical data (e.g., facial palsy, limb palsy, involuntary movement, cardiovascular diseases, difficulty speaking, etc.). (3) Those who have difficulties in operating personal computers such as sending and receiving e-mails and entering information on websites. (4) Those who have difficulties obtaining physical data for any work-related reason. (5) Those who are considered to be ineligible by the PI or investigators.

Design outcomes

Primary

Measure	Time frame
1. Relationship between sensing data (pulse, voice, electrodermal activity, acceleration, body temperature) and stress/well-being levels 2. Estimation of the stress/well-being levels from these sensing data using machine learning	—

Secondary

Measure	Time frame
Relationship between past physical/stress check data and stress/well-being levels obtained in this study. The following physical data will be recorded in participants' offices during a one-month observation period. 1) Heart rate data 2) Voice data 3) Electrodermal activity (EDA) data Assessment of the levels of stress, well-being, depression and daily condition Assessment scales are as follows: -New occupational stress questionnaires (modified) -Perceived Stress Scale: PSS -Satisfaction With Life Scale: SWLS -Japanese Positive and Negative Affect Schedule (PANAS) -Japanese Flourishing Scale (FS-J) -Patient Health Questionnaire-9 Japanese version -WHO-5 -Daily well-being	—

Measure

Time frame

Relationship between past physical/stress check data and stress/well-being levels obtained in this study. The following physical data will be recorded in participants' offices during a one-month observation period. 1) Heart rate data 2) Voice data 3) Electrodermal activity (EDA) data Assessment of the levels of stress, well-being, depression and daily condition Assessment scales are as follows: -New occupational stress questionnaires (modified) -Perceived Stress Scale: PSS -Satisfaction With Life Scale: SWLS -Japanese Positive and Negative Affect Schedule (PANAS) -Japanese Flourishing Scale (FS-J) -Patient Health Questionnaire-9 Japanese version -WHO-5 -Daily well-being

—

Countries

Japan

Contacts

Public ContactTaishiro Kishimoto

Keio University School of Medicine Department of Neuropsychiatry

tkishimoto@keio.jp03-5786-0006

Outcome results