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Not yet recruitingNCT05988840EMOACQ-1Updated Aug 15, 2023

Acquisition and Analysis of Relationships Between Longitudinal Emotional Signals Produced by an Artificial Intelligence Algorithm and Self-questionnaires Used in the Psychiatric Follow-up of Patients With Mood and/or Anxiety Disorders: a Real-Environment Study.

An observational study in Anxiety Disorders and Major Depressive Disorder, sponsored by Emobot. Not yet recruiting. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-08-15.

Sponsored by Emobot · Observational

From the registry’s dates

  • Primary completion was expected by Aug 2024, 2 years 1 month ago, but the record still lists the study as not yet recruiting.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
50
Ages
18 Years and older
Sex
All
01

Study summary

The worldwide prevalence of anxiety and depression increased massively during the pandemic, with a 25% rise in the number of patients suffering from psychological distress. Psychiatrists, and even more so general practitioners, need measurement tools that enable them to remotely monitor their patients' psychological state of health, and to be automatically alerted in the event of a break in behavior.

In this study, the investigators propose to collect clinical data along with longitudinal measurement of patients' emotions. Emobot proposes to analyze the evolution of mood disorders over time by passively studying people's emotional behavior. The aim of EMOACQ-1 is to acquire knowledge and produce a quantitative link between emotional expression and mood disorders, ultimately facilitating the understanding and management of these disorders.

Through this study, could be developed a technological solution to support healthcare professionals and patients in psychiatry, a field known as the "poor relation of medicine" and lacking in resources. Such a solution would enable better understanding, disorders remote \& continuous monitoring and, ultimately, better treatment of these disorders.

The investigators will process the data by carrying out a number of analyses, including descriptive, comparative and correlation studies of the data from the self-questionnaire results and the emotional signals captured by the devices.

Finally, the aim will be to predict questionnaire scores from the emotional signals produced.

02

Conditions studied

  • Anxiety Disorders
  • Major Depressive Disorder
03

In context

Anxiety Disorders

4,868 studies on the registry are indexed under Anxiety Disorders; 1,390 are open to participants now.

This study's planned enrollment of 50 is below the median of 150 across 606 observational studies indexed under Anxiety Disorders.

Browse Anxiety Disorders studies →

Lead sponsor

Emobot is the lead sponsor of 3 studies on the registry; 3 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

The first cohort of 20 participants will be provided with the 20 measuring embedded device, we will be able to collect specific data at targeted times and for specific activities.

The second cohort formed with the remaining participants will receive the software on their personal computer, enabling us to capture more general data and analyze behavior patterns in less controlled contexts.

Inclusion criteria

  • Persons over the age of 18 who volunteer to take part in research
  • Must have access to a computer with an Internet connection,
  • Written comprehension of French.

Exclusion criteria

Exclusion Criteria:

  • N/A
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
50 participants (estimated)
Patient registry
No

Groups and cohorts

  • The hardware group (on-board camera)

    A physical device equipped with a camera and embedding the acquisition/monitoring software. Positioned in the living space, it will be possible to capture the facial expressions of the person in ecology, for example when watching a TV program or reading.

    Other: Acquisition and analysis of relationships between Longitudinal Emotional Signals produced by a software and Self-questionnaires.

  • The software-only group (running on a PC or tablet and using the available webcam)

    Software running on a computer, connected to the computer's camera (webcam). If the person is teleworking on a PC, it is expected that images will be captured during videoconferencing-type interactions.

    Other: Acquisition and analysis of relationships between Longitudinal Emotional Signals produced by a software and Self-questionnaires.

Interventions

  • OtherAcquisition and analysis of relationships between Longitudinal Emotional Signals produced by a software and Self-questionnaires.

    Using the tool developed by Emobot, EMOACQ-1 is a study that passively and non-interventionaly collects data by capturing patients' facial expressions throughout the day, and then measures the correlation between emotional signals and the results of measurement questionnaires used in psychiatry.

06

What researchers measure

Primary outcomes

  1. Repeated measurements Correlations between emotional signals and studied disorders standardized tests.

    Repeated measurements Correlations between emotional signals and studied disorders standardized tests.

    Time frame: 10 months

07

Study locations

No study locations are listed for this record.

08

References and documents

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 15, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05988840
Lead sponsor
Emobot
Responsible party
Sponsor
First posted
Aug 14, 2023
Start date
Oct 17, 2023 (estimated)
Primary completion
Aug 17, 2024 (estimated)
Completion
Oct 17, 2024 (estimated)
Last update
Aug 15, 2023

Study contacts

Tanel Petelot
Contact
tanel.petelot@emobot.fr
+33 51 44 26 67 ext. +33

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Aug 2023. You cannot join it, but the record below documents what was studied.

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