The science of the human mind is the science of happiness. Throughout history, philosophers, psychologists, doctors, and neuroscientists have been looking for ways we can live happier lives(1). In recent years, technologies like the Internet, smartphones and artificial intelligence have joined this search.
Youper is using artificial intelligence to unlock a new understanding of the human mind and develop more personalized treatments for conditions like depression and anxiety.
This quest is only possible because Youper is partnering with its thousands of users around the world to understand how emotions, thoughts, and behaviors are connected.
Our team of experts, led by psychiatrist Dr. Jose Hamilton, is learning from user data and constantly feeding Youper with the latest scientific research to push the science about the mind and brain forward.
What makes us happy?
The Emotional Health Atlas is one of our research projects(2) that is generating insights about the most common emotions in each state across the U.S. and about the factors influencing moods and behaviors.
With Youper, we have thousands of people improving themselves while contributing to our understanding of the human mind. Everyone is working together towards a common goal: to feel their best.
Science and Technology Boosting Happiness
In recent research, we analyzed data from 100,000 individuals and discovered that more than 80% of them improved their mood by talking to Youper.
The average length of a conversation with Youper required to produce positive changes is 7 minutes. But, if having quick conversations with Youper can change your day, can it also help you overcome chronic symptoms of anxiety, depression and social anxiety?
To answer that question, Youper utilizes anonymous data from users to understand how they are evolving over time.
The data shows that using Youper at least once a week significantly reduces symptoms of depression, anxiety, and social anxiety.
The Patient Health Questionnaire (PHQ-9), a 9-item, self-report questionnaire was used to assess the severity of depressive symptomatology within the previous two weeks(3). The PHQ-9 is one of the most reliable and validated measures of depressive symptoms. The following scores correlate with symptom severity: 0-4 none, 5-9 mild, 10-14 moderate, 15-19 moderately severe, 20-27 severe.
The Generalized Anxiety Disorder scale (GAD-7), a 7-item, brief self-report tool was used to assess the frequency and severity of anxious thoughts and behaviors over the past two weeks(4). Scores of 5, 10, and 15 are taken as the cut-off points for mild, moderate and severe anxiety, respectively.
The Social Phobia Inventory (SPIN), a 17-item, self-rating tool was used to assess the severity of social anxiety symptomatology over the past week(5). The following scores correlate with symptom severity: 0-19 none, 20-30 mild, 31-40 moderate, 41-50 severe, more than 50 very severe.
The Wilcoxon signed-rank test, a non-parametric statistical test(6), was used to demonstrate that the average symptom reduction is statistically significant (p < 0.001) from the baseline measurement.
These results and the details about the methodology of this research will be available in a peer-reviewed scientific publication soon.