Monitoring emotional well-being through journaling
NLP-supported analysis
JAM-STEP
Natural Language Processing-based

According to the Techniker Krankenkasse health report 20231, around one in three students feels emotionally exhausted. This not only means reduced emotional well-being, but is also a common leading symptom of mental illness. In addition, students usually do not know how to deal with this and would like more support. The trend of journaling is not only a contemporary hype, but research has also shown positive effects on mental health in numerous studies. In addition, recent advances in technology, particularly artificial intelligence (AI) and natural language processing (NLP), have developed new ways of journaling. However, the new possibilities offered by AI-supported journaling apps have hardly been scientifically investigated to date. The monitoring and reflection of emotional states in particular have promising benefits for the mental health of students. This is where the JAM-STEP project comes in, in order to investigate the influence of the input modality (speaking or typing) on these.
What is journaling?
Journaling can be understood as classic diary writing and promises to be an effective tool for understanding yourself better, recognizing your thought and behaviour patterns and documenting your development. It is not only very popular in social media, but also in cognitive behavioral therapy. There are a wide variety of methods: Structuring your thoughts with a bullet journal, starting the day with a 5-minute journal, reflecting on what you are grateful for with gratitude journaling or writing down feelings and thoughts about stressful situations unfiltered with expressive writing. The positive effects of journaling include increased self-efficacy, greater resilience and more life satisfaction. Even an improvement in the symptoms of mental illnesses such as depression could be shown.
What is artificial intelligence?
AI encompasses technologies and methods that enable machines to perform tasks that typically require human intelligence. These include learning, pattern recognition, problem solving and decision making.2
What is Natural Language Processing?
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on processing and analyzing human language. By using NLP, information such as emotions, moods and topics can be derived from texts.
What are the possibilities of AI-supported diary apps?
AI-supported diary apps not only make it possible to improve emotional well-being, but also to monitor it at the same time. This can be used to identify patterns and react to negative trends. This monitoring can also hold a mirror up to the user and provide insightful feedback, which is thought to reinforce the positive effects of journaling by encouraging self-reflection. To make journaling even more flexible, many diary apps allow different input modalities. Students can therefore now not only write their diary entries in the traditional way with pen on paper, but also type them into their smartphone or speak them.
Why is the input form relevant for journaling?
The different forms of input are relevant, as spoken language could reflect emotional states more spontaneously and authentically, while typed language could be formulated in a more considered and targeted manner. Due to these differences, it is possible that information about the emotional state is transmitted differently and the input form therefore has an influence on the implementation of the monitoring.
Aim of the study
In the JAM-STEP project, we want to investigate the effectiveness of NLP-based analyses of journal entries for monitoring and reflecting the emotional state of students. More specifically, we will investigate whether the type of input modality (spoken vs. typed journaling entries) has an influence on the monitoring of students' emotional state. It will also be determined which types of feedback are preferred. The insights gained can be used to advance the development of AI-supported journaling apps to improve mental health.
Who is the project aimed at?
Our project is aimed at students of all disciplines aged 18 and over. Participation also requires a good command of German (written and spoken) and an internet-enabled smartphone (iOS or Android).
Publications
Selected publicationsWhat do the study participants receive in the project?
Payment
Participants will receive a payment of €10 if they successfully participate.
VP hours
As an alternative to payment, students of psychology or cognitive science at the University of Tübingen can receive up to 3 subject hours.
Individual feedback
Participants receive a personal evaluation and visualization of their journaling data.
Increase emotional well-being
The test subjects can use a scientifically proven method to improve their well-being.
Profit
We are giving away 3 x €50 vouchers for a variety of online stores (e.g. Amazon, IKEA, Zalando, Media Markt) among the most active 50% of participants.
Research
By taking part, participants are supporting research into digital services to promote mental health.
Participants wanted!
Participants wanted!
Participation possible from September up to and including November 2024.
Interested in participating in this study?
Click here to register directly. All further information will follow there.
Take part now
Contact us
Still unsure? Feel free to contact us, we will explain the details of the study and see if it is suitable for you.
E-mail address: jam-step@med.uni-tuebingen.de Nadine Schmitt, M.Sc., Michelle Schlicher, B.Sc.
Study program and methods
The study takes place over a period of 2 weeks. The total time required is around 3 hours. At the beginning there is a baseline survey, which takes about 10-15 minutes. This is followed by 14 daily surveys (approx. 5-10 min) using the Famedly app and the SoSci Survey online platform. Finally, the participants receive an individual reflection of their emotional state over the study period. We ask them to complete a short feedback questionnaire on this.
Procedure of the project
Download the app
After the participants have agreed to the declaration of consent on SoSci Survey, we ask them to download the Famedly app from the Apple App Store or the Google Playstore. To register, the participants receive an individual QR code from us. No telephone number or e-mail address is required in the app.
Baseline survey
We then ask the participants to complete the baseline survey questionnaires on SoSci Survey. These cover the areas of demographics, mental health (anxiety, stress and depression), general well-being and self-control. It takes about 10-15 minutes to complete the questionnaires.
Daily survey
The baseline survey is followed by 14 daily surveys. A journaling entry is created every evening in the Famedly app ("Tell us about your high and lowlights of the day. How did you feel and why?"). Participants are randomly assigned to one of two groups at the start of the study: One group types their journaling entries and the other group records voice messages. Subsequently, questionnaires on emotional state, stress level and self-control are filled out on SoSci Survey, and the topics of the day (e.g. friends, work) are selected from a list. The daily effort is between 5 and 10 minutes. This depends on the length of the journaling entry.
Individual feedback
At the end of the study, participants receive individual feedback (see figure). This is created by the study team based on the questionnaires collected and is not AI-generated. It shows the progression of their mood values and the mentioned topics over the study period and is also intended to show the correlations between them. The more extensive the entries are, the more can be reflected to the participants in the feedback. Participants can contact the study team at any time if they have questions about the feedback.
What data is collected?
Baseline survey
Collected data | Sample questions |
---|---|
Demographic data | In which subject area are you currently studying? |
General well-being | In the last 2 weeks I was happy and in a good mood. |
General psychological stress | I have felt anxious for no reason in the last 2 weeks. |
General self-control | I can resist temptations well. |
Daily survey
Collected data | Sample questions |
---|---|
Daily diary entries | Tell us about your high and lowlights of the day. How did you feel and why? |
Daily emotional state | From 1 to 7 how calm did you feel today? |
Daily stress level | How often did you feel nervous and stressed today? |
Daily self-control | If I were given a difficult task right now, I would give up quickly. |
Journaling topics | Select the topics of your entry today: e.g. love |
Questions and answers about the study
What is Famedly?
Famedly is a messenger app that was specially developed for the healthcare sector. Data protection is very important here, which is why the app is also GDPR-compliant. It can be downloaded from the Google Playstore or the Apple App Store. Participants receive a personal QR code to register in the app.
What is SoSci Survey?
SoSci Survey is a GDPR-compliant platform for online surveys. It is not an app. Instead, the questionnaires are filled out in the browser on a cell phone or laptop. Participants receive the relevant links from us via the Messenger Famedly.
Do I have to be on site or can everything take place online?
The study can be conducted entirely online. Nevertheless, we have contact persons on site who are also available online.
Is the data collected anonymous and secure?
The personal data is anonymized or pseudonymized, used only for research purposes, treated confidentially and not passed on to third parties.
What does the feedback look like?
The feedback will consist of several visual representations of the data collected. The mood and stress values over the study period will be displayed. It will also reflect which topics were talked about a lot. In addition, there should be visualizations that link the topics and mood values. See the illustration in the "Individual feedback" section.
Can I discuss my feedback?
At the end of the study, we would be delighted to hear from participants who are willing to give us their opinion on the various feedback options in an interview. We will make a separate call for this. The insights gained from this will contribute to the user-centered development of journaling apps.
Are there any risks?
There are no risks for the participants as part of the study.
Is participation in the study voluntary?
Participation in the study is voluntary. Participants can stop or terminate the study at any time without giving reasons and without any disadvantages for the test subjects.
Do I have to take part in all fourteen surveys?
Study participants can decide for themselves how many surveys they would like to take part in. Nevertheless, a high willingness to participate is essential for the success of this study and we ask the test subjects to take part in each of the surveys if possible.
Why is it important that I don't miss any of the surveys?
In the study, we track the emotional well-being and stress levels of the participants over a period of two weeks. If some of the surveys are missed, it will be difficult to make statements about the progress of the participants' well-being and this will also affect the individual feedback to the participants.
Does the survey always have to take place at the same time and in the same place?
Thanks to our digital application, the survey can take place anywhere and at any time. However, as we ask participants to reflect on their day in their journaling entry, it would be very good for the comparability and high quality of the data if the survey takes place in the evening after 6 pm. You will receive a push notification as a reminder.
Do I already have to have a regular journaling practice?
No journaling experience is necessary. We explain exactly how it works.
Why do some people speak and others type their entries?
We want to investigate whether the type of input influences the ability to monitor the emotional state. We therefore compare the results of the two groups "speaking" and "typing".
Can I choose whether I speak or type my entries?
As a free choice would impair the validity of our study, this is unfortunately not possible. The allocation to the groups is random.
I have a pre-existing mental illness. Can I still take part?
Journaling is also suitable for people with a pre-existing mental illness. These participants are therefore also very welcome. However, participation is not possible if there is an acute mental health crisis that requires action, such as acute suicidal tendencies. In this case, inpatient treatment would be indicated and the support provided by JAM-STEP would not be sufficient.
What happens in the event of acute deterioration?
If you notice a significant deterioration in your mood, please contact our study team (jam-step@med.uni-tuebingen.de) or your nearest psychiatric clinic.
Project participants

Prof. Dr. med. Tobias Renner
Medical Director




Wissenschaftlicher Mitarbeiter
Publications: Publikationen


B.Sc. Michelle Schlicher
Master student computer science
Further links
More information on the use of artificial intelligence in the field of mental health
You can find more information on the use of artificial intelligence in the field of mental health on the WHO website.
Learn moreMore information on journaling for mental health
Would you like to find out more about using journaling to improve your mental health? Here you can find an interview between ZDF and the freelance psychologist Andrea Heine on this topic.
To the articlePromotion
Sources:
- Techniker Krankenkasse. TK Health Report 2023: Students are worse off than before the pandemic, 2023. https://www.tk.de/presse/themen/praevention/gesundheitsstudien/tk-gesundheitsreport-2023-2149758, accessed June 04, 2024.
- Lanquillon, C., Schacht, S. (2023). Artificial intelligence: An overview. In: Knowledge Science - Fundamentals. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-41689-8_2
Publications
Selected publications
Study is currently being conducted; study protocol is in preparation:
- Schmitt, Schlicher (in prep) Monitoring Students' Well-Being through Journal Analysis - Study Protocol of an Explorative Approach Using NLP on Typed and Transcribed Entries to Monitor and Generate Personalized Feedback.