PRE2024 3 Group17
Students
| Names | Student number | |
|---|---|---|
| Bridget Ariese | 1670115 | b.ariese@student.tue.nl |
| Sophie de Swart | 2047470 | s.a.m.d.swart@student.tue.nl |
| Mila van Bokhoven | 1754238 | m.m.v.bokhoven1@student.tue.nl |
| Marie | 1739530 | m.a.a.bellemakers@student.tue.nl |
| Maarten | 1639439 | m.g.a.v.d.loo@student.tue.nl |
| Bram van der Heijden | 1448137 | b.v.d.heijden1@student.tue.nl |
Milestones
Week 1
- mail sturen met topic en groep
- project setup
Week 2
background research + write introduction
Week 3
prepare interviews/survey + write lit review
Week 4
do interviews/survey
Week 5
analyse interviews
Week 6
write result section
Week 7
write discussion
Week 8
prepare presentation + finish up report
Task division
| Name | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 6 | Week 7 | Week 8 |
|---|---|---|---|---|---|---|---|---|
| Bridget | State of the art (6 art) | |||||||
| Sophie | State of the art (3/4 art) + Problem Statement | |||||||
| Mila | State of the art (3/4 art) + Users, Milestones, Deliverables, task Division | |||||||
| Marie | State of the art (3/4 art) + Approach | |||||||
| Maarten | State of the art (6 art) | |||||||
| Bram | State of the art (3/4 art) + User Requirements |
Work
problem statement: long waiting times for psychologists ... (sophie)
users: Our users are students who are struggling with mental health challenges like loneliness, depression, anxiety, and stress but feel like their issues aren’t "serious enough" to see a psychologist.
user requirements: (bram)
approach: eigen gpt maken in chatgpt? ... (marie)
deliverables: We will write a report with a literature review and either quantitative or qualitative research, plus a presentation to share our findings. On top of that, we might build a custom GPT and train it as a product if it fits the project.
task division: After the tutor meeting on Monday, we’ll meet as a group to go over the tasks for the coming weeks. Based on any feedback or new insights from the meeting, we’ll divide the work in a way that makes sense for everyone. Each week, we’ll check in, see how things are going, and adjust if needed to keep things on track. This way, we make sure the workload is shared fairly and everything gets done on time.
Literature Review
state of the art (25 articles): (3/4 pp, Maarten en Bridget 6)
Mila:
- Zhang, J., & Chen, T. (2025). Artificial intelligence based social robots in the process of student mental health diagnosis. Entertainment Computing, 52, 100799. https://doi.org/10.1016/j.entcom.2024.100799
- Eltahawy, L., Essig, T., Myszkowski, N., & Trub, L. (2023). Can robots do therapy?: Examining the efficacy of a CBT bot in comparison with other behavioral intervention technologies in alleviating mental health symptoms. Computers in Human Behavior: Artificial Humans, 2(1), 100035. https://doi.org/10.1016/j.chbah.2023.100035
- Jeong, S., Aymerich-Franch, L., Arias, K. et al. Deploying a robotic positive psychology coach to improve college students’ psychological well-being. User Model User-Adap Inter 33, 571–615 (2023). https://doi-org.dianus.libr.tue.nl/10.1007/s11257-022-09337-8
- Edwards, A., Edwards, C., Abendschein, B., Espinosa, J., Scherger, J. and Vander Meer, P. (2022), "Using robot animal companions in the academic library to mitigate student stress", Library Hi Tech, Vol. 40 No. 4, pp. 878-893. https://doi.org/10.1108/LHT-07-2020-0148