Development of a Chatbot Powered by Artificial Intelligence to Diagnose and Improve Stress and Anxiety Levels in University Students

Stress and anxiety among university students have become a significant issue, negatively impacting their academic performance and personal lives. To address this problem, an AI-powered chatbot was developed to provide personalized support based on Cognitive Behavioral Therapy (CBT) techniques. The chatbot offers multimodal interaction, cross-platform availability, and a user-centric design to enhance accessibility and engagement. An experiment was conducted with 47 Peruvian university students aged 19–26 to assess the chatbot's usability using the System Usability Scale (SUS). The results revealed an average SUS score of 82.13, indicating high usability compared to other digital health applications and chatbots, and promising stress and anxiety levels reduction, measured with the GAD-7 and PSS-14 surveys. The chatbot's effectiveness may vary among individuals, and ongoing research and optimization are necessary. However, this innovative solution demonstrates the potential of AI-driven chatbots in providing accessible mental health support for university students, contributing to their overall well-being and academic success.

Authors

Institutions

Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/intercon63140.2024.10833503
Citations
3
Primary Topic
Health and Well-being Studies
Type
article
Field-Weighted Citation Impact
1.92
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a Chatbot Powered by Artificial Intelligence to Diagnose and Improve Stress and Anxiety Levels in University Students

Rudolf Felix, A.R. Ferreira da Silva, Gabriel De la Puente
3 citations
Health and Well-being Studies
1.92
article

Development of a Chatbot Powered by Artificial Intelligence to Diagnose and Improve Stress and Anxiety Levels in University Students

Rudolf Felix, A.R. Ferreira da Silva, Gabriel De la Puente
article en
3 citations

Abstract

Stress and anxiety among university students have become a significant issue, negatively impacting their academic performance and personal lives. To address this problem, an AI-powered chatbot was developed to provide personalized support based on Cognitive Behavioral Therapy (CBT) techniques. The chatbot offers multimodal interaction, cross-platform availability, and a user-centric design to enhance accessibility and engagement. An experiment was conducted with 47 Peruvian university students aged 19–26 to assess the chatbot's usability using the System Usability Scale (SUS). The results revealed an average SUS score of 82.13, indicating high usability compared to other digital health applications and chatbots, and promising stress and anxiety levels reduction, measured with the GAD-7 and PSS-14 surveys. The chatbot's effectiveness may vary among individuals, and ongoing research and optimization are necessary. However, this innovative solution demonstrates the potential of AI-driven chatbots in providing accessible mental health support for university students, contributing to their overall well-being and academic success.

Peruvian University of Applied Sciences (PE)
Openalex Percentile: Top 13%
Health and Well-being Studies
1.92
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.