0% Complete
صفحه اصلی
/
اولین همایش بین المللی هوش مصنوعی
Improving the Quality of Life: The Experience of Women with MS from AI Chatbot Program
نویسندگان :
Zahra Lotfi foroushani
1
1- university of Isfahan
کلمات کلیدی :
Multiple Sclerosis،Artificial Intelligence،AI Chatbots،Qualitative Method،Quality of Life
چکیده :
This study examines the impact of using artificial intelligence chatbots on improving the quality of life for women with multiple sclerosis (MS) in Iran. Using a qualitative method and semi-structured interviews, the experiences of women participating in relation to the functionality of AI chatbots were analyzed. The findings indicate that chatbots can play a significant role as supportive and informational tools in managing the disease, reducing anxiety, and improving communication for these women. Additionally, these tools assist in organizing daily tasks and reducing feelings of loneliness. Although some participants pointed to an excessive reliance on chatbots, overall, the results show more positive effects compared to the disadvantages of this technology. Ultimately, the research suggests that future studies should explore the psychological and ethical impacts of using chatbots more deeply.
لیست مقالات
لیست مقالات بایگانی شده
Attention-Based Noise Reduction for Surface-Electromyography: A Novel Method for Enhanced Signal Quality in Clinical Diagnostics
Seyyed Ali Zendehbad - Abdollah PourMottaghi - Marzieh Allami Sanjani
An Efficient Training-Free Resume Matching System with NLP-Based Extraction and Custom Scoring for Enhanced Candidate Selection
Reyhane Salehbeigi - Noushin Riahi
بهبود عملکرد پیشبینی دادههای IOT با رویکرد ترکیبی شبکه عصبی و الگوریتم ژنتیک
محمد هادی امینی - خدیجه نعمتی - صفورا عاشوری
AI Hugs the Theology of Peace, but friendly or backstabbing?
Aliasghar Ahmadi
Time Series Algorithms for Predicting Monthly Water Consumption
Mohsen Piri - Babak Nouri-Moghaddam - Abbas Mirzaei
Attention Mechanisms in Deep Learning for Multiple Sclerosis Classification
Mahdie Azizi hashjin - Mahsa Yaghoobi - Babak Nouri-Moghaddam
A Novel Fixed-Parameter Activation Function for Neural Networks: Enhanced Accuracy and Convergence on MNIST
Najmeh Hosseinipour-Mahani - Amirreza Jahantab
From Nodes to Themes: A Social Network Analysis and Thematic Progress in the field of Biomedical Ontologies
Elaheh Hosseini - Maral Alipour Tehrani - Hadi Zare Marzouni
Evaluating Parkinson’s Disease Severity Through Attention-Based STGCN and S2AGCN Models Utilizing Kinect Skeleton Images
Fatemeh Fadaei Ardestani - Nima Asadi
Efficient and Accurate Fairness Verification for Quantum Variational Circuits
Sajjad Hashemian Meymandi - Mohammad Saeed Arvenaghi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.4