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
Examining Ethical Principles in the Development of AI for Environmental Protection with a Focus on Environmental Justice
Maryam Saadaat Nabavi Meybodi
Optimization of Neural Data Processing with Distributed Algorithms: An Analysis of the Application of Distributed Algorithms in Neural Image and Signal Processing for Feature Extraction Speed and Accuracy Enhancement
Arian Baymani - Maryam Naderi Soorki
A Comprehensive Approach to Predicting Customer Churn with XGBoost
Reza Najari - Mehdi Sadeghzadeh
White blood cell image analysis using CNN model
Fahimeh Jahanbakhshi - Hamid Latifi
Empowering Decision-Making in Venture Investments: A Systematic Review of Machine Learning Applications for Predicting Startup Success
Seyed Mohammad Javad Toghraee - Hadi Nilforoushan - Nafiseh Sanaee
Enhancing IoT Data Prediction Accuracy Using Deep Learning and Metaheuristic Algorithms
Safoura Ashoori - Khadigh Nemati - Mohamad hadi Amini
Enhancing Telecom Recommendation Systems through Customer Profiling and Graph Neural Networks (GNN) on Graph Data
Jaber Alavi - Mahmood Neshati
Empowering Businesses through AI: A Strategic Approach to Implementation
Ramin Feizi - Parham Soufizadeh - Kaveh Yazdifard
Deep Learning in Eye diseases diagnosis
Mohammad Shojaeinia - Hamid Moghaddasi
Early Detection of Congestive Heart Failure in Coronary Artery Disease Patients Using ECG Based Hybrid CNN-LSTM Model
Seyyed Ali Zendehbad - Farinaz Azari - Hadi Dehbovid
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.1.5