0% Complete
English
صفحه اصلی
/
چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Exploring the Relationship Between Gameplay Log Data and Depression & Anxiety
نویسندگان :
Soroush Elyasi
1
Arya Varasteh Nezhad
2
Fattaneh Taghiyareh
3
1- دانشگاه تهران
2- دانشگاه تهران
3- دانشگاه تهران
کلمات کلیدی :
Data Analytics،Behavioral Analysis،Human-Computer Interaction،Mental Health Assessment،Serious Game،Depression and Anxiety
چکیده :
Depression and Anxiety are prevalent mental health disorders affecting millions worldwide. Identifying these disorders accurately and promptly is crucial to ensure that individuals can receive appropriate treatment. To address this issue, this paper proposes using a game to identify behavioral patterns that indicate depression and anxiety. Our study involved 56 university students. In this paper, we used statistical tools such as calculating Correlation, Linear Regression, Kolmogorov–Smirnov, ANOVA, and Mann–Whitney U test to analyze our data. For this research, we designed a shooter and a memory-based game that can challenge disorders by creating exciting and stressful moments. Using serious games offers several advantages over traditional methods, like increasing accuracy and reducing bias by removing self-reports and sampling with monitoring player behaviors for extended periods. Our results indicate that several parameters are significantly related to depression and anxiety. These parameters include the number of guesses and surrendering in memory games, manner of movements, losing perks, losing lives, number of enemies colliding with the player, and number of playing to win in shooter games. We also found that log size and skipping game tutorials in each game were related to depression and anxiety. Lastly, age and getting help from others were identified as significant factors. Overall, our research highlights the potential of games as an alternative tool for assessing and understanding depression and anxiety disorders. By leveraging the interactive nature of games, researchers and clinicians can gain valuable insights into individuals' mental health conditions, leading to improved identification and treatment outcomes.
لیست مقالات
لیست مقالات بایگانی شده
LuckyAgent2022: A Stop-Learning Multi-Armed Bandit Automated Negotiating Agent
Arash Ebrahimnezhad - Faria Nassiri-Mofakham
نقشه های شناختی فازی پیشرفته (FCM) رویکردی برای مدل سازی سیستم های پیچیده ی پویا
فریبا اسلامی امیرآبادی - کمال میرزایی بدرآبادی
Extending Interaction Flow Modeling Language as a Profile for Form-making Systems
Ghazaleh Shahin - Dr Bahman Zamani
Distributed coordination protocol for event data exchange in IoT monitoring applications
Behnam Khazael - Hadi Tabatabaee Malazi
Enhancing Supervised Learning in Speech Emotion Recognition through Unsupervised Representations
Niloufar Faridani - Amirali Soltani Tehrani - Ramin Toosi
A Biased Random Key Genetic Algorithm for the Dial-a-Ride Problem
ُSomayeh Sohrabi - Koorush Ziarati - Morteza Keshtkaran
ISPREC: Integrated Scientific Paper Recommendation using heterogeneous information network
Elaheh Jafari - Dr Bita Shams - Dr Saman Haratizadeh
طبقه بندی آسیبهای لیگامنت با استفاده از تحلیل تصاویر تشدید مغناطیسی توسط الگوریتمهای یادگیری عمیق
محسن اکبری - دکتر مریم مؤمنی محسن اکبری - مریم مؤمنی -
Exploring the Relationship Between Gameplay Log Data and Depression & Anxiety
Soroush Elyasi - Arya Varasteh Nezhad - Fattaneh Taghiyareh
Enhancing Employee Promotion Prediction with a Novel Hybrid Model Integrating Convolutional Neural Networks and Random Forest
Pouya Ardehkhani - Seyyed Reza Moslemi - Hanieh Hooshmand
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.2.4