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
PC-MCLD: Pose-Constrained and Multi-focal Conditioned Latent Diffusion for Person Image Synthesis
Hanieh Fazli - Reza Azmi
A Blockchain Architecture for Secure, High-Speed P2P Energy Trades with Game-Theoretic Coalition Formation
Amin Aboutalebi Najafabadi - Seyed Hossein Hosseinian
تشخیص ارتباط معنایی در استکاورفلو با رمزگذار جمله جهانی
مجید دلیری - جعفر حبیبی - عیسی انامرادنژاد
Load Balancing in Software-Defined Networks Using Multi-Level Thresholds and Hybrid Switch Migration Strategies
Alireza Karimi - Mohammad yousef Darmani
مدل یادگیری ماشین برای تشخیص تقلب در کارتهای اعتباری با رویکرد بهینهسازی AUC و تنظیم خودکار ابرپارامترها
محمد مهدی متولی
هوش مصنوعی در جنگ شناختی
محمدعلی محمدی - سمیه محمدی
Customer Churn Prediction Using Data Mining Techniques for an Iranian Payment Application
Olya Rezaeian - Dr ُSeyedhamidreza Shahabi Haghighi - Dr Jamal Shahrabi
جانمایی توزیعشده محتوا برای ذخیرهسازی موقت در شبکههای سلولی کوچک با حضور کاربران مخرب
زهرا رشیدی - دکتر وصال حکمی - حانیه سلمانطاهری زهرا رشیدی - وصال حکمی - حانیه سلمانطاهری -
Binary water stream algorithm: a new meta-heuristic optimization technique
Faezeh Rahimi Sebdani - Mehdi Nasri
Enhancing QSAR Modeling: A Fusion of Sequential Feature Selection and Support Vector Machine
Farzaneh Khajehgili-Mirabadi - Mohammad Reza Keyvanpour
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.2