Serious games and AI: challenges and opportunities for computational social science

J Pérez, M Castro, G López - IEEE Access, 2023 - ieeexplore.ieee.org
The gaming industry plays a crucial role in the realm of entertainment within our society.
However, from Monopoly to Flight Simulators, serious games have also been appealing …

Emerging trends in play-to-earn (P2E) games

AR Duguleană, CR Tănăsescu… - Journal of Theoretical and …, 2024 - mdpi.com
This research aims to establish the primary drivers influencing the development and
consumers' decision-making process in web3 games—decentralized games that function …

On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning

Z Halim, M Rehan - Information Fusion, 2020 - Elsevier
Driving an automobile under high stress level reduces driver's control on vehicle and risk-
assessment capabilities, often resulting in road accidents. Driver's anxiety therefore is a key …

Deploying a robotic positive psychology coach to improve college students' psychological well-being

S Jeong, L Aymerich-Franch, K Arias… - User Modeling and User …, 2023 - Springer
Despite the increase in awareness and support for mental health, college students' mental
health is reported to decline every year in many countries. Several interactive technologies …

Identifying content unaware features influencing popularity of videos on youtube: A study based on seven regions

Z Halim, S Hussain, RH Ali - Expert Systems with Applications, 2022 - Elsevier
Predicting the popularity of User Generated Content (UGC) is a subject of interest to the
Internet service providers, content makers, social media researchers, and online advertisers …

PersoNet: Friend recommendation system based on big-five personality traits and hybrid filtering

H Ning, S Dhelim, N Aung - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Friend recommendation system (FRS) is an essential part of any social network system. With
the popularity of social network sites, many FRSs have been proposed in the past few years …

A novel binary chaotic genetic algorithm for feature selection and its utility in affective computing and healthcare

M Tahir, A Tubaishat, F Al-Obeidat, B Shah… - Neural Computing and …, 2022 - Springer
Genetic algorithm (GA) is a nature-inspired algorithm to produce best possible solution by
selecting the fittest individual from a pool of possible solutions. Like most of the optimization …

A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email

Z Halim, M Waqar, M Tahir - Knowledge-based systems, 2020 - Elsevier
Identification of emotion hidden in limited text is an active research problem. This work
presents a framework for the same using email text. The present work is based on machine …

[HTML][HTML] Semantics aware intelligent framework for content-based e-learning recommendation

H Ezaldeen, SK Bisoy, R Misra, R Alatrash - Natural Language Processing …, 2023 - Elsevier
E-learning accounts for the emergence of re-skilling, up-skilling, and augmenting the
traditional education system by providing knowledge delivery. The meaningful learning …

Mining user interest based on personality-aware hybrid filtering in social networks

S Dhelim, N Aung, H Ning - Knowledge-Based Systems, 2020 - Elsevier
With the emergence of online social networks and microblogging websites, user interest
mining has been an active research topic for the past few years. However, most of the …