QoE modeling for audiovisual associated with MOBA game using subjective approach

Abstract

With the advancement of multimedia communications and information technologies, online video games have become very popular recreational activities worldwide, while Multiplayer Online Battle Arena (MOBA) games have gained immense popularity from game players in recent times. Therefore, based on quality of experience, audiovisual quality evaluation models for MOBA games have been proposed in this study. The subjective data from 210 game players (both males and females) about audio quality during conversation, the video quality, the overall quality, and the weighted percentage of video and voice have been collected from small competition events of the Garena ROV (Arena of Valor) in Hua Hin, Thailand. The data from 160 game players have been used to create the models, while the data from 50 game players have been applied for model performance evaluation. After developing the models, Mean Absolute Percentage Error (MAPE) technique has been utilized for model evaluation. On completion of this study, it was found that two thirds of the proposed models provide better performance than the other previous works. All of them, called MOS Audiovisual-MOBA1 model, MOS Audiovisual-MOBA2 model and MOS Audiovisual-MOBA3 model, show excellent performances with MAPE values of 4.95%, 5.92% and 4.75% respectively. Therefore, excellent performance of these proposed models becomes one of the contributions of this study. Also, this evidence of excellent model performance makes the proposed models ideal for utilization for assessment of audiovisual quality of the MOBA games. All audiovisual quality evaluation models provide excellent efficiencies.

Emotional analysis of multiplayer online battle arena games addiction

“…Video gaming has emerged as one of the most popular recreational activities globally ( Griffiths et al, 2012 ; Pornpongtechavanich et al, 2022 ). Initially perceived as a mild leisure pursuit, video games have been demonstrated to possess addictive features, particularly in strategy video games like multiplayer online battle arena (MOBA) ( Nuyens et al, 2016 ; Han et al, 2020 ).…”

“…Conducting an assessment of game and players’ experience using multiple system, user, and context influence parameters, Suznjevic et al (2019) provided references for future Quality of Experience (QoE) assessment tools to analyze reports on MOBA gamers’ self-evaluation. Building upon this assessment, Pornpongtechavanich et al (2022) constructed a QoE model incorporating human, context, and system factors to explore the impact of MOBA game quality on players’ game perception. They scrutinized influential factors on game quality and audio-visual quality assessment, encompassing the player’s emotional state, physical and mental constitution, social background and perceptions; the external physical and social environment, service content and innovativeness; as well as the game system itself ( Pornpongtechavanich et al, 2022 ).…”

“…Building upon this assessment, Pornpongtechavanich et al (2022) constructed a QoE model incorporating human, context, and system factors to explore the impact of MOBA game quality on players’ game perception. They scrutinized influential factors on game quality and audio-visual quality assessment, encompassing the player’s emotional state, physical and mental constitution, social background and perceptions; the external physical and social environment, service content and innovativeness; as well as the game system itself ( Pornpongtechavanich et al, 2022 ). The model lays a theoretical foundation for further exploration of the affective analysis of MOBA game addiction.…”

Weighted neighborhood classifier based on fuzzy neighborhood rough sets and its application to evaluate quality of experience for online gaming

“…Furthermore, there is also research on the influence of user and contextual factors on the QoE of online gaming in addition to the traditional network metrics 3,4 . There are currently two main categories of modeling approaches for QoE evaluation models of online gaming: statisticallybased methods and machine learning-based methods [5][6][7][8] . With respect to the QoE evaluation for other services, related methods based on extended approximate models have been applied and shown to be effective for QoE evaluation 9,10 .…”

What Motivates Mobile Legends: Bang Bang Players' Loyalty and In-App Purchases? Investigation of Perceived Values Effect: Playfulness, Addiction, and Good Price (Evidence from Indonesia)

“…In terms of devices, the number of mobile device users in Indonesia has reached 370.7 million devices used by all Indonesians (Kemp, 2022). This trend is driving the growing popularity of online mobile gaming, which makes it easier for individuals to play video games via smartphones than it was previously when the game was only available to PC and console users (Nurfauzan & Thangchan, 2021;Pornpongtechavanich et al, 2022). Moreover, the COVID-19 pandemic made 46% of Indonesia's total population switch to online games (Siste et al, 2020).…”