Mobile Video Users Research Articles

Research On Influencing Factors of Mobile Short Video Users' Health Information Avoidance Behavior

This paper aims to maximize the attention of different users to avoid health information and reduce its negative impact, so as to maintain the balance and stability of the mobile short video health information ecosystem. Based on the S-O-R theory and the theory of information ecology, this paper constructs a model of the influencing factors of health information avoidance behavior of mobile short video users, puts forward a research hypothesis, and analyzes it by combining the structural equation model method. The results show that mobile short video users' health information avoidance behavior involves the interweaving of multiple factors. The emotional and cognitive factors of users play a mediating role in the influence of information elements, environmental factors and technical factors on health information avoidance. There are differences in the impact of external stimuli on the internal state of users with different levels of demand for health information.

Research on the Influencing Factors of Social Behavior under Mobile Short-sighted Frequent Broadcasting

As a new form of social media, mobile short video has attracted much attention. However, there is still a lack of research on the influencing factors of mobile short video communication effect. Firstly, this paper introduces the current situation of social behavior development and the future planning of social behavior under mobile short-sighted broadcasting, and then this paper discusses the influencing factors of users' social behavior under mobile short-sighted broadcasting through questionnaire survey and data analysis. The results show that the main factors affecting the short video communication effect are users' sharing behavior, attention behavior, praise behavior and comment behavior, among which sharing behavior contributes the most to the short video communication effect. In the future, the number and scale of mobile short video users will continue to expand, and the influence of users' social behavior on the short video communication effect will be more obvious. Therefore, the platform needs to strengthen the guidance of users' social behavior, improve the communication effect of short videos, let more people share, pay attention to, like and comment, and the content will be more widely spread. In a word, in the end, this paper discusses the influencing factors of social behavior under mobile short-sighted frequent broadcasting, and gives some strategic suggestions and prospects for future development of the platform to guide user behavior. This is of great significance for improving the communication effect of mobile short video, promoting the development of mobile short video industry and promoting user participation.

The Influence of TikTok on the Establishment of Adolescent Self-esteem

Nowadays, TikTok is getting popular over the world. By June 2021, China has 1.164 billion Internet users. Mobile video users in China are as high as 97.7%. In these people, teenagers are the primary users. This article explained the relationships between TikTok and the establishment of adolescent self-esteem through prior research papers in this field. This article can supplement the research on teenagers’ mentality. This article finds that TikTok has a negative on the establishment of adolescent self-esteem, which influences their growth and health. Besides, this article predicts the future tendency of this relationship. The author suggests that society and parents should focus more on teenage users in TikTok, helping teenagers to build a healthy mentality.

Research on the Influence of Mobile Short Video Platform Recommendation Information Characteristics on User Stickiness

The outbreak of the scientific and technological revolution has brought about the vigorous development of the digital economy. Many short video APPs have gradually come into people’s sight and become important tools for leisure and entertainment. At this time, improving user stickiness has become the key to their competitiveness and long-term development. As a major feature of short video platform, information recommendation plays an important role in the sticky behavior of users. Therefore, targeted research on the internal mechanism of platform recommendation information features for user stickiness will help to improve the platform user stickiness. Based on the stimulus organism response theory, this paper constructs a theoretical model of the impact of the characteristics of recommendation information on the user’s sticky behavior during the use of mobile short video, and investigates 336 mobile short video platform users through online questionnaires. The research shows that the accuracy, benefit, interest and surprise of mobile short video recommendation information have a positive impact on users’ flow experience and sticky behavior; The flow experience has a positive impact on the sticky behavior of mobile short video users. This paper puts forward management suggestions for the management and operators of mobile short videos to help them optimize the design of their products, and recommends more accurate, profitable, interesting and surprising information based on user characteristics to stimulate users’ flow experience, thus improving users’ stickiness and helping enterprises achieve long-term development.

A Cognitive-Emotional Model From Mobile Short-Form Video Addiction to Intermittent Discontinuance: The Moderating Role of Neutralization

Discontinuance is considered very effective in the treatment of IT addiction. However, prior literature on the mechanism from IT addiction to discontinuance has reached inconsistent conclusions. Also, scholars cannot explain why some individuals do not make any changes after becoming addicted, even when they realize that their behavior is not in line with the norms. To fill the gaps, our research developed a cognitive-emotional model, with neutralization as a moderator, to understand the internal mechanism from mobile short-form video addiction to intermittent discontinuance. Based on the online survey of 493 Chinese mobile short-form video users, this study used partial least squares structural equation modeling (PLS-SEM) to empirically verify our model and hypothesis. The results show that mobile short-form video addiction positively affects cognitive dissonance and emotional fluctuation. And cognitive dissonance and emotional fluctuation are found to have a positive effect on intermittent discontinuance through attitudinal ambivalence. Furthermore, neutralization negatively moderates the relationship between cognitive dissonance and attitudinal ambivalence, emotional fluctuation and attitudinal ambivalence. Theoretical and practical implications of these findings are discussed.

Incentivizing Mobile Video Users With Data Sponsoring and Edge Caching

Recently, edge caching has emerged as a new data sponsoring scheme, where the devices on the edge network, e.g., 4G/5G base stations, cache video contents and directly delivery them to mobile video users. Such caching schemes have significantly decreased the backhaul congestion, reduce the delivery latency, thus attract more mobile video users and monetize a huge number of videos. In this paper, we consider a hybrid caching schemes system, which combines edge cache sponsoring (ECS) and traditional cellular data sponsoring (CDS), where the content providers display advertisements to mitigate the cellular data downloading expense and provide attractive contents for mobile video users. In the system, we investigate the cooperative scenario and the competitive scenario between the two sponsoring schemes, and a mobile video user can select one scheme or neither of them for the requests of a video. In the first scenario, we focus on achieving the maximal total benefit of content providers by optimizing CDS and ECS schemes together. In the second scenario, we separately optimize ECS and CDS schemes and maximize the benefits of corresponding content providers. To illustrate the effectiveness of the two scenarios, we formulate the system as a two-stage game: 1) in the first stage, content providers (i.e., leaders) choose the sponsor effort in sponsor schemes (cooperatively or competitively); 2) in the second stage, mobile video users (i.e., followers) select their sponsor preferences. We conduct numerical results to explore the sub-game perfect equilibrium and find that the joint utilization of the two sponsor schemes can benefit the mobile video users, i.e., when ECS and CDS compete with each other, MUs can benefit 36% ~ 140% more than the case where there exists only one sponsor scheme. While when CPs cooperate with each other, their total payoff is maximized, the mobile video users' payoff also increases. Moreover, we find that ECS can benefit the content providers more than CDS when sponsor revenue is high, and this indicates that ECS is a promising sponsor scheme for the high-value contents.

모바일 동영상 사용자의 UI 디자인 사용성 평가 및 사후행동의 관계 분석 -20~30대를 중심으로-

모바일 동영상 사용자의 UI 디자인 사용성 평가 및 사후행동의 관계 분석 -20~30대를 중심으로-

Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design

Adaptive bitrate streaming enables video users to adapt their playing bitrates to the real-time network conditions, hence achieving the desirable quality-of-experience (QoE). In a multi-user wireless scenario, however, existing single-user based bitrate adaptation methods may fail to provide the desirable QoE, due to lack of consideration of multi-user interactions (such as the multi-user interferences and network congestion). In this work, we propose a novel user cooperation framework based on user-provided networking for multi-user mobile video streaming over wireless cellular networks. The framework enables nearby mobile video users to crowdsource their cellular links and resources for cooperative video streaming. We first analyze the social welfare performance bound of the proposed cooperative streaming system by introducing a virtual time-slotted system. Then, we design a low complexity Lyapunov-based online algorithm, which can be implemented in an online and distributed manner without the complete future and global network information. Numerical results show that the proposed online algorithm achieves an average 97% of the theoretical maximum social welfare. We further conduct experiments with real data traces, to compare our proposed online algorithm with the existing online algorithms in the literature. Experiment results show that our algorithm outperforms the existing algorithms in terms of both the achievable bitrate (with an average gain of 20% - 30%) and social welfare (with an average gain of 10% - 50%).

Multi-Dimensional Auction Mechanisms for Crowdsourced Mobile Video Streaming

Crowdsourced mobile video streaming enables nearby mobile video users to aggregate network resources to improve their video streaming performances. However, users are often selfish and may not be willing to cooperate without proper incentives. Designing an incentive mechanism for such a scenario is challenging due to the users’ asynchronous downloading behaviors and their private valuations for multi-bitrate encoded videos. In this paper, we propose both the single-object and multi-object multi-dimensional auction mechanisms, through which users sell the opportunities for downloading single and multiple video segments with multiple bitrates, respectively. Both the auction mechanisms can achieve truthfulness (i.e., truthful private information revelation) and efficiency (i.e., social welfare maximization). Simulations with real traces show that crowdsourced mobile streaming facilitated by the auction mechanisms outperforms noncooperative streaming by 48.6% (on average) in terms of social welfare. To evaluate the real-world performance, we also construct a demo system for crowdsourced mobile streaming and implement our proposed auction mechanism. Experiments over the demo show that those users who provide resources to others and those users who receive help can increase their welfares by 15.5% and 35.4% (on average) via cooperation, respectively.

A system perspective on revenue sharing in the mobile value chain: an evidence from China mobile video ecosystem

PurposeHyperconnectivity and supercooperation among partners within the mobile value chain are crucial factors for sustainable growth of the mobile ecosystem. This study aims to identify the complex structure of hyperconnectivity and supercooperation underlying revenue sharing practices and the actions and reactions of Chinese mobile video triads.Design/methodology/approachThis study uses the causal loop diagram and system dynamics simulation to demonstrate the feedback causal structure wherein the revenue sharing (RS) rule adjustments trigger interactions among participants (e.g., MNOs, SPs and CPs) in mobile video service triads, leading to fluctuations in the number of mobile video users and total revenue in the mobile video value chain.FindingsChange of RS rules among value chain participants is an incentive for achieving the sustainability of the mobile ecosystem, as examined using a system dynamics (SD) simulation. However, from the perspective of a tri-partite mobile value chain, the “accidental adversary” system archetype caused by adjustment of RS rules has an unintended negative impact on counterparts in the mobile ecosystem value chain.Originality/valueThis study analyzes a complex feedback causal structure based on structural interdependencies among growth, limiting and relaxing loops in the Chinese mobile video ecosystem. The result of SD simulation suggests strategic alternatives such as the “growth and underinvestment” systems archetype to overcome “limits to growth”. Moreover, this study explores the accidental adversary archetype in complex and complicated mobile service triads as an impediment to achieving sustainability of the mobile ecosystem.

When 5G meets ICN: An ICN-based caching approach for mobile video in 5G networks

The dramatic increasing demand for video from mobile users (MU) has imposed huge pressure on cellular networks. By using the millimeter wave (mmWave) technique, the fifth generation (5G) networks can provide rich bandwidth to satisfy the requirements for high quality mobile video and alleviate the traffic pressure. However, the shorter transmission range of mmWave leads mobile users in 5G network suffer frequent handoffs and long connection delays which degrades the Quality of Experience (QoE) for mobile video users. How to improve QoE for mobile video users has become a crucial challenge.Information-centric-networking (ICN) is a promising paradigm to mitigate this challenge as its in-network caching can bring videos closer to users, which can reduce network traffic and video retrieval delay significantly. In this paper, we propose an ICN-based caching approach that considers both the mobility of users and the popularity of videos. While user mobility has rarely been considered in existing works, in this paper, user mobility is exploited to reduce the retrieval delay caused by frequent handoffs. Videos can be retrieved from the router which is directly connected to the base station (BS) instead of the original content provider when a handoff happens. Consequently, the retrieval delay caused by frequent handoffs can be significantly reduced. Simulations results show that our ICN-based approach outperforms the traditional IP-based RAN caching and the cooperation-driven ICN-based caching scheme (CDIC) in terms of retrieval delay and network traffic deduction.

Traffic management in the mobile edge cloud to improve the quality of experience of mobile video

The use of mobile network traffic is increasing due to the development of communication devices such as smart phones. Data traffic accounts for more than voice traffic. Video traffic accounts for the largest proportion of mobile data traffic and this proportion is increasing. However, various mobile environments affect the status of the mobile network and limit the provision of video services using the Internet. Therefore, a method for improving the quality of experience (QoE) of a video service in mobile environments is required. This paper presents a traffic management method using the mobile edge cloud. The mobile edge cloud is placed in the mobile edge network and monitors the status of mobile terminals. Through the mobile edge cloud, it becomes possible to effectively manage the traffic of mobile terminals by the network. The proposed method manages video traffic from the content server on the Internet according to the edge network status and mobility of a mobile terminal, and provides video traffic to mobile terminals. This method, using the mobile edge cloud, leads to improvement of the QoE for mobile video users. The superiority of this method compared to currently available systems was validated by computer simulation.

Understanding Performance of Edge Content Caching for Mobile Video Streaming

Today’s Internet has witnessed an increase in the popularity of mobile video streaming, which is expected to exceed 3/4 of the global mobile data traffic by 2019. To satisfy the considerable amount of mobile video requests, video service providers have been pushing their content delivery infrastructure to edge networks—from regional content delivery network (CDN) servers to peer CDN servers (e.g., smartrouters in users’ homes)—to cache content and serve users with storage and network resources nearby. Among the edge network content caching paradigms, Wi-Fi access point caching and cellular base station caching have become two mainstream solutions. Thus, understanding the effectiveness and performance of these solutions for large-scale mobile video delivery is important. However, the characteristics and request patterns of mobile video streaming are unclear in practical wireless network. In this paper, we use real-world data sets containing 50 million trace items of nearly 2 million users viewing more than 0.3 million unique videos using mobile devices in a metropolis in China over two weeks, not only to understand the request patterns and user behaviors in mobile video streaming, but also to evaluate the effectiveness of Wi-Fi and cellular-based edge content caching solutions. To understand the performance of edge content caching for mobile video streaming, we first present temporal and spatial video request patterns, and we analyze their impacts on caching performance using frequency-domain and entropy analysis approaches. We then study the behaviors of mobile video users, including their mobility and geographical migration behaviors, which determine the request patterns. Using trace-driven experiments, we compare strategies for edge content caching, including least recently used (LRU) and least frequently used (LFU), in terms of supporting mobile video requests. We reveal that content, location, and mobility factors all affect edge content caching performance. Moreover, we design an efficient caching strategy based on the measurement insights and experimentally evaluate its performance. The results show that our design significantly improves the cache hit rate by up to 30% compared with LRU/LFU.

Efficient P2P Live Video Streaming Over Hybrid WMNs Using Random Network Coding

As random network coding (RNC) considerably increases the network throughput, it has been of great interest for video streaming over wireless mesh networks (WMNs). However, mobile video users suffe...

Femtocaching in video content delivery: Assignment of video clips to serve dynamic mobile users

Online video streaming has been experiencing great popularity in recent years, and an increasing number of video contents are now delivered via wireless networks, which brings an overwhelming burden towards mobile operators. Femtocells are introduced to improve the area spectral efficiency of wireless video delivery via short link transmission. The backhaul pressure in the presence of dense deployment of femtocells can be reduced by the technologies of femtocaching. In this paper, video clip selection and video clip assignment problems are considered for femtocaching. On one hand, since mobile users always pursue the video clips that are highly popular and can be played smoothly, it is important to ensure the satisfaction of mobile users. On the other hand, the assignment of multiple video clips among multiple femto-caches is also significant as the capacity of each cache is limited. To model the video selection dynamics of mobile users, an evolutionary game is introduced and two algorithms are proposed to result in an evolutionary stable strategies, which correspond to the balance of video popularity and video quality. For the video assignment problem, the auction-based algorithms are proposed with low complexity to approximate the social optimality with the limited caching capacities. As a consequence, all femtocells and mobile video users are satisfied with their utilities respectively.