Streaming Technology Research Articles

EXPRESS: Feeling Grounded: Exploring the Sense of Groundedness in Cultural Tourism Driven by Live Streaming Technology

As information and communication technology advances, the on-site experience of traditional field tourism is being transformed into a virtual experience under digital tourism. The sense of groundedness occurs when tourists connect to the geography, humanity, and history of destination. Little is known about how technology, marketing, and tourism resources can be combined to enrich the authenticity of the virtual tourism experience. This study explores the main characteristics of groundedness in cultural tourism to address this research gap. It develops and validates the scale for measuring tourism experience based on live streaming technology. The findings also reveal groundedness as a driver of tourists’ willingness and behavior to participate. The study theoretically promotes the development of groundedness and the emerging research on digital cultural tourism marketing. Meanwhile, the study results provide stakeholders with an attractive and implementable tourism perceptual experience, groundedness, implying references for overall sustainable destination development.

Penerimaan Aplikasi Loklok Menggunakan Metode Technology Acceptance Model (TAM) oleh Masyarakat Jakarta

Nowadays, the development of communication and information technology has brought major chages in various aspect of life, one of them is in entertainment aspects. For example video streaming technology. Video streaming technology has been part of modern society. Loklok is of video streaming technology application which is popular in Indonesia. The purpose of this research is to analyze the acceptance video streaming technology on Loklok application and find out whether it can be generally acceptance by the people of Jakarta. This research was done for loklok application users. Loklok is an application or platform that provides video streaming services with many varieties of genres such Korean dramas, western films and animations. The conceptual model of technology acceptance assessment is based on the Technology Acceptance Model (TAM), which is a research model that analyzes the factors that influence the acceptance of computer technology. The statistical analysis used is the partial least squares structural equation model. This research uses quantitative methods with data collection techniques in the form of filling out online questionnaires through Google Forms with the number of respondents determined by the Slovin formula and sampling techniques using simple random sampling. This study uses PLS-SEM data analys with SmartPLS tools with a sample size of 100. The results of this study indicate that the variables Perceived Usefulness -> Attitude of use, Perceived ease of use -> Attitude of use, Attitude of use - > Behavioral Intention Of Use and Behavioral Intention Of Use -> Actually System Use are positive which means that the LokLok application is well received by the Jakarta Community.

How retailers can gain more profitability driven by digital technology: Live streaming promotion and blockchain technology traceability?

Live streaming in e-commerce often faces challenges like counterfeit products and high return rates. To mitigate this issue, retailers can adopt blockchain technology for product traceability to enhance consumer trust, i.e., blockchain-traceable products may be sold in live streaming. Our paper presents three analytical models under various return policies to explore how live streaming and blockchain technology interact in e-commerce. Retailers can invest in live streaming with influencers to attract consumers and in blockchain technology to reduce product returns, benefiting from a demand-enhancing effect and a price-enhancing effect, respectively. The retailer’s investment strategy between live streaming and blockchain technology depends on the interactions of these two effects, moderated by the retailer’s budget type, the market commission level of live streaming, and the traceability cost of blockchain technology. For budget-constrained retailers, live streaming and blockchain technology act as substitutes. When the commission level is low (high) and the traceability cost is high (low), the demand-enhancing (price-enhancing) effect dominates the price-enhancing (demand-enhancing) effect, thus the retailer invests in live streaming (blockchain technology) as a substitute for blockchain technology (live streaming). Conversely, for budget-unconstrained retailers, they may act as complements, prompting investment in both when commission levels and traceability costs are low. The retailer does not invest in either when both the commission level and traceability cost are high. We extend our results to a full refund policy to show the robustness of our result and find that it reduces the retailer’s incentive to invest in live streaming or blockchain technology.

Analyze the Impact, Reasons, and Optimization Strategies of the Image of AI Anchors on Consumer Purchase Intention in Live Streaming E-commerce

The importance of live streaming e-commerce in online shopping is increasing with the continuous development of live streaming technology. Artificial intelligence (AI), as a disruptive force, has introduced virtual anchors in the live streaming field, replacing live anchors for product introduction and interaction. The virtual anchor image, with its anthropomorphic appearance, interacts with the audience in real-time and is gradually being applied in various fields such as e-commerce, advertising, and social platforms. This study reviews how the image of AI anchors in live streaming e-commerce affects consumer trust and personalized experience, and further explores its impact on consumer purchase intention. Research has found that virtual anchor images can be divided into human and animal images based on their appearance, and different images have different impacts on consumer purchasing intentions. Humanized virtual anchors establish trust relationships and stimulate purchase intentions through rich expressions and actions; Personalized and customized design enhances the attractiveness and sense of identity of virtual anchors. Finally, regarding the application of enterprises in the field of virtual anchors, this article proposes anthropomorphic design, personalized image, and cultural adaptability strategies to improve the commercial efficiency and brand image of virtual anchors.

Does Cognitive Function Affect Performance and Listening Effort During Bilateral Wireless Streaming in Hearing Aid Users?

: Wireless streaming technology (WT), designed to transmit sounds directly from a mobile phone to hearing aids, was developed to enhance the signal-to-noise ratio. However, the advantages of WT during phone use and the specific demographic that can fully benefit from this technology has not been thoroughly evaluated. We aimed to investigate the benefits and identify predictive factors associated with bilateral wireless streaming among hearing aid users. : Eighteen adults with symmetrical, bilateral hearing loss participated in the study. To assess the benefits of wireless streaming during phone use, researchers assessed sentence/word recognition and listening effort in two scenarios: a noisy background with WT turned "OFF" or "ON." Listening effort was evaluated through self-reported measurements. Cognitive function was also assessed using the Montreal Cognitive Assessment (MoCA) score. : Participant mean age was 57.3 years (range 27-70), and the mean MoCA score was 27.0 (23-30). The activation of WT demonstrated a significant improvement in the sentence/word recognition test and reduced listening effort. The MoCA score showed a significant correlation with WT (ρ=0.59, p=0.01), suggesting a positive association between cognitive function and the benefits of WT. : Bilateral wireless streaming may enhance sentence/word recognition and reduce listening effort during phone use in hearing aid users, with these benefits potentially linked to cognitive function.

Features and quality metrics datasets for video coding in DASH

Nowadays, the majority of media Internet traffic consists of H.264-encoded streaming videos due to its high compatibility. One of the most popular streaming technology used to deliver videos over Internet is Dynamic Adaptive Streaming over HTTP (DASH). It transmit the video as a sequence of independent short video segments tailored to the receiver’s limitations (related to several factors such as available bandwidth or resolution on reception), aiming to enhance the Quality of Experience. In this paper, we present two types of datasets created from 4065 video segments of 2 seconds. The first type consists of extracting features related to color, space, and time from the segments across different vertical resolutions (240, 360, 480, 720, 1080, 1440 and 4K). The second one includes several quality metrics obtained from the same segments when they are encoded with different compression levels in the different resolutions.

PAM: Predictive analytics and modules‐based computation offloading framework using greedy heuristics and 5G NR‐V2X

AbstractRecent advancements in distributed computing systems have shown promising prospects in enabling the effective usage of many next‐generation applications. These applications include a wide range of fields, such as healthcare, interactive gaming, video streaming, and other related technologies. Among such solutions are the evolving vehicular fog computing (VFC) frameworks that make use of IEEE and 3GPP protocols and use advanced optimization algorithms. However, these approaches often rely on outdated protocols or computationally intensive mathematical techniques for solving or representing their optimization models. Additionally, some of these frameworks have not thoroughly considered the type of application during their evaluation and validation phases. In response to these challenges, we have developed the “predictive analytics and modules” (PAM) framework, which operates on a time and event‐driven basis. It utilizes up‐to‐date 3GPP protocols to address the inherent unpredictability of VFC‐enabled distributed computing systems required in smart healthcare systems. Through a combination of a greedy heuristic approach and a distributed offloading architecture, PAM efficiently optimizes decisions related to task offloading and computation allocation. This is achieved through specialized algorithms that provide support to computationally weaker devices, all within a time frame of under 100 ms. To assess the performance of PAM in comparison to three benchmark methodologies, the evaluation pathways that we employed are average response time, probability density function, pareto‐analysis, algorithmic run time, and algorithmic complexity.

Investigating impulse purchases in live streaming e-commerce: A perspective of match-ups

Enabled by live streaming technologies, live streaming e-commerce (LSE) is becoming an increasingly promising marketing channel. Due to high entertainment and immersion, LSE greatly telescopes consumer decision journeys from awareness to purchase, thereby more readily stimulating consumer impulse purchase desire. This study reveals the influence of product-based fit on impulse purchases through affective and cognitive systems from the match-up perspective. The results indicate that both streamer-product fit and self-product fit enhance affective intensity and reduce perceived product risk. Unexpectedly, live content-product fit increases perceived product risk but has no significant impact on affective intensity. In addition, both streamer-product fit and live content-product fit enhance consumer perception of self-product fit, which, in turn, influences perceived product risks and affective intensity. However, emotion but not cognition breeds impulse purchase intention. Our findings can offer guidance for online retailers on how to utilize live streaming technology to increase sales.

Integrated bimodal fitting and binaural streaming technology outcomes for unilateral cochlear implant users

Objective Adults typically receive only one cochlear implant (CI) due to cost constraints, with a contralateral hearing aid recommended when there is aidable hearing. Standard hearing aids differ from a CI in terms of processing strategy and function as a separate entity, requiring the user to integrate the disparate signals. Integrated bimodal technology has recently been introduced to address this challenge. The aim of the study was to investigate the performance of unilateral CI users with and without an integrated bimodal fitting and determine whether binaural streaming technology offers additional benefit. Study sample Twenty-six CI users using integrated bimodal technology. Design Repeated measures where outcomes and user experience were assessed using a functional test battery more representative of real life listening (speech perception in noise tests, localisation test, tracking test) and the speech, spatial and qualities-of-hearing scale (SSQ). Results Bimodal outcomes were significantly better than for CI alone. Speech perception in noise improvements ranged from 1.4 dB to 3.5 dB depending on the location of speech and noise. The localisation and tracking tests, and the SSQ also showed significant improvements. Binaural streaming offered additional improvement (1.2 dB to 6.1 dB on the different speech tests). Conclusions Integrated bimodal and binaural streaming technology improved the performance of unilateral CI users.

Behavior in Using Video Streaming Technology: Facilitating Conditions and Habits

The research was motivated by the phenomenon of active Twitch users in Indonesia, both as streamers and viewers, which had decreased from the previous few years. When compared to neighboring countries such as China, Japan and Korea, Indonesia has the lowest number of total users. The decrease in the number of users has an impact on Twitch's market penetration efforts into Indonesia and for streamers from Indonesia who are building their careers on the Twitch website. Research was conducted to obtain an overview of the level of acceptance of Twitch video streaming technology in Bandung. The use of the UTAUT2 model was implemented to obtain factors influencing the level of acceptance of Twitch usage. The research method uses quantitative, namely distributing online surveys from Google Form to the population and samples using the purposive sampling method. Distributing the questionnaire via social media then collecting the data in Microsoft Excel and SPSS for data processing. The research results show that the behavior of using Twitch video streaming is influenced by facilitating conditions and habits.

Meditating in Live Stream: An Autoethnographic and Interview Study to Investigate Motivations, Interactions and Challenges

Mindfulness practice has many mental and physical well-being benefits. With the increased popularity of live stream technologies and the impact of COVID-19, many people have turned to live stream tools to participate in online meditation sessions. To better understand the practices, challenges, and opportunities in live-stream meditation, we conducted a three-month autoethnographic study, during which two researchers participated in live-stream meditation sessions as the audience. Then we conducted a follow-up semi-structured interview study with 10 experienced live meditation teachers who use different live-stream tools. We found that live meditation, although having a weaker social presence than in-person meditation, facilitates attendees in establishing a practice routine and connecting with other meditators. Teachers use live streams to deliver the meditation practice to the world which also enhances their practice and brand building. We identified the challenges of using live-stream tools for meditation from the perspectives of both audiences and teachers, and provided design recommendations to better utilize live meditation as a resource for mental wellbeing.

‘It's mostly an accompaniment to something’

‘It's mostly an accompaniment to something’

‘Tele_Trust’ and ‘Touch My Touch’: co-creating social touch and trust experience through telematic platforms

ABSTRACT ‘Can telematic platforms be created to share embodied experience of social touch?’. This paper addresses the design of shared presence via telematic platforms, on the basis of shared embodied experience of touching and feeling touched, in empathic interplay. Two Artistic Social Labs platforms that re-orchestrate and merge visual, haptic and facial input, supported by telematic platforms, are discussed and analysed. The hybrid platform ‘Tele_Trust’ (2009) makes use of smart textiles with touch sensors, and mobile phone app and urban screen technologies. The online platform ‘Touch My Touch’ (2021) is based on streaming, face-recognition and portrait merging technologies. The CITYO model ‘Can I Touch You Online?’ (Lancel 2023) is used to analyse and evaluate the effects of design choices on the experience of social touch. The results show that a sense of reciprocal influence (characteristic to social touch) can be established via telematic platforms, through sensory and social design for co-creation. Additional results provide insights for the future design of shared presence, through experience of social touch in reciprocal empathic interplay, via telematic platforms.

Website of the Health Office of PPKB (Population Control, and Family Planning) of Mojokerto City

The use of information technology has become mandatory in the current digital era, followed by the increasingly widespread development of the internet, which has further strengthened the importance of a web- based system. In designing a website-based system, the Department of Health, Population Control and Family Planning creates a Health Information System, PPKB Program, or Population Statistics. With this system, it explains the importance of the PPKB Health Strategy, in information related to population in an interesting and easy to understand way, detailed information regarding available health services, the PPKB (Population Control and Family Planning) program, population policies, and the latest initiatives. Tools or Interactives that help users in planning a family or understanding population statistics. Responsive design that ensures the website can be accessed well on various devices, including mobile phones and tablets, and ensures accessibility for users with special needs such as health services, information, or adequate accessibility features such as clear actions for visitors to engage further, or such as register for the PPKB program, look for further health information or can join relevant events or campaigns. Integrate social media, video streaming or other latest technology to improve user order and distribute information more effectively. This website must be a valuable and reliable source of information for the residents of the city of Mojokerto, providing needed support in health, PPKB programs, and understanding population issues. The success of this website depends on its ease of use, relevance of content, and its ability to encourage positive actions from visitors.

Parental views of live streaming technology on a tertiary neonatal unit in the UK: A quantitative survey

IntroductionThe use of live stream technology has been introduced on neonatal units to improve parent access to their babies. This study aimed to explore parents’ experiences of using webcam technology on a neonatal unit. MethodThis was a prospective, survey-based study. Parents were eligible to participate if they had been offered the use of a webcam while their baby was admitted to the neonatal unit. Results124 parents completed questionnaires. The majority of parents opted to use the webcams (97%). Most parents reported a decrease or no change in anxiety levels (76%). Thematic analysis highlighted perceived advantages to using webcams included reassurance, virtually present when unable to be physically present, bonding, expressing and including extended family. ConclusionWebcams enabled babies to be integrated into family, provided an opportunity to enhance parent-infant bonding and improved parent wellbeing. Education and support would help reduce some of the challenges parents experienced.

Time-Aware Dual LSTM Neural Network with Similarity Graph Learning for Remote Sensing Service Recommendation.

Technological progress has led to significant advancements in Earth observation and satellite systems. However, some services associated with remote sensing face issues related to timeliness and relevance, which affect the application of remote sensing resources in various fields and disciplines. The challenge now is to help end-users make precise decisions and recommendations for relevant resources that meet the demands of their specific domains from the vast array of remote sensing resources available. In this study, we propose a remote sensing resource service recommendation model that incorporates a time-aware dual LSTM neural network with similarity graph learning. We further use the stream push technology to enhance the model. We first construct interaction history behavior sequences based on users' resource search history. Then, we establish a category similarity relationship graph structure based on the cosine similarity matrix between remote sensing resource categories. Next, we use LSTM to represent historical sequences and Graph Convolutional Networks (GCN) to represent graph structures. We construct similarity relationship sequences by combining historical sequences to explore exact similarity relationships using LSTM. We embed user IDs to model users' unique characteristics. By implementing three modeling approaches, we can achieve precise recommendations for remote sensing services. Finally, we conduct experiments to evaluate our methods using three datasets, and the experimental results show that our method outperforms the state-of-the-art algorithms.

Pelatihan Penerapan Media Digital Streaming Video Menggunakan Aplikasi Vmix pada UPTD BTIKP Disdik Sumsel

Training on the application of digital media streaming video using the vMix application at the UPTD BTIKP of the South Sumatra Disdik is a strategic step to meet the demands of the times in educational development. Involving employees, the training aims to improve their understanding and skills in implementing video streaming technology. Using a structured method, including an introduction, demonstration of the vMix application, individual practical sessions, discussions, and presentation of results, the training successfully provided participants with in-depth understanding and technical skills. The results include improved employee competencies in vMix implementation, creating the basis for a more innovative and technologically-adaptive education transformation.

Cross-Layer Video Synthesizing and Antenna Allocation Scheme for Multi-View Video Provisioning Under Massive MIMO Networks

Due to the growing need for bandwidth starving Multi-View Videos (MVV) in virtual reality, TV, and education, effectively allocating the resources of next-generation wireless technologies for MVV streams becomes increasingly crucial. To achieve high utility for MVV users, this paper proposes a cross-layer resource allocation mechanism to leverage video synthesizing schemes (such as Depth-Image-Based Rendering (DIBR) for efficient MVV streaming with massive MIMO). First, we formulate a new problem, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">antenna allocation with video synthesis</i> (AAVS), and prove its NP-hardness. Then, we design an approximation algorithm named <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Utility-based Multi-View Synthesis</i> (UMVS) with the analytical performance provided, and dynamic scenarios are addressed by augmenting UMVS with deep reinforcement learning. Data-driven simulation results show that UMVSoutperforms existing antenna allocation schemes by at least 10%, and the DRL extension provides an additional 6% improvement in system utility under congested scenarios.

Innovative Design and Performance Analysis of Gravitational Water Vortex Turbines

Abstract: Due to limited availability and risk of extraction of non-renewable natural resources for energy extraction and production of electricity in future we will be relying on various renewable energy resources. Therefore we intent to aid THE GRAVITATIONAL VORTEX TURBINE SYSTEM in the field of hydro electricity generation. The turbine is capable of generating clean energy from streams without interfering with the environment. It will be capable if converting energy of moving fluid to kinetic energy which can be further utilized to convert it into electrical energy using a low hydraulic head. Electrical power is essential in commercial and social investments like lighting, heating, communications, Computers, industrial equipment, transport etc. Therefore hydropower energy is one of the most suitable and efficient source of renewable energy which depends on more than century of experience for this issue. The power capacity and facility are two criteria required for the classification of hydropower plant. The first one consists of five technologies: dammed reservoir, run of river, pumped storage, in stream technology and new technology gravitational vortex. The other one is classified according to power scale is Large, Small, Micro and Pico Hydropower. This project is focusing on micro hydropower especially gravitational vortex power which increases the sustainability and health of the water as a whole. It presents an overview from both flow and power points of view by discussing the free surface vortex (FSV) and the suitable turbine systems which are used in micro hydropower. The use of subjects like Fluid mechanics, Theory of machines and Engineering Mechanics will provide a backbone of this project. From this Project we will illustrate the micro hydro power generation technique.

인플루언서 및 콘텐츠 특성이 소비자 구매의도에 미치는 영향

Purpose - Due to the spread of COVID-19, non-face-to-face transactions are widely growing. In particular, the development of streaming and network technology has rapidly grown the one-person broadcasting market, an influencer market using YouTube and Instagram. However, prior research on the influencer in Mogolian market is very scarce. Therefore, this study aims to identify the factors influencing consumer purchasing behavior in Mongolian market.&#x0D; Design/methodology/approach - We tested a research model of our study through the analysis using survey data of experienced users in Mongolian influencer market. In this study, reliability test and factor analysis, multiple regression were conducted using SPSS.&#x0D; Findings - We found that the characteristics of an influencer and contents in Mogolian market are positively related with brand reliability and contents authenticity, respectively. In addition, the brand reliability and contents authenticity are positively associated with the customer’s purchase intention.&#x0D; Research implications or Originality - Since it is the first study of the influencer market in Mongolia, it is expected that it will serve as a guide study for the follow-up studies in the future and serve as a reference for the strategic direction of related companies.