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Meeting Ourselves or Other Sides of Us? - Meta-Analysis of the Metaverse 遇见我们自己还是另一面?-元宇宙的元分析
IF 3.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-06-02 DOI: 10.3390/informatics10020047
M. Cruz, Abílio Oliveira, Alessandro Pinheiro
We were promised that the Metaverse would revolutionize our lives, social interactions, work, and business. However, how and when will this happen? We have seen the growth and development of technology, but there is no agreement or prediction about a specific time, and we can only follow the how question. To investigate more leads about this concept, we considered a main research question: How is the Metaverse actually being perceived? This question is connected with three objectives: to verify how the Metaverse is being represented and characterized, identify the main dimensions that facilitate or influence the acceptance of the Metaverse, and identify the leading technologies that suit the Metaverse concept. This study consisted of a documental analysis—or meta-analysis—of fifty of the most relevant scientific papers (taking into account some inclusion criteria) published in the last three years, using the Leximancer software to create concept maps to illustrate the main concepts and themes extracted from the articles to understand their associations or relations with the Metaverse concept. This study provided us with essential findings about how this concept has been perceived and allowed us to answer our objectives, contributing to a scientific discussion on the topic, and provided some valid suggestions for future research, which is already in progress. It also provided new leads on approaching this concept in development.
我们被承诺,虚拟世界将彻底改变我们的生活、社会互动、工作和商业。然而,这将如何以及何时发生?我们已经看到了技术的成长和发展,但是对于一个具体的时间没有共识或预测,我们只能遵循如何的问题。为了调查更多关于这个概念的线索,我们考虑了一个主要的研究问题:虚拟世界实际上是如何被感知的?这个问题与三个目标有关:验证如何表示和表征虚拟现实,确定促进或影响虚拟现实接受度的主要维度,以及确定适合虚拟现实概念的领先技术。这项研究包括对过去三年发表的50篇最相关的科学论文(考虑到一些纳入标准)进行文献分析或荟萃分析,使用Leximancer软件创建概念图来说明从文章中提取的主要概念和主题,以了解它们与元宇宙概念的关联或关系。这项研究为我们提供了关于这个概念是如何被感知的基本发现,并允许我们回答我们的目标,有助于对这个主题的科学讨论,并为已经在进行中的未来研究提供了一些有效的建议。它还为在发展中接近这一概念提供了新的线索。
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引用次数: 0
AR/VR Teaching-Learning Experiences in Higher Education Institutions (HEI): A Systematic Literature Review AR/VR在高等学校的教学经验:系统的文献综述
IF 3.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-16 DOI: 10.3390/informatics10020045
Belén Bermejo, C. Juiz, David Cortés Gómez, J. Oskam, T. Moilanen, Jouko Loijas, Praneschen. Govender, J. Hussey, Alexander Lennart Schmidt, R. Burbach, Daniel King, C. O'Connor, Davin Dunlea
During the last few years, learning techniques have changed, both in basic education and in higher education. This change has been accompanied by new technologies such as Augmented Reality (AR) and Virtual Reality (AR). The combination of these technologies in education has allowed a greater immersion, positively affecting the learning and teaching processes. In addition, since the COVID-19 pandemic, this trend has been growing due to the diversity of the different fields of application of these technologies, such as heterogeneity in their combination and their different experiences. It is necessary to review the state of the art to determine the effectiveness of the application of these technologies in the field of university higher education. In the present paper, this aim is achieved by performing a systematic literature review from 2012 to 2022. A total of 129 papers were analyzed. Studies in our review concluded that the application of AR/VR improves learning immersion, especially in hospitality, medicine, and science studies. However, there are also negative effects of using these technologies, such as visual exhaustion and mental fatigue.
在过去的几年里,基础教育和高等教育的学习技术都发生了变化。这一变化伴随着增强现实(AR)和虚拟现实(VR)等新技术。这些技术在教育中的结合使人们能够更好地融入其中,对学习和教学过程产生了积极影响。此外,自新冠肺炎大流行以来,由于这些技术的不同应用领域的多样性,例如组合的异质性和不同的体验,这一趋势一直在增长。有必要对现有技术进行审查,以确定这些技术在大学高等教育领域的应用效果。在本文中,这一目标是通过对2012年至2022年的文献进行系统综述来实现的。共分析了129篇论文。我们综述中的研究得出结论,AR/VR的应用提高了学习沉浸感,尤其是在酒店、医学和科学研究中。然而,使用这些技术也会产生负面影响,如视觉疲劳和精神疲劳。
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引用次数: 3
Proposal of the Indonesian Framework for Telecommunications Infrastructure Based on Network and Socioeconomic Indicators 基于网络和社会经济指标的印度尼西亚电信基础设施框架提案
IF 3.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-12 DOI: 10.3390/informatics10020044
A. C. Situmorang, M. Suryanegara, D. Gunawan, F. Juwono
In Indonesia, there is still a disparity in telecommunications access, with most rural areas experiencing “no signal” or “blank spots.” In contrast, urban areas enjoy modern and societally-beneficial technologies. A comprehensive framework is needed to address the disparity in telecommunications access between “rich” and “poor” groups in urban and rural/remote areas, respectively. This paper proposes a framework, built by the mathematical model, that can be used as a reference for the Indonesian government in constructing the nation’s telecommunications infrastructure. The framework categorizes Indonesian administrative regions into four grids: Grid #1: “fostered” districts; Grid #2: “developing” districts; Grid #3: “developed” districts; and Grid #4: “independent-advanced” districts. To determine where each district falls in these grids, we propose a novel statistical approach using 17 indicators involving a telecommunications network and socioeconomic factors. The proposed framework results in a grid visualization of 7232 districts in Indonesia. Finally, as this paper is replete with academic research approaches and mathematical model perspectives, it is expected that the results may be valuable input to the development of the country’s telecommunications policy.
在印度尼西亚,电信接入仍然存在差距,大多数农村地区经历“无信号”或“空白点”。相比之下,城市地区享有现代和对社会有益的技术。需要一个全面的框架来处理城市和农村/偏远地区“富裕”和“贫穷”群体之间在电信接入方面的差距。本文提出了一个数学模型构建的框架,可为印尼政府建设国家电信基础设施提供参考。该框架将印度尼西亚的行政区域划分为四个网格:网格1:“培育”区;方格2:“发展中”地区;网格#3:“发达”地区;栅格4:“独立高级”地区。为了确定每个地区在这些网格中的位置,我们提出了一种新的统计方法,使用涉及电信网络和社会经济因素的17个指标。提出的框架结果是印度尼西亚7232个地区的网格可视化。最后,由于本文充满了学术研究方法和数学模型视角,预计其结果可能对国家电信政策的制定有价值的投入。
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引用次数: 0
Risk Factors Influencing Fatal Powered Two-Wheeler At-Fault and Not-at-Fault Crashes: An Application of Spatio-Temporal Hotspot and Association Rule Mining Techniques 影响两轮车有故障和无故障致命事故的危险因素:时空热点和关联规则挖掘技术的应用
IF 3.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-12 DOI: 10.3390/informatics10020043
R. Tamakloe
Studies have explored the factors influencing the safety of PTWs; however, very little has been carried out to comprehensively investigate the factors influencing fatal PTW crashes while considering the fault status of the rider in crash hotspot areas. This study employs spatio-temporal hotspot analysis and association rule mining techniques to discover hidden associations between crash risk factors that lead to fatal PTW crashes considering the fault status of the rider at statistically significant PTW crash hotspots in South Korea from 2012 to 2017. The results indicate the presence of consecutively fatal PTW crash hotspots concentrated within Korea’s densely populated capital, Seoul, and new hotspots near its periphery. According to the results, violations such as over-speeding and red-light running were critical contributory factors influencing PTW crashes at hotspots during summer and at intersections. Interestingly, while reckless riding was the main traffic violation leading to PTW rider at-fault crashes at hotspots, violations such as improper safety distance and red-light running were strongly associated with PTW rider not-at-fault crashes at hotspots. In addition, while PTW rider at-fault crashes are likely to occur during summer, PTW rider not-at-fault crashes mostly occur during spring. The findings could be used for developing targeted policies for improving PTW safety at hotspots.
研究探讨了影响PTW安全性的因素;然而,很少有人在考虑碰撞热点地区骑手的故障状态的情况下,全面调查影响PTW致命碰撞的因素。本研究采用时空热点分析和关联规则挖掘技术,考虑到2012年至2017年韩国具有统计意义的PTW碰撞热点处骑手的故障状态,发现导致致命PTW碰撞的碰撞风险因素之间的隐藏关联。结果表明,连续致命的PTW事故热点集中在韩国人口稠密的首都首尔,以及周边地区的新热点。根据研究结果,超速和闯红灯等违法行为是影响夏季热点地区和十字路口PTW撞车事故的关键因素。有趣的是,尽管鲁莽驾驶是导致PTW驾驶员在热点地区发生故障碰撞的主要交通违规行为,但安全距离不当和闯红灯等违规行为与PTW驾驶员未在热点地区出现故障碰撞密切相关。此外,虽然PTW骑车人发生故障的撞车事故可能发生在夏季,但PTW骑车人未发生故障的车祸大多发生在春季。研究结果可用于制定有针对性的政策,以改善热点地区的PTW安全。
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引用次数: 0
Exploring the Boundaries of Success: A Literature Review and Research Agenda on Resource, Complementary, and Ecological Boundaries in Digital Platform Business Model Innovation 探索成功的边界:数字平台商业模式创新中的资源边界、互补边界和生态边界的文献综述与研究议程
IF 3.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-11 DOI: 10.3390/informatics10020041
M. Daradkeh
Digital platform business model innovation is a rapidly evolving field, yet the literature on resource, complementary, and ecological boundaries remains limited, leaving a significant gap in our understanding of the factors that shape the success of these platforms. This paper explores the mechanisms by which digital platforms enable business model innovation, a topic of significant theoretical and practical importance that has yet to be fully examined. Through a review of the existing literature and an examination of the connotations of digital platforms, the design of platform boundaries, and the deployment of boundary resources, the study finds that (1) the uncertainty of complementors and complementary products drives business model innovation in digital platforms; (2) the design of resource, complementary, and ecological system boundaries is crucial to digital platform business models and manages complementor and complementary product uncertainty while promoting value co-creation; and (3) boundary resources establish, manage, and sustain cross-border relationships that impact value creation and capture. Based on these findings, four research propositions are proposed to guide future research on digital platform business model innovation and provide insights for effectively innovating business models and influencing value creation and capture.
数字平台商业模式创新是一个快速发展的领域,但关于资源、互补和生态边界的文献仍然有限,这使得我们对塑造这些平台成功因素的理解存在重大差距。本文探讨了数字平台推动商业模式创新的机制,这是一个具有重要理论和实践意义的主题,但尚未得到充分研究。通过对现有文献的梳理和对数字平台内涵、平台边界设计、边界资源配置的考察,研究发现:(1)互补产品和互补产品的不确定性驱动着数字平台的商业模式创新;(2)资源、互补和生态系统边界的设计对数字平台商业模式至关重要,在促进价值共创的同时管理互补和互补产品的不确定性;(3)边界资源建立、管理和维持影响价值创造和获取的跨界关系。基于这些发现,本文提出了四个研究命题,以指导未来数字平台商业模式创新的研究,并为有效创新商业模式、影响价值创造和捕获提供见解。
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引用次数: 1
Genealogical Data Mining from Historical Archives: The Case of the Jewish Community in Pisa 从历史档案中挖掘家谱数据:比萨犹太社区的案例
IF 3.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-11 DOI: 10.3390/informatics10020042
A. L. Duca, Andrea Marchetti, Manuela Moretti, Francesca Diana, Mafalda Toniazzi, Andrea D'Errico
The Jewish community archive in Pisa owns a vast collection of documents and manuscripts that date back centuries. These documents contain valuable genealogical information, including birth, marriage, and death records. This paper aims to describe the preliminary results of the Archivio Storico della Comunita Ebraica di Pisa (ASCEPI) project, with a focus on the extraction of data from the Nati, Morti e Ballottati (NMB) Registry document in the archive. The NMB Registry contains about 1900 records of births, deaths, and balloted individuals within the Jewish community in Pisa. The study uses a semiautomatic pipeline of digitization, transcription, and Natural Language Processing (NLP) techniques to extract personal data such as names, surnames, birth and death dates, and parental names from each record. The extracted data are then used to build a knowledge base and a genealogical tree for a representative family, Supino. This study demonstrates the potential of using NLP and rule-based techniques to extract valuable information from historical documents and to construct genealogical trees.
比萨的犹太社区档案馆拥有大量可以追溯到几个世纪前的文件和手稿。这些文件包含有价值的家谱信息,包括出生、婚姻和死亡记录。本文旨在描述比萨社区档案(ASCEPI)项目的初步结果,重点是从档案中的Nati, Morti e Ballottati (NMB)注册文件中提取数据。NMB登记处包含大约1900份比萨犹太社区的出生、死亡和投票个人的记录。该研究使用数字化、转录和自然语言处理(NLP)技术的半自动管道从每个记录中提取个人数据,如姓名、姓氏、出生和死亡日期以及父母姓名。然后,提取的数据被用来建立一个知识库和一个代表性家庭的家谱树,Supino。这项研究展示了使用自然语言处理和基于规则的技术从历史文献中提取有价值信息和构建家谱树的潜力。
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引用次数: 0
LARF: Two-Level Attention-Based Random Forests with a Mixture of Contamination Models LARF:混合污染模型的两级注意力随机森林
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-04-28 DOI: 10.3390/informatics10020040
Andrei Konstantinov, Lev Utkin, Vladimir Muliukha
This paper provides new models of the attention-based random forests called LARF (leaf attention-based random forest). The first idea behind the models is to introduce a two-level attention, where one of the levels is the “leaf” attention, and the attention mechanism is applied to every leaf of trees. The second level is the tree attention depending on the “leaf” attention. The second idea is to replace the softmax operation in the attention with the weighted sum of the softmax operations with different parameters. It is implemented by applying a mixture of Huber’s contamination models and can be regarded as an analog of the multi-head attention, with “heads” defined by selecting a value of the softmax parameter. Attention parameters are simply trained by solving the quadratic optimization problem. To simplify the tuning process of the models, it is proposed to convert the tuning contamination parameters into trainable parameters and to compute them by solving the quadratic optimization problem. Many numerical experiments with real datasets are performed for studying LARFs. The code of the proposed algorithms is available.
本文提出了一种新的基于注意力的随机森林模型,称为LARF (leaf attention-based random forest)。模型背后的第一个想法是引入两层注意,其中一层是“叶子”注意,注意机制应用于树的每一片叶子。第二级是树的注意,依赖于“叶子”的注意。第二种思路是将注意力中的softmax操作替换为不同参数的softmax操作的加权和。它是通过应用Huber污染模型的混合来实现的,可以看作是多头注意力的模拟,通过选择softmax参数的一个值来定义“头”。通过求解二次优化问题,简单地训练注意力参数。为了简化模型的整定过程,提出将整定污染参数转换为可训练参数,并通过求解二次优化问题对其进行计算。在实际数据集上进行了许多数值实验来研究larf。所提出的算法的代码是可用的。
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引用次数: 0
The Impact of YouTube on Loneliness and Mental Health YouTube对孤独和心理健康的影响
IF 3.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-04-20 DOI: 10.3390/informatics10020039
Luke Balcombe, D. Leo
There are positives and negatives of using YouTube in terms of loneliness and mental health. YouTube’s streaming content is an amazing resource, however, there may be bias or errors in its recommendation algorithms. Parasocial relationships can also complicate the impact of YouTube use. Intervention may be necessary when problematic and risky content is associated with unhealthy behaviors and negative impacts on mental health. Children and adolescents are particularly vulnerable. Although YouTube might assist in connecting with peers, there are privacy, safety, and quality issues to consider. This paper is an integrative review of the positive and negative impacts of YouTube with the aim to inform the design and development of a technology-based intervention to improve mental health. The impact of YouTube use on loneliness and mental health was explored by synthesizing a purposive selection (n = 32) of the empirical and theoretical literature. Next, we explored human–computer interaction issues and proposed a concept whereby an independent-of-YouTube algorithmic recommendation system steers users toward verified positive mental health content or promotions.
在孤独感和心理健康方面,使用YouTube既有积极的一面,也有消极的一面。YouTube的流媒体内容是一个惊人的资源,然而,它的推荐算法可能存在偏见或错误。准社会关系也会使使用YouTube的影响复杂化。当问题和风险内容与不健康行为和对心理健康的负面影响有关时,干预可能是必要的。儿童和青少年尤其容易受到伤害。尽管YouTube可能有助于与同伴联系,但需要考虑隐私、安全和质量问题。这篇论文是对YouTube的积极和消极影响的综合回顾,旨在为设计和开发一种基于技术的干预措施提供信息,以改善心理健康。通过综合实证和理论文献的有目的选择(n = 32),探索YouTube使用对孤独和心理健康的影响。接下来,我们探讨了人机交互问题,并提出了一个概念,即独立于youtube的算法推荐系统将用户引导到经过验证的积极心理健康内容或促销活动。
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引用次数: 1
Understanding the Spread of Fake News: An Approach from the Perspective of Young People 理解假新闻的传播:从年轻人的角度看问题
IF 3.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-04-11 DOI: 10.3390/informatics10020038
Alejandro Valencia-Arias, D. Arango-Botero, Sebastián Cardona-Acevedo, S. Delgado, Ada Lucia Gallegos Ruiz
The COVID-19 pandemic and the boom of fake news cluttering the internet have revealed the power of social media today. However, young people are not yet aware of their role in the digital age, even though they are the main users of social media. As a result, the belief that older adults are responsible for information is being re-evaluated. In light of this, the present study was aimed at identifying the factors associated with the spread of fake news among young people in Medellín (Colombia). A total of 404 self-administered questionnaires were processed in a sample of people between the ages of 18 and 34 and analyzed using statistical techniques, such as exploratory factor analysis and structural equation modeling. The results suggest that the instantaneous sharing of fake news is linked to people’s desire to raise awareness among their inner circle, particularly when the messages shared are consistent with their perceptions and beliefs, or to the lack of time to properly verify their accuracy. Finally, passive corrective actions were found to have a less significant impact in the Colombian context than in the context of the original model, which may be explained by cultural factors.
新冠肺炎大流行和充斥互联网的假新闻热潮揭示了当今社交媒体的力量。然而,年轻人还没有意识到自己在数字时代的角色,尽管他们是社交媒体的主要用户。因此,人们正在重新评估老年人对信息负责的信念。有鉴于此,本研究旨在确定与Medellín(哥伦比亚)年轻人中假新闻传播有关的因素。在18岁至34岁的人群样本中,共处理了404份自填问卷,并使用探索性因素分析和结构方程建模等统计技术进行了分析。研究结果表明,即时分享假新闻与人们提高核心圈子意识的愿望有关,尤其是当分享的信息与他们的看法和信仰一致时,或者与缺乏时间来正确验证其准确性有关。最后,被动纠正行动在哥伦比亚的影响不如在原始模式的影响大,这可以用文化因素来解释。
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引用次数: 3
Towards Independent Students' Activities, Online Environment and Learning Performance: An Investigation through Synthetic Data and Artificial Neural Networks 独立学生的活动、网络环境与学习成绩——基于合成数据和人工神经网络的调查
IF 3.1 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-04-10 DOI: 10.3390/informatics10020037
M. Ivanova, Tsvetelina Petrova
During the pandemic, universities were forced to convert their educational process online. Students had to adapt to new educational conditions and the proposed online environment. Now, we are back to the traditional blended learning environment and wish to understand the students’ attitudes and perceptions of online learning, knowing that they are able to compare blended and online modes. The aim of this paper is to present the performed predictive analysis regarding the students’ online learning performance taking into account their opinion. The predictive models are created through a supervised machine learning algorithm based on Artificial Neural Networks and are characterized with high accuracy. The analysis is based on generated synthetic datasets, ensuring a high level of students’ privacy preservation.
在疫情期间,大学被迫将其教育过程转换为在线。学生们必须适应新的教育条件和拟议的在线环境。现在,我们回到传统的混合学习环境,希望了解学生对在线学习的态度和看法,知道他们能够比较混合模式和在线模式。本文的目的是在考虑学生意见的情况下,对学生的在线学习表现进行预测分析。预测模型是通过基于人工神经网络的监督机器学习算法创建的,具有高精度的特点。该分析基于生成的合成数据集,确保学生的隐私得到高度保护。
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引用次数: 0
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