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Point and Control it!: Using Computer Vision for Service Discovery to Control Smart Objects 瞄准并控制它!:使用计算机视觉进行服务发现以控制智能对象
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479629
Paulo Filipe Dantas, J. G. R. Maia, Windson Viana
The widespread of smart objects in our daily lives request the creation and analysis of new service discovery mechanisms and interaction techniques. In this work, we designed and evaluated a pointing-based interaction mechanism based on a Convolutional Neural Network classification method. We called it ViSCo (View, Scan, and Control it), which extends the openHAB service discovery mechanism of smart objets. ViSCo aggregates the users' field of view, captured by the camera of their smartphones, to reduce the service discovery results. 17 users evaluated the final solution remotely, in an environment with virtual devices. Participants used the ViSCo approach to find and control virtual devices by pointing to real objects in their homes (e.g., their TVs). System Usability Scale (SUS) survey about ViSCo results showed a good level of acceptance, with an average score of 83.97.
智能对象在我们日常生活中的广泛应用要求创建和分析新的服务发现机制和交互技术。在这项工作中,我们设计并评估了一个基于卷积神经网络分类方法的基于点的交互机制。我们称之为ViSCo (View, Scan, and Control it),它扩展了智能对象的openHAB服务发现机制。ViSCo将智能手机摄像头捕捉到的用户视野进行汇总,以减少服务发现结果。17名用户在虚拟设备环境中远程评估了最终解决方案。参与者使用ViSCo方法,通过指向家中的真实物体(例如,电视)来查找和控制虚拟设备。系统可用性量表(System Usability Scale, SUS)对ViSCo结果的调查显示了良好的接受程度,平均得分为83.97。
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引用次数: 1
Supervised Learning for Misinformation Detection in WhatsApp 监督学习在WhatsApp的错误信息检测
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479641
Julio C. S. Reis, Fabrício Benevenuto
WhatsApp created anew channel for smartphone users to consume and share news. The easiness to create groups of people that partake similar interests and share content has made WhatsApp prone to abuse by misinformation campaigns. Although fact-checking is very effective for detecting misinformation, it cannot keep up with the sheer volume of information that is now generated online. In this context, we investigate the potential of automatic approaches based on supervised machine learning as a support tool to help fact-checkers identify misinformation shared through images on WhatsApp. Our results show that the predictive performance of the investigated approaches has a useful degree of discriminative power to detect misinformation. Finally, we discussed how WhatsApp misinformation detection approaches can be used in practice, highlighting challenges and opportunities.
WhatsApp为智能手机用户提供了消费和分享新闻的新渠道。WhatsApp很容易创建有相似兴趣和分享内容的群组,这使得它很容易被虚假信息活动滥用。尽管事实核查在发现错误信息方面非常有效,但它无法跟上现在在线产生的大量信息。在这种情况下,我们研究了基于监督机器学习的自动方法的潜力,作为一种支持工具,帮助事实核查员识别通过WhatsApp上的图像共享的错误信息。我们的结果表明,所研究的方法的预测性能具有一定程度的鉴别能力来检测错误信息。最后,我们讨论了如何在实践中使用WhatsApp错误信息检测方法,突出了挑战和机遇。
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引用次数: 7
Mobile Application Recommendation based on Demographic and Device Information 基于人口统计和设备信息的移动应用推荐
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479623
Raissa P. P. M. Souza, Gabriel T. P. Coimbra, Leonardo J. A. S. Figueiredo, Fabrício A. Silva, T. R. Silva
The number of people with access to mobile devices, as well as applications to these devices (i.e., apps), has been increasing significantly. Thus, users have to choose among a high number of apps, those that better serve them. However, this is not a trivial task, as we have seen an increasing number of apps proposing to do the same functions. In the same way, companies are facing difficulties to attract users through a usual marketing campaign. A possible solution to this problem is the adoption of recommendation systems, where it is possible to compare the similarities of user profiles. Meanwhile, these systems often consider only users' preferences to create a profile, or request sensitive data (e.g., call and message logs). However, the installation of an app may involve other factors like the capacity of the mobile device (e.g., memory and processing power) and the demographic information of the user's living area. This work investigates the impact of using demographic and handset information on app recommendation. To do that, we use this information to enrich a user profile that has only easy-to-obtain data (i.e., installed apps, approximate location, and handset model). Besides, our proposal was evaluated on three different recommending approaches: Latent Dirichlet Allocation (LDA), Markov Transition Matrix (MTM), and Collaborative Filtering. The general results reveal that the LDA approach achieved the highest efficacy when added information about the user's region mean wage, in terms of precision (approximately 64%) and recall (approximately 28%).
能够访问移动设备以及这些设备上的应用程序(即应用程序)的人数一直在显著增加。因此,用户必须在大量的应用程序中做出选择,选择那些更适合他们的应用程序。然而,这并不是一项微不足道的任务,因为我们已经看到越来越多的应用程序提议做同样的功能。同样,企业也很难通过常规的营销活动来吸引用户。这个问题的一个可能的解决方案是采用推荐系统,其中可以比较用户配置文件的相似性。同时,这些系统通常只考虑用户的偏好来创建配置文件,或请求敏感数据(例如,呼叫和消息日志)。然而,应用程序的安装可能涉及其他因素,如移动设备的容量(例如,内存和处理能力)和用户生活区域的人口统计信息。这项工作调查了使用人口统计和手机信息对应用程序推荐的影响。为了做到这一点,我们使用这些信息来丰富只有易于获取的数据(即安装的应用程序,大致位置和手机型号)的用户档案。此外,我们的建议被评估了三种不同的推荐方法:潜狄利克雷分配(LDA),马尔可夫转移矩阵(MTM)和协同过滤。总体结果表明,当添加用户所在地区的平均工资信息时,LDA方法在准确率(约64%)和召回率(约28%)方面达到了最高的效果。
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引用次数: 1
iOTA: An Approach to Secure Over-The-Air Updates on the Internet of Things Scenario iOTA:一种在物联网场景下保护无线更新的方法
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479630
Cleber S. Peter, Thayná Oliveira, Eduardo M. Monks, Fernanda P. Motta, J. Barbosa, A. Yamin
The IoT's widely distributed nature has promoted demands for Over-The-Air (OTA) upgrading of embedded systems. This paper presents the conception of a new approach, called iOTA, which meets the security requirements of the SUIT specification of the Internet Engineering Task Force (IETF). The partial evaluation of the proposal points to the continuation of the research and showed that iOTA stands out in terms of security in relation to the other approaches proposed by the literature, offering protection against attacks to which a remote update of an embedded system is usually exposed.
物联网的广泛分布特性促进了对嵌入式系统OTA升级的需求。本文提出了一种称为iOTA的新方法的概念,该方法符合互联网工程任务组(IETF)的SUIT规范的安全要求。该提案的部分评估指出了研究的继续,并表明iOTA在与文献中提出的其他方法相关的安全性方面脱颖而出,提供针对嵌入式系统远程更新通常暴露的攻击的保护。
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引用次数: 3
A Systematic Process for Computing Bourdieusian Social Capital within Institutional Profiles on Twitter 在Twitter上的机构概况中计算布尔迪厄社会资本的系统过程
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479437
Guilherme Augusto da Silva Ferreira, Alan Keller Gomes
This work presents a systematic process for computing Bourdieusian Social Capital (BSC) within institutional Twitter profiles. Based on the observation of sociability practices (social interactions) with the support of Pierre Bourdieu's Theory, we capture data related to these practices, crystallized through performing actions such as Tweet, Comment, Retweet and Like. Next, social interactions are extracted from the captured data as sequences of actions and they are used to compute the effective mobilization capacity of each profile. Finally, the BSC volume is measured by using the effective mobilization capacity, the number of social interactions and the number of followers. The results obtained are aligned with the Bourdieu theory and the systematic process allows to compute the continuous sociability effort of each profile to maintain and expand its BSC. Moreover, the results show that polarities positive and neutral impacts in the composition of the BSC volume.
这项工作提出了一个系统的过程,计算布尔迪厄社会资本(BSC)在机构推特档案。基于对社交实践(社会互动)的观察,在皮埃尔·布迪厄理论的支持下,我们捕捉到与这些实践相关的数据,通过执行诸如Tweet, Comment, Retweet和Like等行为来具体化。接下来,从捕获的数据中提取社会互动作为动作序列,并使用它们来计算每个配置文件的有效动员能力。最后,通过有效动员能力、社会互动次数和追随者数量来衡量平衡记分卡量。得到的结果与布迪厄理论一致,系统的过程允许计算每个剖面的持续社交努力,以维持和扩展其平衡记分卡。此外,研究结果表明,极性正极性和中性极性对BSC体积的组成有影响。
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引用次数: 1
IoT Helmet: an intelligent helmet for locating accidented bikers 物联网头盔:用于定位事故骑行者的智能头盔
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479460
K. D. Silva, Márcio Sabino, Eliandro da Silva, Luciano Gallegos
Every year, approximately 1,25 million people die in automobilistic accidents worldwide, where 23% are motorcyclists. Amongst the countries that have large motorcycle market, Brazil stands out between the largest ones comprising 22 million motorcycles and 30 million motorcyclists, where these machines are often used in remote or limited access locations such as on fields, dirt roads or isolated streets. In an motorcycle accident, it is common that the motorcyclist loose his consciousness and thus be unable to request help within the so-called 60 minutes "Golden Hour" limit. Considering the evolution and cheapeness of Internet of Things (IoT) technologies, applications aimed at saving lives become more and more common, making it easier to connect equipments in a data communication network. In this article, we describe a intelligent helmet equipped with embedded IoT technologies for geolocating and communicating with computer devices such as personal computers and mobile phone about accidented motorcyclists within 60 minutes in real-time. Simulations and tests shown promising results in real experiments where technologies such as sensors, microprocessor and the communication devices embedded in the IoT helmet's enable data colection and processing about the motorcyclist's situation, as well as wireless data transmisson and notification about his current status.
每年,全世界约有125万人死于汽车事故,其中23%是摩托车手。在拥有大型摩托车市场的国家中,巴西在拥有2200万辆摩托车和3000万摩托车手的最大市场中脱颖而出,这些机器通常用于偏远或交通不便的地点,如田地、土路或孤立的街道。在摩托车事故中,骑摩托车的人失去知觉,因此无法在所谓的60分钟“黄金时间”限制内请求帮助是很常见的。考虑到物联网(IoT)技术的发展和廉价,以拯救生命为目的的应用越来越普遍,使数据通信网络中的设备连接变得更加容易。在本文中,我们描述了一种配备嵌入式物联网技术的智能头盔,用于在60分钟内实时定位并与个人电脑和手机等计算机设备进行通信。模拟和测试在实际实验中显示出有希望的结果,其中传感器,微处理器和嵌入物联网头盔的通信设备等技术可以收集和处理摩托车手的情况,以及无线数据传输和通知他的当前状态。
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引用次数: 1
MAAT: Multisensorial Audiobooks Authoring Tool MAAT:多感官有声读物创作工具
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479446
H. Okuno, Flavio Carvalho, G. Guedes
Multisensory books and audiobooks provide users with greater immersion by stimulating multiple human senses simultaneously during the reading process. A multisensory story contains annotations of effects synchronizing each sensorial stimulus to traditional media, and the manual authoring of these annotations is a costly and time-consuming task. While there are authoring tools to synchronize multisensory effects with videos, there are no authoring tools available for multisensory audiobooks, to the best of our knowledge. This article proposes an authoring tool for multisensory audiobooks called MAAT. It presents the evaluation of MAAT's QoE aspects and compatibility assessments on the file generated by the MAAT tool and on the synchronization of multisensory effects.
多感官书籍和有声读物通过在阅读过程中同时刺激人的多种感官,为用户提供更大的沉浸感。多感官故事包含将每个感官刺激与传统媒体同步的效果注释,手动编写这些注释是一项昂贵且耗时的任务。虽然有创作工具可以同步视频的多感官效果,但据我们所知,还没有多感官有声读物的创作工具。本文提出了一种多感官有声读物的创作工具MAAT。介绍了MAAT的QoE方面的评估,以及MAAT工具生成的文件的兼容性评估和多感官效果的同步。
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引用次数: 0
Human Pose Estimation for Training Assistance: a Systematic Literature Review 用于训练辅助的人体姿势估计:系统文献综述
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479633
Gisela Miranda Difini, M. G. Martins, Jorge L. V. Barbosa
Human pose estimation is an important field of Computer Vision that aims to predict poses of individuals from videos and images. It has been used in many different areas including human-computer interaction, motion analysis, surveillance, action prediction, action correction, augmented reality, virtual reality, and healthcare. This review is focused on the most significant contributions in human pose estimation for training assistance. Executing movements correctly is crucial in all kinds of physical activities, both to increase performance and reduce risk of injury. Human pose estimation is poised to help athletes better analyse the quality of their movements. The systematic review study was conducted in five databases including articles from January 2011 to March 2021. The initial search resulted in 129 articles, of which 8 were selected after applying the filtering criteria. Moreover this study presents the challenges related to pose estimation, which pose estimation methods have been used in recent years, in which specific activities the selected articles have focused on, and a taxonomy of human pose estimation methods.
人体姿态估计是计算机视觉的一个重要领域,它旨在从视频和图像中预测个体的姿态。它已被用于许多不同的领域,包括人机交互、运动分析、监视、动作预测、动作纠正、增强现实、虚拟现实和医疗保健。这篇综述的重点是在训练辅助的人体姿态估计中最重要的贡献。在各种体育活动中,正确地执行动作是至关重要的,既可以提高表现,又可以减少受伤的风险。人体姿势估计可以帮助运动员更好地分析他们的运动质量。系统评价研究在5个数据库中进行,包括2011年1月至2021年3月的文章。最初的搜索结果是129篇文章,其中8篇在应用过滤标准后被选中。此外,本研究还提出了姿态估计相关的挑战,这些挑战是近年来使用的姿态估计方法,其中选定的文章重点关注的具体活动,以及人体姿态估计方法的分类。
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引用次数: 11
A Proposal for an Accessible Videoconferencing Interface for People with Hearing Impairments 为听觉障碍人士提供无障碍视讯会议介面之建议
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479614
Matheus Lima, Guido Lemos de Souza Filho, R. Kulesza
Sign languages (LS) are the natural form of communication between deaf people. However, although sign languages are recognized in many countries as a language, access to information and education is still a common problem for deaf people. In Brazil, despite the existence of several accessibility laws that determine support for deaf people, many are still dependent on Libras interpreters to communicate, which impairs their autonomy. As a result, there is a great difficulty for the deaf to exercise their citizenship and have access to quality information and education through sign languages, which generally implies linguistic delay and knowledge acquisition. In this sense, the present work addresses a proposal for an accessible interface of tele-education for the hearing impaired in order to facilitate access to information, making it possible to bring the figure of the remote interpreter to the classroom. This solution involves adapting the interface of the open source system, making it possible for the remote interpreter to be present to meet the needs of deaf students and make the classroom experience more accessible. In addition, a solution for displaying live subtitles was also implemented. The results obtained in this study proved to be promising, with 50% of users successfully completing more than 93.33% of the requested tasks. In addition, the group with the proposed solution was less dispersed when compared to the other group, concentrating most of its results above 80%, in a way that leads to believe that this type of adaptation can be welcomed by deaf users in the context of tele-education.
手语(LS)是聋哑人之间的自然交流形式。然而,尽管手语在许多国家被承认为一种语言,但聋哑人获得信息和教育仍然是一个普遍的问题。在巴西,尽管有几项无障碍法律规定了对聋哑人的支持,但许多人仍然依赖天秤座的口译员进行交流,这损害了他们的自主权。因此,聋人很难通过手语行使其公民身份,获得高质量的信息和教育,这通常意味着语言延迟和知识习得。从这个意义上说,本研究提出了一项建议,即为听障人士提供无障碍的远程教育界面,以方便他们获取信息,从而使远程口译员的形象进入课堂成为可能。这个解决方案包括调整开源系统的接口,使远程口译员能够在场,以满足聋哑学生的需求,并使课堂体验更容易获得。此外,还实现了显示实时字幕的解决方案。在这项研究中获得的结果被证明是有希望的,50%的用户成功完成了超过93.33%的请求任务。此外,与另一组相比,提出解决方案的小组分散程度较低,其大部分结果集中在80%以上,这使得人们相信这种适应方式在远程教育背景下会受到聋人用户的欢迎。
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引用次数: 0
Code Complexity Impact of Widgets Accessibility Implementation in JavaScript Open-Source Libraries 代码复杂性对JavaScript开源库中widget可访问性实现的影响
Pub Date : 2021-11-05 DOI: 10.1145/3470482.3479613
W. Watanabe, Guilherme de Lemos, Humberto Lidio Antonelli, Renata Pontin de Mattos Fortes, Gabriel Costa Silva
Widgets are part of many web applications and implement distinct interaction mechanisms, in reusable user interface components. However, implementing accessible widgets is a challenge, associated to different factors highlighted in the state-of-the-art, such as: lack of developers knowledge of accessibility guidelines, organization support and tools that support accessible development. This paper reports an investigation on JavaScript source-code complexity impacts of implementing accessibility requirements in widgets. We investigated Dialog, Drop-down menu and Tab widgets of 27 open-source JavaScript libraries. The results showed that widget software artifacts reported an increased average of source-code complexity when implementing accessibility requirements. Results also showed that using DOM-oriented JavaScript libraries (eg. jQuery) significantly increased source-code complexity of widgets. Nevertheless, when using Declarative Component-based JavaScript libraries, no significant difference in source-code complexity was observed. These results suggest that using Declarative Component-based widget libraries might reduce maintainability costs of JavaScript front-end projects.
小部件是许多web应用程序的一部分,在可重用的用户界面组件中实现不同的交互机制。然而,实现可访问的小部件是一项挑战,它与最新技术中强调的不同因素有关,例如:开发人员缺乏可访问性指导原则的知识、组织支持和支持可访问性开发的工具。本文报告了一项关于在小部件中实现可访问性需求对JavaScript源代码复杂性影响的调查。我们调查了27个开源JavaScript库的对话框、下拉菜单和标签小部件。结果表明,当实现可访问性需求时,小部件软件工件报告了源代码复杂性的平均增加。结果还表明,使用面向dom的JavaScript库(例如。jQuery)显著增加了小部件源代码的复杂性。然而,当使用基于声明式组件的JavaScript库时,没有观察到源代码复杂性的显著差异。这些结果表明,使用基于声明式组件的小部件库可能会降低JavaScript前端项目的可维护性成本。
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引用次数: 1
期刊
Proceedings of the Brazilian Symposium on Multimedia and the Web
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