Child Privacy Protection Engine for Smart Anthropomorphic Toys

智能拟人玩具儿童隐私保护引擎

• 批准号: RGPIN-2016-05023
• 负责人: Hung, Patrick
• 金额: $ 1.6万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=654101
• 关键词: Child; Privacy; Protection; Engine; Smart

Children's toys have become increasingly sophisticated over the years, with a growing shift from simple physical products to toys that engage the digital world by the use of software and hardware. In this research, a smart anthropomorphic toy is defined as a device consisting of a physical toy component in a humanoid form that connects to a computing system with online services through networking and sensory technologies to enhance the functionality of a traditional toy such as Mattel's Hello Barbie and Cognitoys Dino. This new paradigm introduces a Service Oriented Architecture approach in toy computing between the toys (service providers) and children (service requestors). Referring to the direction of the United States Federal Trade Commission Children's Online Privacy Protection Act and the European Union Data Protection Directive, this research adopts the definition of a child as an individual under the age of 13 years old. Another concern with child users is that the usage patterns of children differ from that of an adult. In this research, the assumption is that children often have little understanding or regard for the privacy of their information, and are more likely to act in spontaneous ways. The usage behaviour of children indicates that they are more open to giving out private information, which makes issues of sensitive data sharing of great concern. Many studies found that anthropomorphic toys serve a purpose, as children trusted such designs and felt at ease disclosing private information. Online privacy for children has been a great concern in this environment, particularly when the child's private information is involved and can be potentially shared with other parties. For example, a new invention called “Google Toy” has caused many criticisms from the media as people express concern about possible privacy breaching by Google, especially to their children at home. Privacy can result in physical safety of child user, e.g., child predators. All of these risks are increased with the possibility of child predators becoming aware of the child's location or historical location patterns. While parents strive to ensure their child's physical and online safety and privacy, there is no standardized child protection engine for parental control in this paradigm. Parental control is a feature in a smart toy for the parents to restrict the content the children can provide to the toy. The main objective of this research is on developing a privacy-aware context data model for smart toys to support a standardized child protection framework with parental controls. The framework includes an alert mechanism by applying text mining techniques to identify suspicious dialogue between children and the toys. The potential impact of this research is to provide a safe smart toy computing delivery model to protect children in Canada. This research team includes 2 Ph.D. and 2 Master students in Informatoin Technology.

这些年来，儿童玩具已经变得越来越复杂，从简单的物理产品转变为通过使用软件和硬件吸引数字世界的玩具。在这项研究中，智能拟人化的玩具定义为由人体机器人形式的物理玩具组件组成的设备，该设备通过网络和感官技术连接带有在线服务的计算系统，以增强传统玩具的功能，例如Mattel's Hello Barbie和Cognitoys Dino。这种新的范式在玩具（服务提供商）和儿童（服务请求）之间的玩具计算中引入了一种面向服务的体系结构方法。在谈到美国联邦贸易委员会儿童在线隐私保护法和《欧盟数据保护指令》的指示时，本研究采用了儿童的定义为13岁以下的个人。儿童用户的另一个问题是，儿童的使用模式与成人不同。在这项研究中，假设儿童通常对他们信息的隐私几乎没有理解或关注，并且更有可能以赞助方式采取行动。儿童的使用行为表明，他们更愿意提供私人信息，这使得敏感的数据共享非常关注。许多研究发现，拟人化玩具有目的，因为孩子们信任这样的设计，并放心地披露了私人信息。在这种环境中，在线隐私在线隐私是一个非常关注的问题，尤其是当儿童的私人信息涉及并且可以与其他各方共享时。例如，一个名为“ Google Toy”的新活动引起了媒体的许多关键主义，因为人们对Google可能违反隐私的关注，尤其是对他们的孩子在家中可能泄露隐私。隐私可能会导致儿童用户（例如儿童掠食者）的身体安全。随着儿童掠食者意识到孩子的位置或历史位置模式，所有这些风险都会增加。父母努力确保孩子的身体和在线安全和隐私，但在此范式中没有标准化的儿童保护引擎来控制父母。父母控制是智能玩具中的一项功能，供父母限制孩子可以提供给玩具的内容。这项研究的主要目的是为智能玩具开发隐私感知的上下文数据模型，以支持具有父母控制的标准化儿童保护框架。该框架包括通过应用文本挖掘技术来确定儿童与玩具之间的可疑对话，包括一种警报机制。这项研究的潜在影响是提供一个安全的智能玩具计算交付模型，以保护加拿大的儿童。该研究团队包括2个博士学位。和2位Informatoin技术的硕士学生。