Design of collaborative and context aware mobile applications considering normative requirements from legal science and computer science (NORA)

情景感知应用程序以情景方式为用户提供额外的服务和功能，当然也是基于他们的情景。移动设备在这些场景中扮演着至关重要的角色，允许通过物理和生理传感器收集和处理直接从用户环境中获取的信息。例如，情景感知应用程序可以获得用户的当前位置、活动以及他们的情绪和压力水平。协作上下文感知应用程序收集和组合多个用户的数据，改进了此类信息的识别和预测，通常通过机器学习实现。通过使用其他实体，可以提取关于人的行为的新例程和信息。不幸的是，这种信息的协作处理对隐私构成了重大风险，因为敏感的和与人有关的信息是在外部实体上处理的。因此，该项目的目标是在考虑法律和计算机科学的规范性要求的同时，设计协作的上下文感知和移动应用程序以及机器学习算法。通过使用将规范要求具体化的方法(在德语中：Matode zur Konkretsierung Normatver Anforderungen(KONA))，将得出法律和技术标准、要求和设计。在项目过程中，规范性要求将进一步扩大到适用于具体的技术设计，处理法律问题(例如，数据稀缺和透明度)以及技术规范和标准(例如，识别准确性和处理时间)。这一尚待开发的方法KONA将在两个移动协作上下文感知应用程序以及识别和预测上下文信息的机器学习算法上进行评估。

Context-aware applications support users with additional services and functionalities in a situational manner and based, of course on their context. Mobile devices play a vital role in such scenarios, allowing for gathering and processing of information via physical and physiological sensors, taken directly from users’ environments. Context-aware applications, for example, can obtain users’ current locations, activities, as well as their emotions and stress levels. Collaborative context-aware applications gather and combine data of multiple users improving the recognition and prediction of such information, commonly realized via machine learning. By using additional entities, new routines, and information on people’s behaviour can be extracted. Such collaborative processing of information, unfortunately, poses a significant risk to privacy, as sensitive and person-related information is processed on external entities. The goal of this project is, therefore, to design collaborative context-aware and mobile applications as well as machine learning algorithms while considering normative requirements of the law and computer science. By using the method for concretizing normative requirements (in German: Methode zur Konkretisierung Normativer Anforderungen (KONA)) legal as well as technical criteria, requirements, and designs will be derived. In the course of the project, normative requirements will be further extended to apply to concrete technical designs, addressing legal (e.g., data scarcity and transparency) as well as technical norms and criteria (e.g., recognition accuracy and processing times). This still-to-be-developed method KONA will be evaluated on two mobile collaborative context-aware applications as well as machine learning algorithms to recognize and predict contextual information.