Details:
CHAnGe: Computational Humanistic Analytics in diGital Environments
Run time: 01.11.2023-31.10.2025
Soma Reality GmbH
Mixed reality technologies offer far-reaching opportunities for innovative and immersive services for end users in various areas such as healthcare, training and education as well as entertainment. However, these services rely on large amounts of sensitive, personal data. Currently, there are no mechanisms and general principles available that allow users to effectively take control of their sensitive data without having to opt out of the associated services.
The CHAnGE (Computational Humanistic Analytics in diGital Environments) project will develop a human-centric data analytics system that provides observable behavioural and physiological characteristics and associated interpretations of the human condition in the context of mixed reality devices, and implement a GDPR-compliant solution that enables users to retain control over their data, for example by controlling access or granting consent. The project also advances the MR industry by enabling developers to build functionalities and interfaces and overcome the trust barrier in data usage between companies and users.
The project is in the process of implementing a holistic, patient-centred analysis and modelling of therapy data. Much preliminary work has already been done, particularly in validating, processing and analysing sensor data from various devices. The next step is to prepare for large-scale modelling and analysis. One focus is on monitoring the progress of therapy over time and evaluating the contribution of patients.
Project adresses Data Protection-Reservations
The biggest challenges to the success of mixed reality applications are privacy and security, as the use of modern mixed reality devices raises concerns about data collection and misuse. There is confusion between the possibility of using the latest mixed reality devices for innovative applications and privacy concerns regarding the handling of sensitive information.
The CHAnGE project will start here and realise a transparent software solution that uses design and architecture principles to allow users to decide which data they want to share with which entity. At the same time, the solutions will enable third parties to build immersive and privacy-compliant applications on the generalised behavioural data provided via the MRDAL. The innovation of the technology developed in the CHAnGE project lies in its ability to effectively balance privacy and analytics. It leverages privacy-enhancing technologies, consent management and robust security measures to ensure GDPR compliance while enabling companies to derive valuable insights from observable behaviour and physiological data.
Thanks to the regional collaboration with the start-up Soma Reality, research is directly utilised locally and thus contributes to the active transfer of innovation.
Detailinformationen:
CHAnGe: Computational Humanistic Analytics in diGital Environments
Projektlaufzeit: 01.11.2023-31.10.2025
Auftrageber*in: Soma Reality GmbH
Mixed reality technologies offer far-reaching opportunities for innovative and immersive services for end users in various areas such as healthcare, training and education as well as entertainment. However, these services rely on large amounts of sensitive, personal data. Currently, there are no mechanisms and general principles available that allow users to effectively take control of their sensitive data without having to opt out of the associated services.
The CHAnGE (Computational Humanistic Analytics in diGital Environments) project will develop a human-centric data analytics system that provides observable behavioural and physiological characteristics and associated interpretations of the human condition in the context of mixed reality devices, and implement a GDPR-compliant solution that enables users to retain control over their data, for example by controlling access or granting consent. The project also advances the MR industry by enabling developers to build functionalities and interfaces and overcome the trust barrier in data usage between companies and users.
The project is in the process of implementing a holistic, patient-centred analysis and modelling of therapy data. Much preliminary work has already been done, particularly in validating, processing and analysing sensor data from various devices. The next step is to prepare for large-scale modelling and analysis. One focus is on monitoring the progress of therapy over time and evaluating the contribution of patients.
Project adresses Data Protection-Reservations
The biggest challenges to the success of mixed reality applications are privacy and security, as the use of modern mixed reality devices raises concerns about data collection and misuse. There is confusion between the possibility of using the latest mixed reality devices for innovative applications and privacy concerns regarding the handling of sensitive information.
The CHAnGE project will start here and realise a transparent software solution that uses design and architecture principles to allow users to decide which data they want to share with which entity. At the same time, the solutions will enable third parties to build immersive and privacy-compliant applications on the generalised behavioural data provided via the MRDAL. The innovation of the technology developed in the CHAnGE project lies in its ability to effectively balance privacy and analytics. It leverages privacy-enhancing technologies, consent management and robust security measures to ensure GDPR compliance while enabling companies to derive valuable insights from observable behaviour and physiological data.
Thanks to the regional collaboration with the start-up Soma Reality, research is directly utilised locally and thus contributes to the active transfer of innovation.
