| Title | A Mixed-reality Interaction-driven Game-based Learning Framework |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Spiliotopoulos D, Margaris D, Vassilakis C, Petukhova V, Kotis K |
| Conference Name | Proceedings of the 11th International Conference on Management of Digital EcoSystems (MEDES'19) |
| Publisher | ACM |
| Keywords | Accountability, Citizen Engagement, e-government, Legislation, Mobile Public Services, Natural language processing, Policy Modelling, Transparency |
| Abstract | This work presents a platform for linked legislative data to engage citizens in transparent and effective democracies. With a focus on scaling up participatory approaches from local to national level, the approach extends well established and open source tools and technologies, to build mobile monitoring and analysis tools that increase transparency of law-making and implementation to citizens. This is achieved by combining open data and open services with user and citizen generated content, in order to address citizen’s needs in the context of open government. Data and feeds from trusted sources are interconnected with new and re-purposed data feeds generated by users via the social web to form a meaningful, searchable, customizable, re-usable and open data-focused personalised mobile public service approach. The framework exploits the social aspects of open data, as well as the training of users, citizens and public servants to be able to understand and demand useful public open data, as well as facilitate the opening of more data. |
