Low-Literate Archives

Kwizie – From Passive Watching to Data-Driven Engagement

Challenge: How to support the recognition of competence with the help of a digital tool?

Kwizie – From Passive Watching to Data-Driven Engagement: AI Co-Pilot for Recognizing Competence from Video through Multiplayer Quiz Games

Helsinki and Tallinn piloted a new way to identify and develop work-life skills for unemployed residents. The technological solution was based on Kwizie Oy’s AI Co-Pilot for Recognizing Competence through Interactive Video Quiz Games which combine videos and questions into playful quizzes. The platform can be used for various purposes. In the case of Helsinki, it was applied to skill mapping, as the pilot aimed to support the City of Helsinki’s rehabilitation work activities in identifying and validating the competencies of long-term unemployed individuals. As part of the pilot, Kwizie produced video material that supported the provision of services to homeless people in Tallinn. The videos reduced the administrative burden and improved the acquisition of the content of the documents of the City of Tallinn’s welfare and health care services.

Through the pilots, Kwizie Oy was able to develop its product with customers through real-world applications. The Helsinki and Tallinn pilots demonstrated that gamification works well in developing work-life skills. Both cities and Kwizie Oy employees were satisfied with the pilot and the collaboration.

Video avatar translation widget (XS2 Content)

Challenge: AI-generated video making healthcare information more accessible
Video avatar translation widget

The Municipality of Amsterdam seeks solutions to help enhance citizens’ understanding of the Dutch National Immunisation Programme and improve overall health outcomes, particularly among those with low literacy skills and those from diverse backgrounds. XS2Content (XS2AUDIO BV) will address this need through the application Video avatar translation widget.

Target Groups:
•People who speak a different language
• Low-literacy individuals
• People with low family care
• Parents and young people with a Moroccan or Turkish background

Objectives:
• Reach hard-to-reach target groups through the use of video content in addition to text
• Reduce video-creation time by leveraging AI technology
• Convert existing text into spoken videos with real-life, lip synced avatars in multiple languages
• Make healthcare information more accessible by converting written content into video format
• Ensure easy accessibility by sharing videos on social media and web-widgetsany

Empowering low-literate citizens with AI (Tolkie)

Challenge: Wildcard – Propose any technological solution for any marginalised community
Empowering low literate citizens of Amsterdam with the help of A.I.

Amsterdam has 33.3% more low-literate citizens than average for the Netherlands. Tolkie has developed a tool that helps low-literate users to overcome obstacles in a complex text. Organizations embed our tool into their website and by doing so they enhance the accessibility of their online platform. Our current solution is developed together with low-literate people. In an iterative process of acquiring user needs, designing and developing a solution, testing with the target audience, adjusting the design, etc. we developed the tool we have now. Our tool currently operates on a per-word basis, meaning that the target audience gets reading aid when they encounter difficult words. However, complexity of a text lies not only in difficult words, but also in complex sentence structures, the use of jargon and proverbial language, the structure of longer texts, etc. During this challenge we are going to extend our reading aid and we want to achieve that with the use of AI and other modern technologies.