GermanyProject type: prototypeBig Data Analytics Group at the Martin Luther University Halle-Wittenberg
Within this project, a prototype will be developed that brings written news articles from the web or print to smart speakers. A word processor component will enable journalists to semi-automatically adapt a text for a good user experience when read out by a smart speaker. A conversational smart speaker application will support an engaging news consumption with the possibility to ask for background information, etc.
Bringing written news to smart speakers requires expertise and often time-consuming adaptations to a text - obstacles in particular for smaller news publishers. To simplify this process, a system will be developed with "spell checker" inspired suggested text transformations, to make some news articles easier to read out in a smart speaker environment. Furthermore, the system will provide a ready-to-use but adaptable conversational interface allowing a user to engage with the news by filtering articles, retrieving related news, or asking for background information.
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