Tag Archives: READ-IT

READ-IT Dutch chatbot launched (10.03.2021)

The READ-IT project team are delighted to announce the launch of the Dutch version of our chatbot. The chatbot asks you a series of five different prompt questions, to encourage you to share your thoughts and responses about your reading habits, tastes and preferences. It is available via a web browser, as well as the […]

READ-IT Italian chatbot launched (16.02.2021)

The READ-IT project team are delighted to announce the launch of the Italian version of our chatbot. The chatbot asks you a series of five different prompt questions, to encourage you to share your thoughts and responses about your reading habits, tastes and preferences. It is available via a web browser, as well as the […]

The Reader in the Book: Books, Reading and Libraries in Fiction (18, 19, 25, 26.03.21)

The Reader in the Book: Books, Reading and Libraries in Fiction, a conference hosted by the Institute of English Studies, will take place on 18, 19, 25 and 26 March 2021. It is not hard to find fiction within fiction. Don Quixote modelled himself on chivalric romances, and became in turn a model for other […]

READ-IT French chatbot launched (05.02.2021); Le Mans conference (31.03-02.04.2021)

The READ-IT project team are delighted to announce the launch of the French version of our chatbot, ahead of the “Voisins” conference at Le Mans Université, 31 March to 2 April 2021. The chatbot can be accessed via the web or through the Telegram app. Thanks in particular to Elena Prat (Le Mans, France) and […]

Transmedia Beyond Definitions

The UK team members Francesca Benatti and Alessio Antonini are organizing the workshop “Transmedia Beyond Definitions” to bootstrap a cross-disciplinary discussion on the emerging practices of cross-media reading and authoring. The CfP is open for a number of contributions ranging from research papers, vision papers to flash talks. The submission deadline is February 5th 2021, […]

UK-RED & READ-IT

The UK Reading Experience Database (UK-RED) is a pioneering project collecting reading experiences, for over 20 years. On 4 January 2021, the UK team of READ-IT released a new version of the UK-RED data including a documented ontology and mappings with the READ-IT Reading Experience Ontology and Crowdsourcing Experience Ontology and the CIDOC-CRM implementation of […]

Circuits, Cycles, Configurations: an Interaction Model of Web Comics

In November 2020, Francesca Benatti and Alessio Antonini from the UK team of READ-IT, with Sam Brooker of the Richmond University of London, presented a new paper on Webcomics at the International Conference on Interactive Digital Storytelling (ICIDS2020). The paper “Circuits, Cycles, Configurations: an Interaction Model of Web Comics” discusses the role of non-diegetic interactions […]

READ-IT launches its friendly chatbot

Fancy having a chat about your reading in realtime? Now you can, with the project chatbot. Our friendly bot will ask you questions about your reading, interact with your answers, and suggest further reading and engagement opportunities. You can find the READ-IT chatbot on the Telegram platform: https://t.me/TellMeWhatUReadingbot If you’d like to download the Telegram app […]

READ-IT Consortium Meetings, 20-21.10.2020 (online)

The Open University were pleased to host the most recent consortium meeting on the 20-21 October 2020. On 20 October, we focussed on individual reports from all colleagues on different work packages, presentation and discussion around technical developments, annotation campaigns, and public engagement. On 21 October, we had an exciting research day, where members of the consortium and […]

Crowdsourcing Evidences

The READ-IT UK technical team have published an ontology for describing the READ-IT crowdsourcing of reading experiences on GitHub. This new ontology is used to describe the data collected through the READ-IT postcard campaigns, the upcoming READ-IT chatbot for telegram and manuscripts and other sources collected through the contribution platform. The use of the Crowdsourcing Evidences ontology […]