Alessio Antonini
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…
Read moreTransmedia 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,…
Read moreUK-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…
Read moreCircuits, 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 moreREAD-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 moreREAD-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…
Read moreCrowdsourcing 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…
Read moreRelease of the Experience & Observation
We’re pleased to announce the Release of the Experience & Observation (E&O). E&O is an ontology design pattern for describing the research case studies on experience. The E&O addresses the relations between sources of activities (e.g. reading) and the creation of observations of experience (i.e. sources of testimonies of experience), such as diaries, letters, marginalia…
Read moreOU researchers to contribute to international conference on interactive digital storytelling
The Open University researchers Alessio Antonini and Francesca Benatti have had a paper accepted to the 13th international conference on interactive digital storytelling, ICDIS 2020, taking place on the 3-5 November, in Bournemouth (UK). The paper is interested in webcomic experience, technology and lifecycle, and non-diegetic interactions occurring all around the production and experience of content….
Read moreAward for FASS authors at Hypertext 2020 conference
On 15th July 2020, a paper by Open University researchers Alessio Antonini, Francesca Benatti and Sally Blackburn-Daniels was awarded the Douglas Engelbart Best Paper Award at the 31stACM International Conference on Hypertext and Social Media (HT’20), held virtually at the University of Central Florida. Their paper was entitled On Links To Be: Exercises in Style #2and…
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