Biblio

Informations

Type:: inproceedings
Auteurs:: Bala, Pauloand James, Stuartand Del Bue, Alessioand Nisi, Valentina
Pertinence:: Haute
Référence:
Doi:: 10.1145/3544548.3580969
Mots-clés:
Url:: https://link.springer.com/chapter/10.1007/978-3-031-22298-6_9#citeas
Date de publication:: 12/2022
Résumé:: éditeur de texte avec recherche automatique dans les données de wikidata en fonction des mots présents dans le texte.
Abstract:: Digital Storytelling can exploit numerous technologies and sources of information to support the creation, refinement and enhancement of a narrative. Research on text editing tools has created novel interactions that support authors in different stages of the creative process, such as the inclusion of crowd-generated content for writing. While these interactions have the potential to change workflows, integration of these in a way that is useful and matches users' needs is unclear. In order to investigate the space of Assisted Storytelling, we designed and conducted a study to analyze how users write and edit a story about Cultural Heritage using an auxiliary source like Wikipedia. Through a diffractive analysis of stories, creative processes, and social and cultural contexts, we reflect and derive implications for design. These were applied to develop an AI-supported text editing tool using crowd-sourced content from Wikipedia and Wikidata.
Pdf:: Lien pdf

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Titre	Type	Pertinence	Auteurs	Date Publication	Références	Citations	Actions
Wordcraft: Story Writing With Large Language Models	inproceedings	Haute	Yuan, Ann and Coenen, Andy and Reif, Emily and Ippolito, Daphne	03/2022	3	6	voir

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