DATA agent

dc.contributor.author	Cerny Green, Michael	en
dc.contributor.author	Barros, Gabriella A. B.	en
dc.contributor.author	Liapis, Antonios	en
dc.contributor.author	Togelius, Julian	en
dc.date.accessioned	2019-02-17T05:37:50Z
dc.date.available	2019-02-17T05:37:50Z
dc.date.issued	2019-02-17
dc.identifier.uri	http://hdl.handle.net/11400/20236
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.title	DATA agent	en
heal.type	conferenceItem
heal.identifier.secondary	https://dblp.org/db/conf/fdg/fdg2018.html
heal.language	en
heal.access	free
heal.publicationDate	2018
heal.bibliographicCitation	Michael Cerny Green, Gabriella A. B. Barros, Antonios Liapis and Julian Togelius: "DATA Agent" in Proceedings of the 13th Conference on the Foundations of Digital Games, 2018.	en
heal.abstract	This paper introduces DATA Agent, a system which creates murder mystery adventures from open data. In the game, the player takes on the role of a detective tasked with finding the culprit of a murder. All characters, places, and items in DATA Agent games are generated using open data as source content. The paper discusses the general game design and user interface of DATA Agent, and provides details on the generative algorithms which transform linked data into different game objects. Findings from a user study with 30 participants playing through two games of DATA Agent show that the game is easy and fun to play, and that the mysteries it generates are straightforward to solve.	en
heal.sponsor	The CROSSCULT project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 693150	en
heal.fullTextAvailability	false
heal.conferenceName	FDG '18 Proceedings of the 13th International Conference on the Foundations of Digital Games Article No. 19	en
heal.conferenceItemType	full paper