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Output details

11 - Computer Science and Informatics

Teesside University

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Output 22 of 43 in the submission
Output title

Instantiating interactive narratives from patient education documents

Type
E - Conference contribution
Name of conference/published proceedings
Artificial Intelligence in Medicine
Volume number
-
Issue number
-
First page of article
273
ISSN of proceedings
1611-3349
Year of publication
2013
Number of additional authors
4
Additional information

<28> This research revisits previous attempts at generating 3D animations from text, in order to make complex documents easier to understand. Our approach consists in using plan-based representations underpinning interactive narratives as targets for natural language processing, hence providing a higher level of abstraction for semantic mapping. The originality of this method is to optimise the balance between default knowledge, not conveyed by the text, and situations explicitly described. We identify specific reference issues, and explore representative examples within a first interactive narrative prototype dedicated to patient education in surgery. These constitute early results from the FP7 FET project MUSE (FP7-296703).

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-