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Title: A Support System to Accumulate Interpretations of Multiple Story Timelines
Authors: Ohmoto, Yoshimasa  kyouindb  KAKEN_id
Ookaki, Takashi
Nishida, Toyoaki  kyouindb  KAKEN_id
Author's alias: 大本, 義正
西田, 豊明
Keywords: group learning assistance
Knowledge archives
narrative technology
theatrical role play
Issue Date: 2016
Publisher: Elsevier
Journal title: Procedia Computer Science
Volume: 96
Start page: 607
End page: 616
Abstract: The story base interpretation is subjectively summarised and segmented from the first-person viewpoint. However, we often need to objectively represent an entire image by integrated knowledge. Yet, this is a difficult task. We proposed a novel approach, named the synthetic evidential study (SES), for understanding and augmenting collective thought processes through substantiated thought by interactive media. In this study, we investigated the kind of data that can be obtained through the SES sessions as interpretation archives and whether the database is useful to understand multiple story timelines. For the purpose, we designed a machine-readable interpretation data format and developed support systems to create and provide data that are easy to understand. We conducted an experiment using the simulation of the projection phase in SES sessions. From the results, we suggested that a "meta comment" which was deepened interpretation comment by the others in the interpretation archives to have been posted when it was necessary to consider other participants' interpretation to broaden their horizons before posting the comment. In addition, the construction of networks to represent the relationships between the interpretation comments enabled us to suggest the important comments by using the degree centrality.
Rights: © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
URI: http://hdl.handle.net/2433/218357
DOI(Published Version): 10.1016/j.procs.2016.08.241
Appears in Collections:Journal Articles

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