Toward the Automated Detection of Individuals’ Rationales in Large-Scale Online Open Participative Activities: A Conceptual Framework

Xiao, L; Stromer-Galley, J; Sándor, Á

Toward the Automated Detection of Individuals’ Rationales in Large-Scale Online Open Participative Activities: A Conceptual Framework

Xiao, L Stromer-Galley, J Sándor, Á

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: Group Decision and Negotiation, 2017, 26, (5), pp. 891-910
Issue Date:: 2017-09-01

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Field	Value	Language
dc.contributor.author	Xiao, L
dc.contributor.author	Stromer-Galley, J
dc.contributor.author	Sándor, Á
dc.date.accessioned	2022-10-03T05:41:57Z
dc.date.available	2022-10-03T05:41:57Z
dc.date.issued	2017-09-01
dc.identifier.citation	Group Decision and Negotiation, 2017, 26, (5), pp. 891-910
dc.identifier.issn	0926-2644
dc.identifier.issn	1572-9907
dc.identifier.uri	http://hdl.handle.net/10453/162237
dc.description.abstract	In large-scale online open participative (LSOOP) activities, participants can join and leave at any time, and they often do not have a history of working together. Although the communication history is usually accessible to the participants in the environment, it is time consuming for them to process the communication data because of the large volume of messages. These characteristics make it difficult for one to keep track of, identify, and interpret the others’ ideas, opinions, and their rationales in LSOOP activities. We argue for a computational approach that automatically identifies and extracts the rationales from LSOOP communication data and presents them to the participants through rationale-based awareness tools. In this paper we bring together different and hitherto independent lines of research, and propose to use them in a conceptual framework integrating three analytical aspects related to the detection of rationales: linguistic, informational, and argumentative and communicative. We also review the design effort on offering rationale-based awareness in the LSOOP activities.
dc.language	en
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	Group Decision and Negotiation
dc.relation.isbasedon	10.1007/s10726-016-9516-4
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1503 Business and Management
dc.subject.classification	Information Systems
dc.title	Toward the Automated Detection of Individuals’ Rationales in Large-Scale Online Open Participative Activities: A Conceptual Framework
dc.type	Journal Article
utslib.citation.volume	26
utslib.for	1503 Business and Management
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)/Connected Intelligence Centre
utslib.copyright.status	closed_access	*
dc.date.updated	2022-10-03T05:41:56Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	26
utslib.citation.issue	5

Abstract:

In large-scale online open participative (LSOOP) activities, participants can join and leave at any time, and they often do not have a history of working together. Although the communication history is usually accessible to the participants in the environment, it is time consuming for them to process the communication data because of the large volume of messages. These characteristics make it difficult for one to keep track of, identify, and interpret the others’ ideas, opinions, and their rationales in LSOOP activities. We argue for a computational approach that automatically identifies and extracts the rationales from LSOOP communication data and presents them to the participants through rationale-based awareness tools. In this paper we bring together different and hitherto independent lines of research, and propose to use them in a conceptual framework integrating three analytical aspects related to the detection of rationales: linguistic, informational, and argumentative and communicative. We also review the design effort on offering rationale-based awareness in the LSOOP activities.

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http://hdl.handle.net/10453/162237