Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project

Aamna Al-Shehhi; Zeyar Aung; Wei Lee Woon

doi:10.1007/978-3-319-27430-0_10

Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project

Aamna Al-Shehhi
, Zeyar Aung
, Wei Lee Woon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

A Geographic Information Systems (GIS) play a vital role in various applications associated with sustainable development and clean energy. In these applications, the GIS provides a capability to upload onsite geographical information collected by public into online maps. One of the major problems is how to make a decision for those reports. In this paper, we study two types of cognitive modes for decision making: argument and narrative reasoning.We investigate how various discussion representations, argumentation theoretical model, and reasoning modes of geo-graphics problems affect knowledge accumulation and argument quality. We conduct empirical tests on different groups of participants regarding their discussions on a particular offshore wind farm project as a case study. We have demonstrated that graph representation provides better results than threaded representation for collaborative work. We also illustrate that the argument theoretical model leads to reduce participants’ performance. Moreover, we conclude that there is no significant difference between narrative representation and graph representation in the participants’ performance to construct knowledge.

Original language	British English
Title of host publication	Data Analytics for Renewable Energy Integration - 3rd ECML PKDD Workshop, DARE 2015, Revised Selected Papers
Editors	Wei Lee Woon, Zeyar Zeyar Aung, Stuart Madnick
Publisher	Springer Verlag
Pages	135-154
Number of pages	20
ISBN (Print)	9783319274294
DOIs	https://doi.org/10.1007/978-3-319-27430-0_10
State	Published - 2015
Event	3rd International Conference on Data Analytics for Renewable Energy Integration, DARE 2015 - Porto, Portugal Duration: 11 Sep 2015 → 11 Sep 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9518
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Data Analytics for Renewable Energy Integration, DARE 2015
Country/Territory	Portugal
City	Porto
Period	11/09/15 → 11/09/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 16 Peace, Justice and Strong Institutions
SDG 17 Partnerships for the Goals

Keywords

Argumentation models
GIS
IBIS
Narrative
PPGIS
Public participation
Story-telling

Access to Document

10.1007/978-3-319-27430-0_10

OpenUrl availability

Full text

Cite this

Al-Shehhi, A., Aung, Z., & Woon, W. L. (2015). Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project. In W. L. Woon, Z. Zeyar Aung, & S. Madnick (Eds.), Data Analytics for Renewable Energy Integration - 3rd ECML PKDD Workshop, DARE 2015, Revised Selected Papers (pp. 135-154). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9518). Springer Verlag. https://doi.org/10.1007/978-3-319-27430-0_10

Al-Shehhi, Aamna ; Aung, Zeyar ; Woon, Wei Lee. / Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction : A case study for an offshore wind farm project. Data Analytics for Renewable Energy Integration - 3rd ECML PKDD Workshop, DARE 2015, Revised Selected Papers. editor / Wei Lee Woon ; Zeyar Zeyar Aung ; Stuart Madnick. Springer Verlag, 2015. pp. 135-154 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Al-Shehhi, A , Aung, Z & Woon, WL 2015, Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project. in WL Woon, Z Zeyar Aung & S Madnick (eds), Data Analytics for Renewable Energy Integration - 3rd ECML PKDD Workshop, DARE 2015, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9518, Springer Verlag, pp. 135-154, 3rd International Conference on Data Analytics for Renewable Energy Integration, DARE 2015, Porto, Portugal, 11/09/15. https://doi.org/10.1007/978-3-319-27430-0_10

Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project. / Al-Shehhi, Aamna ; Aung, Zeyar; Woon, Wei Lee.
Data Analytics for Renewable Energy Integration - 3rd ECML PKDD Workshop, DARE 2015, Revised Selected Papers. ed. / Wei Lee Woon; Zeyar Zeyar Aung; Stuart Madnick. Springer Verlag, 2015. p. 135-154 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9518).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T2 - 3rd International Conference on Data Analytics for Renewable Energy Integration, DARE 2015

AU - Al-Shehhi, Aamna

AU - Aung, Zeyar

AU - Woon, Wei Lee

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

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Y1 - 2015

N2 - A Geographic Information Systems (GIS) play a vital role in various applications associated with sustainable development and clean energy. In these applications, the GIS provides a capability to upload onsite geographical information collected by public into online maps. One of the major problems is how to make a decision for those reports. In this paper, we study two types of cognitive modes for decision making: argument and narrative reasoning.We investigate how various discussion representations, argumentation theoretical model, and reasoning modes of geo-graphics problems affect knowledge accumulation and argument quality. We conduct empirical tests on different groups of participants regarding their discussions on a particular offshore wind farm project as a case study. We have demonstrated that graph representation provides better results than threaded representation for collaborative work. We also illustrate that the argument theoretical model leads to reduce participants’ performance. Moreover, we conclude that there is no significant difference between narrative representation and graph representation in the participants’ performance to construct knowledge.

AB - A Geographic Information Systems (GIS) play a vital role in various applications associated with sustainable development and clean energy. In these applications, the GIS provides a capability to upload onsite geographical information collected by public into online maps. One of the major problems is how to make a decision for those reports. In this paper, we study two types of cognitive modes for decision making: argument and narrative reasoning.We investigate how various discussion representations, argumentation theoretical model, and reasoning modes of geo-graphics problems affect knowledge accumulation and argument quality. We conduct empirical tests on different groups of participants regarding their discussions on a particular offshore wind farm project as a case study. We have demonstrated that graph representation provides better results than threaded representation for collaborative work. We also illustrate that the argument theoretical model leads to reduce participants’ performance. Moreover, we conclude that there is no significant difference between narrative representation and graph representation in the participants’ performance to construct knowledge.

KW - Argumentation models

KW - GIS

KW - IBIS

KW - Narrative

KW - PPGIS

KW - Public participation

KW - Story-telling

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 135

EP - 154

BT - Data Analytics for Renewable Energy Integration - 3rd ECML PKDD Workshop, DARE 2015, Revised Selected Papers

A2 - Woon, Wei Lee

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A2 - Madnick, Stuart

PB - Springer Verlag

Y2 - 11 September 2015 through 11 September 2015

ER -

Al-Shehhi A , Aung Z, Woon WL. Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project. In Woon WL, Zeyar Aung Z, Madnick S, editors, Data Analytics for Renewable Energy Integration - 3rd ECML PKDD Workshop, DARE 2015, Revised Selected Papers. Springer Verlag. 2015. p. 135-154. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-27430-0_10

Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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