Argument Visualization and Narrative Approaches for Collaborative Spatial Decision Making and Knowledge Construction

  • Aamna M. Al-Shehhi

Student thesis: Master's Thesis

Abstract

A geographic Information system (GIS) plays a vital role in various applications associated with business efficiency, clean energy, sustainable development, disaster response and global climate-change. In these applications, the GIS can provide a capability to upload on-site geographical information collected by public into online maps. One of the major problems that the responders/interested parties usually have is how to make a decision for those reports. People typically solve problems or take decisions by one of the cognitive modes called "argument (deliberation)" reasoning. In this thesis, we study two types of cognitive modes: argument reasoning, in particular, argument representations such as graph and threaded representation and argument theoretical models, for instance, Issue Based Information System (IBIS) model, and narrative (story-telling) reasoning. This work investigates how various discussion representations, argumentation theoretical model, and reasoning modes of geo-graphics problems can affect knowledge accumulation and argument quality for collaborative work. We have built four distinctive frameworks based on argumentative and narrative approaches. We contact two empirical tests on two different groups of participants. First group generates data about a high controversy problem (Cape Wind Project) in those frameworks. Second group evaluates the knowledge and argument quality of those generated data. We have demonstrated that graph representation provides better results than threaded representation in the knowledge construction and in the quality of the argument. We also illustrate that the argument theoretical model leads to reduce participants' performance for producing data and argument quality scores. Moreover, we conclude that there is no significant difference between narrative representation and graph representation in the participants' performance to construct knowledge.
Date of Award2013
Original languageAmerican English
SupervisorU Zeyar Aung (Supervisor)

Keywords

  • Multiple criteria decision making; Artificial Intelligence; Argumentation Models; IBIS; GIS; Narrative; Story-Telling; Public participation; PPGIS.

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