Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.742009
Title: Designing digital constructive visualization tools
Author: Méndez, Gonzalo Gabriel
ISNI:       0000 0004 7225 8676
Awarding Body: University of St Andrews
Current Institution: University of St Andrews
Date of Award: 2018
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Abstract:
The emergence of tools that support fast and easy creation of visualizations has made the benefits of Information Visualization (InfoVis) more accessible. The predominant design for visualization authoring tools often includes features such as automated mappings and visualization templates, which make tools effective and easy-to-use. These features, however, still impose barriers to non-experts (i.e., people with no formal training on visualization concepts). The paradigm of Constructive Visualization (ConstructiveVis) has shown potential to overcome some of these barriers, but it has only been investigated through the use of physical tokens that people manipulate to create representations of data. This dissertation investigates how the principles of ConstructiveVis can be applied in the design and implementation of digital constructive visualization tools. This thesis presents the results of several observational studies that uncover how tools that promote a constructive approach to visualization compare to more conventional ones. It also sheds light on what kind of benefits and limitations digital ConstructiveVis brings into non-experts' visualization design process. The investigations here presented lay the foundations for the design of better visualization tools that not only allow people to create effective visualizations but also promote critical reflection on design principles.
Supervisor: Nacenta, Miguel Sponsor: Secretaría de Educación Superior, Ciencia, Tecnología e Innovación (Ecuador) ; Escuela Superior Politécnica del Litoral (Ecuador)
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.742009  DOI: Not available
Keywords: Information visualization ; Visualization ; Constructive visualization ; iVoLVER
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