Empirical Evaluation of Narrative Visualisation: A Dual Approach Using Heuristic and End-User Evaluation Methods

Errey, Nina Z.

Empirical Evaluation of Narrative Visualisation: A Dual Approach Using Heuristic and End-User Evaluation Methods

Errey, Nina Z.

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Publication Type:: Thesis
Issue Date:: 2025

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Field	Value	Language
dc.contributor.author	Errey, Nina Z.
dc.date.accessioned	2026-03-18T02:49:04Z
dc.date.available	2026-03-18T02:49:04Z
dc.date.issued	2025
dc.identifier.uri	http://hdl.handle.net/10453/194365
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	Narrative visualisation is a form of visualisation that integrates storytelling with data visualisation. To be effective narrative visualisation must not miscommunicate information to its intended audience. Hence narrative visualisation should be systematically and rigorously evaluated to ensure that it is effective. An effective narrative visualisation is dually comprehensive and engaging for the reader. To ensure effectiveness, narrative visualisation evaluation methods must therefore look beyond conventional quantitative visualisation evaluation measures such as task completion time and error rate. This research is in two parts; inspection methods of evaluation and end-user testing methods of evaluation. These are two promising areas for narrative visualisation evaluation research. The first part of this thesis investigates inspection methods of evaluation. Inspection methods of evaluation are a group of evaluation methods where a small number of experts inspect a user interface to discover gaps in its design. When evaluators employ a set of guidelines or heuristics as an aid, this is termed ‘heuristic evaluation.’ This research motivates the necessity for a set of heuristics to employ when inspecting narrative visualisation for evaluation. Then presents a heuristic framework for the evaluation of narrative visualisation. The second part of this thesis focuses on end-user testing in narrative visualisation. It comprises of two empirical experiments. The results of the end-user testing study contribute to a better grasp of how technologies such as narrative visualisations, using different strategies, can be better designed.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/194365/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2025 Nina Z. Errey
dc.rights	au.edu.uts.lib/cph
dc.title	Empirical Evaluation of Narrative Visualisation: A Dual Approach Using Heuristic and End-User Evaluation Methods	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Narrative visualisation is a form of visualisation that integrates storytelling with data visualisation. To be effective narrative visualisation must not miscommunicate information to its intended audience. Hence narrative visualisation should be systematically and rigorously evaluated to ensure that it is effective. An effective narrative visualisation is dually comprehensive and engaging for the reader. To ensure effectiveness, narrative visualisation evaluation methods must therefore look beyond conventional quantitative visualisation evaluation measures such as task completion time and error rate. This research is in two parts; inspection methods of evaluation and end-user testing methods of evaluation. These are two promising areas for narrative visualisation evaluation research. The first part of this thesis investigates inspection methods of evaluation. Inspection methods of evaluation are a group of evaluation methods where a small number of experts inspect a user interface to discover gaps in its design. When evaluators employ a set of guidelines or heuristics as an aid, this is termed ‘heuristic evaluation.’ This research motivates the necessity for a set of heuristics to employ when inspecting narrative visualisation for evaluation. Then presents a heuristic framework for the evaluation of narrative visualisation. The second part of this thesis focuses on end-user testing in narrative visualisation. It comprises of two empirical experiments. The results of the end-user testing study contribute to a better grasp of how technologies such as narrative visualisations, using different strategies, can be better designed.

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