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University of Ontario Institute of Technology

Moving towards enhancing playtesting reports through data visualization

Abstract

dc:description.abstract

Playtesting is a key component in the game development process aimed at improving the quality of games through gameplay data collection and identification of design issues. Visualization techniques are currently being employed to help integrate quantitative and qualitative data. However, two existing challenges are to determine the level of detail to be presented to developers based on their needs and to effectively communicate the collected data so informed changes can be reached. This thesis looks at investigating the effectiveness of using aggregated visualizations with four alternate visual designs to communicate playtesting data of multiple sources. To evaluate the visualizations in terms of their effectiveness in assisting developers in utilizing playtesting data, I present a study involving a semi-structured interview with professional game developers. The results provide an important contribution to the fields of Games User Research and Human-Computer Interaction towards identifying areas of improvement in the portrayal of gameplay data.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MSc)
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Halabi, Nour
Advisor dc:contributor.advisor
  • Mirza-Babaei, Pejman

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1069
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1069

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Halabi, Nour. Moving towards enhancing playtesting reports through data visualization. University of Ontario Institute of Technology, 2019. https://hdl.handle.net/10155/1069