{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/1879"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/1879","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"GAMR: Game Analytics for Mixed Reality","abstract":"Recently, game analytics has emerged as a primary tool for guaranteeing game quality, comprehending player behavior, and augmenting the overall player experience. However, most game analytic tools are designed for PC and Virtual Reality (VR) games, creating a void for Mixed Reality (MR) and Augmented Reality (AR) developers. To bridge this gap, we introduce GAMR, an analytics tool designed for MR games, aimed at assisting developers in identifying and resolving issues and bugs within their MR games. By offering data visualizations and reconstructing the original session using recorded gameplay data, GAMR provides comprehensive insights and analysis to enhance the development process. To evaluate the usefulness of GAMR, we conducted assessments on two genres: action-adventure and first-person shooter (FPS) where participants utilized GAMR across both games. The results of the evaluation demonstrated the usefulness of GAMR in both game genres, with a stronger indication of its utility in the Action-Adventure game.","abstract_html":"Recently, game analytics has emerged as a primary tool for guaranteeing game quality, comprehending player behavior, and augmenting the overall player experience. However, most game analytic tools are designed for PC and Virtual Reality (VR) games, creating a void for Mixed Reality (MR) and Augmented Reality (AR) developers. To bridge this gap, we introduce GAMR, an analytics tool designed for MR games, aimed at assisting developers in identifying and resolving issues and bugs within their MR games. By offering data visualizations and reconstructing the original session using recorded gameplay data, GAMR provides comprehensive insights and analysis to enhance the development process. To evaluate the usefulness of GAMR, we conducted assessments on two genres: action-adventure and first-person shooter (FPS) where participants utilized GAMR across both games. The results of the evaluation demonstrated the usefulness of GAMR in both game genres, with a stronger indication of its utility in the Action-Adventure game.","abstract_has_math":false,"creators":["Sargolzaei, Parisa"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Science (MSc)","degree_level":null,"degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":[],"advisors":["Zaman, Loutfouz"],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-08-01","date_published":"2023-08-01","updated_at":"2026-07-24T05:35:41Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/1879","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Zaman, Loutfouz"]},{"key":"dc:creator","label":"Author","values":["Sargolzaei, Parisa"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-03-17T15:49:18Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-03-17T15:49:18Z"]},{"key":"dc:date.issued","label":"Date","values":["2023-08-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MSc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/1879"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Recently, game analytics has emerged as a primary tool for guaranteeing game quality, comprehending player behavior, and augmenting the overall player experience. However, most game analytic tools are designed for PC and Virtual Reality (VR) games, creating a void for Mixed Reality (MR) and Augmented Reality (AR) developers. To bridge this gap, we introduce GAMR, an analytics tool designed for MR games, aimed at assisting developers in identifying and resolving issues and bugs within their MR games. By offering data visualizations and reconstructing the original session using recorded gameplay data, GAMR provides comprehensive insights and analysis to enhance the development process. To evaluate the usefulness of GAMR, we conducted assessments on two genres: action-adventure and first-person shooter (FPS) where participants utilized GAMR across both games. The results of the evaluation demonstrated the usefulness of GAMR in both game genres, with a stronger indication of its utility in the Action-Adventure game."]},{"key":"dc:title","label":"Title","values":["GAMR: Game Analytics for Mixed Reality"]}]}],"canonical_facts":{"dc:contributor.advisor":["Zaman, Loutfouz"],"dc:creator":["Sargolzaei, Parisa"],"dc:date.accessioned":["2025-03-17T15:49:18Z"],"dc:date.available":["2025-03-17T15:49:18Z"],"dc:date.issued":["2023-08-01"],"dc:description.abstract":["Recently, game analytics has emerged as a primary tool for guaranteeing game quality, comprehending player behavior, and augmenting the overall player experience. However, most game analytic tools are designed for PC and Virtual Reality (VR) games, creating a void for Mixed Reality (MR) and Augmented Reality (AR) developers. To bridge this gap, we introduce GAMR, an analytics tool designed for MR games, aimed at assisting developers in identifying and resolving issues and bugs within their MR games. By offering data visualizations and reconstructing the original session using recorded gameplay data, GAMR provides comprehensive insights and analysis to enhance the development process. To evaluate the usefulness of GAMR, we conducted assessments on two genres: action-adventure and first-person shooter (FPS) where participants utilized GAMR across both games. The results of the evaluation demonstrated the usefulness of GAMR in both game genres, with a stronger indication of its utility in the Action-Adventure game."],"dc:identifier.uri":["https://hdl.handle.net/10155/1879"],"dc:language.iso":["en"],"dc:title":["GAMR: Game Analytics for Mixed Reality"],"dc:type":["Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_name":["Master of Science (MSc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:41Z"}