
Ilola Matte developed core training and localization features for the FarmasiaVR/farmasia-vr repository, focusing on XR lab workflows and multilingual user experience. Over three months, Ilola delivered eleven features and resolved four bugs, implementing robust C# scripting and Unity scene management to support guided task flows, automatic item handling, and real-time feedback. Their work included expanding localization coverage across English, Finnish, and Swedish, refining UI messaging, and stabilizing notification and tutorial systems. By integrating prefab creation, asset management, and XR Interaction Toolkit, Ilola improved data integrity, reduced user friction, and enabled more accessible, reliable training environments for VR-based laboratory simulations.

April 2025 performance summary for FarmasiaVR/farmasia-vr focused on delivering core training features, advancing localization and UX, and stabilizing in-app messaging and tutorials to boost user adoption and operational efficiency. Key work centered on XR lab interactions, guided workflows, and reliable notifications, with a strong emphasis on business value: faster training cycles, fewer user errors, and higher quality data from the Colony Counting task flow.
April 2025 performance summary for FarmasiaVR/farmasia-vr focused on delivering core training features, advancing localization and UX, and stabilizing in-app messaging and tutorials to boost user adoption and operational efficiency. Key work centered on XR lab interactions, guided workflows, and reliable notifications, with a strong emphasis on business value: faster training cycles, fewer user errors, and higher quality data from the Colony Counting task flow.
Monthly summary for 2025-03: Delivered key features in Farmasia VR and strengthened UI reliability and localization. Key outcomes included: 1) Move Items to Table UI feature with localization, prefab/script/scene integration and completion gating; 2) Added cabinet items to scene (plate lids, phosphate buffer cap) with state updates; 3) UI improvements removing maximum row limit in writing to prevent errors and streamline typing; 4) Enforced single-line input for test tubes to improve data integrity; 5) Localization improvements across Plate Count Method, Mixing, and user feedback with EN/FI/SV support, enabling more accurate messaging in multiple languages and easier future task/localization work. These changes reduced user friction, improved task flow, and demonstrated skills in Unity UI/UX, localization engineering, and code organization.
Monthly summary for 2025-03: Delivered key features in Farmasia VR and strengthened UI reliability and localization. Key outcomes included: 1) Move Items to Table UI feature with localization, prefab/script/scene integration and completion gating; 2) Added cabinet items to scene (plate lids, phosphate buffer cap) with state updates; 3) UI improvements removing maximum row limit in writing to prevent errors and streamline typing; 4) Enforced single-line input for test tubes to improve data integrity; 5) Localization improvements across Plate Count Method, Mixing, and user feedback with EN/FI/SV support, enabling more accurate messaging in multiple languages and easier future task/localization work. These changes reduced user friction, improved task flow, and demonstrated skills in Unity UI/UX, localization engineering, and code organization.
February 2025 monthly summary for FarmasiaVR/farmasia-vr: Focused on delivering multilingual localization, robust item-handling, and improved user feedback. Implemented broad localization coverage and UI messaging changes, along with previews for in-game events. Strengthened task-logic to prevent premature completion when dirty items are present, and introduced automatic cleaning of dirty items upon insertion to improve reliability and UX. These efforts enhanced business value by reducing user confusion, improving data quality for task tracking, and delivering a more accessible player experience.
February 2025 monthly summary for FarmasiaVR/farmasia-vr: Focused on delivering multilingual localization, robust item-handling, and improved user feedback. Implemented broad localization coverage and UI messaging changes, along with previews for in-game events. Strengthened task-logic to prevent premature completion when dirty items are present, and introduced automatic cleaning of dirty items upon insertion to improve reliability and UX. These efforts enhanced business value by reducing user confusion, improving data quality for task tracking, and delivering a more accessible player experience.
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