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bmlTUX: Design and Control of Experiments in Virtual Reality and Beyond
Advances in virtual reality technology have made it a valuable new tool for vision and perception researchers. Coding virtual reality experiments from scratch can be difficult and time-consuming, so researchers rely on software such as Unity game engine to create and edit virtual scenes. However, Un...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370570/ https://www.ncbi.nlm.nih.gov/pubmed/32733664 http://dx.doi.org/10.1177/2041669520938400 |
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author | Bebko, Adam O. Troje, Nikolaus F. |
author_facet | Bebko, Adam O. Troje, Nikolaus F. |
author_sort | Bebko, Adam O. |
collection | PubMed |
description | Advances in virtual reality technology have made it a valuable new tool for vision and perception researchers. Coding virtual reality experiments from scratch can be difficult and time-consuming, so researchers rely on software such as Unity game engine to create and edit virtual scenes. However, Unity lacks built-in tools for controlling experiments. Existing third-party add-ins requires complicated scripts to define experiments. This can be difficult and requires advanced coding knowledge, especially for multifactorial experimental designs. In this article, we describe a new free and open-source tool called the BiomotionLab Toolkit for Unity Experiments (bmlTUX) that provides a simple interface for controlling experiments in Unity. In contrast to existing tools, bmlTUX provides a graphical interface to automatically handle combinatorics, counterbalancing, randomization, mixed designs, and blocking of trial order. The toolbox works out-of-the-box since simple experiments can be created with almost no coding. Furthermore, multiple design configurations can be swapped with a drag-and-drop interface allowing researchers to test new configurations iteratively while maintaining the ability to easily revert to previous configurations. Despite its simplicity, bmlTUX remains highly flexible and customizable, catering to coding novices and experts alike. |
format | Online Article Text |
id | pubmed-7370570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73705702020-07-29 bmlTUX: Design and Control of Experiments in Virtual Reality and Beyond Bebko, Adam O. Troje, Nikolaus F. Iperception Methods Advances in virtual reality technology have made it a valuable new tool for vision and perception researchers. Coding virtual reality experiments from scratch can be difficult and time-consuming, so researchers rely on software such as Unity game engine to create and edit virtual scenes. However, Unity lacks built-in tools for controlling experiments. Existing third-party add-ins requires complicated scripts to define experiments. This can be difficult and requires advanced coding knowledge, especially for multifactorial experimental designs. In this article, we describe a new free and open-source tool called the BiomotionLab Toolkit for Unity Experiments (bmlTUX) that provides a simple interface for controlling experiments in Unity. In contrast to existing tools, bmlTUX provides a graphical interface to automatically handle combinatorics, counterbalancing, randomization, mixed designs, and blocking of trial order. The toolbox works out-of-the-box since simple experiments can be created with almost no coding. Furthermore, multiple design configurations can be swapped with a drag-and-drop interface allowing researchers to test new configurations iteratively while maintaining the ability to easily revert to previous configurations. Despite its simplicity, bmlTUX remains highly flexible and customizable, catering to coding novices and experts alike. SAGE Publications 2020-07-17 /pmc/articles/PMC7370570/ /pubmed/32733664 http://dx.doi.org/10.1177/2041669520938400 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/ Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Methods Bebko, Adam O. Troje, Nikolaus F. bmlTUX: Design and Control of Experiments in Virtual Reality and Beyond |
title | bmlTUX: Design and Control of Experiments in Virtual Reality and Beyond |
title_full | bmlTUX: Design and Control of Experiments in Virtual Reality and Beyond |
title_fullStr | bmlTUX: Design and Control of Experiments in Virtual Reality and Beyond |
title_full_unstemmed | bmlTUX: Design and Control of Experiments in Virtual Reality and Beyond |
title_short | bmlTUX: Design and Control of Experiments in Virtual Reality and Beyond |
title_sort | bmltux: design and control of experiments in virtual reality and beyond |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370570/ https://www.ncbi.nlm.nih.gov/pubmed/32733664 http://dx.doi.org/10.1177/2041669520938400 |
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