SimpleXR: An open-source Unity toolbox for simplifying vision research using augmented and virtual reality

计算机科学 工具箱 渲染(计算机图形) 人机交互 虚拟现实 增强现实 计算机图形学(图像) 程序设计语言
作者
Justin Kasowski,Michael Beyeler
出处
期刊:Journal of Vision [Association for Research in Vision and Ophthalmology]
卷期号:23 (9): 5518-5518
标识
DOI:10.1167/jov.23.9.5518
摘要

Extended reality (XR) is a powerful tool for human behavioral research. The ability to create 3D visual scenes and measure responses to arbitrary visual stimuli enables the behavioral researcher to test hypotheses in a well-controlled environment. However, software packages such as SteamVR, OpenXR, and ARKit have been developed for game designers rather than behavioral researchers. While Unity is considered the most beginner-friendly platform, barriers still exist for inexperienced programmers. Toolboxes such as VREX and USE have focused on simplifying experimental design and remote data collection, but no tools currently exist to help with all aspects of an experiment. To address this challenge, we have developed SimpleXR (sXR), an open-source Unity package that allows for creating complex experiments with relatively little code. The toolbox contains a plethora of tools that are particularly useful for the visual sciences, such as creating dynamic scenes, randomizing object locations, accessing eye-tracker data, and applying full-screen shader effects (e.g., blurring, gaze-contingent scotomas, edge detection) either in virtual reality (VR) or to the pass-through camera for augmented reality (AR) tasks. sXR also provides one-line commands for interacting with virtual objects, displaying stimuli and instructions, using timers, and much more. Additionally, it automatically switches between desktop and immersive VR modes. sXR creates separate user interfaces for the experimenter and participant, allowing the experimenter to track performance and monitor for anomalies. By using Unity’s Universal Rendering Pipeline, sXR allows researchers to develop across platforms, including VR headsets, AR glasses, and smartphones. sXR is freely available at github.com/unity-sXR/sXR.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
隐形曼青应助飞蚁采纳,获得10
1秒前
完美世界应助比较甜采纳,获得10
1秒前
爆米花应助风趣从霜采纳,获得10
2秒前
2秒前
2秒前
英俊的铭应助迷路的网络采纳,获得10
2秒前
3秒前
3秒前
3秒前
嘿嘿完成签到,获得积分10
4秒前
4秒前
DDDD发布了新的文献求助10
4秒前
Nefelibata发布了新的文献求助10
5秒前
6秒前
6秒前
坦率耳机完成签到,获得积分0
6秒前
尺素寸心发布了新的文献求助10
6秒前
7秒前
7秒前
栗子栗栗子完成签到,获得积分10
7秒前
zhaoman完成签到,获得积分10
7秒前
7秒前
我是老大应助Siren采纳,获得10
8秒前
AD钙钙钙发布了新的文献求助30
8秒前
852应助...采纳,获得10
8秒前
文静完成签到,获得积分10
8秒前
pups发布了新的文献求助20
8秒前
xwy发布了新的文献求助10
9秒前
大菠萝发布了新的文献求助10
9秒前
科研通AI2S应助wenxianqiuzhu采纳,获得10
9秒前
要减肥完成签到,获得积分20
9秒前
9秒前
geo_xl完成签到 ,获得积分10
10秒前
11秒前
11秒前
我是老大应助xxcub采纳,获得10
11秒前
11秒前
zheyin发布了新的文献求助10
11秒前
南北发布了新的文献求助10
11秒前
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7350366
求助须知:如何正确求助?哪些是违规求助? 8962037
关于积分的说明 19036239
捐赠科研通 7000014
什么是DOI,文献DOI怎么找? 3220904
关于科研通互助平台的介绍 2385646
邀请新用户注册赠送积分活动 2201316