Data underlying the BSc thesis: Effect of Facial Realism on Presence in Collaborative Virtual Environments
收藏4TU.ResearchData2024-07-01 更新2026-04-23 收录
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资源简介:
<strong>questionnaire.csv</strong> contains raw, unprocessed presence questionnaire data. q1 through q17 columns contain 7 point Likert-type scale agreement responses to various questions concerning presence in virtual environments.<strong>data_processed.csv</strong> contains the processed questionnaire data, with added columns for presence scores (means by subscale, see paper), and updated person_ids to make them unique across dyads, not within dyads. Code used for data processing and analysis is available https://github.com/JoshCode/thesis-vr-presence-2024<strong>experiment_times.csv</strong> contains time data for the experiments, for every condition how long each dyad's interaction, described in the paper, was.<br>Please read the README.md file for column descriptions, data types and data ranges.
<strong>questionnaire.csv</strong> 包含原始未处理的空间存在感(presence)问卷数据。列q1至q17为针对虚拟环境中空间存在感相关问题的7级李克特式量表同意度作答结果。<strong>data_processed.csv</strong> 包含经处理后的问卷数据,新增了空间存在感得分列(按子量表计算均值,详见论文),同时更新了参与者ID(person_ids),使其在所有对偶组间保持唯一,而非仅在组内唯一。数据处理与分析所用代码可通过链接 https://github.com/JoshCode/thesis-vr-presence-2024 获取。<strong>experiment_times.csv</strong> 包含实验相关时间数据,记录了论文所述的每种实验条件下,每一组对偶参与者的交互时长。<br>请参阅README.md文件以了解各列的字段说明、数据类型及数值范围。
创建时间:
2024-07-01



