five

Raw questionnaire data

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DataCite Commons2025-05-01 更新2024-07-29 收录
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https://figshare.com/articles/dataset/Raw_questionnaire_data/12221711/1
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This dataset contains the raw questionnaire data collected from the virtual reality experiment.<br> <br> Each row contains one participant's answers to all questionnaire items for one environment. Given that each participant experienced nine environments, the file contains 9 rows per participant. Environments are represented by a number (1-14), see explanation below. For questions included in the questionnaire, please see the file "Environment questionnaire."<br> <br> <strong>Environments</strong><br> Virtual environments in the experiment varied along 4 dimensions (location, building height, facade quality and number of people present). The following list explains the features of each environment.<br> <br> 1. S-H0-F0-P0<br> 2. S-H2-F0-P0<br> 3. S-H0-F1-P0<br> 4. S-H0-F0-P1<br> 5. S-H0-F1-P1<br> 6. S-H1-F1-P1<br> 7. S-H2-F1-P1<br> 8. B-H0-F0-P0<br> 9. B-H2-F0-P0<br> 10. B-H0-F1-P0<br> 11. B-H0-F0-P1<br> 12. B-H0-F1-P1<br> 13. B-H1-F1-P1<br> 14. B-H2-F1-P1<br> <br> B and S refer to the locations Bedok and Simei respectively.<br> <br> H refers to building height and has three levels:<br> 0 - uniformly tall<br> 1 - tall at the back, low at the front<br> 2 - uniformly low<br> <br> F refers to facade quality and has two levels:<br> 0 - low quality<br> 1- high quality<br> <br> P refers to number of people present and has two levels<br> 0 - few<br> 1- many<br> <br> <strong>Environments experienced by each group</strong><br> Group A (participants 1-25, 51-52): 1, 2, 6, 7, 8, 10, 11, 12, 14<br> Group B (participants 26-50): 1, 3, 4, 5, 7, 8, 9, 13, 14<br> <strong><br> </strong> <strong>Environment quality<br> </strong> The column "Environment quality" refers to hypothesised environment quality. According to our hypothesis, environments with low buildings, high-quality facades and many people present would be the best environments, with each of these features being independently positive. Thus environment quality ranges from 0-3, with a score of 0 being achieved when all these features are at their "worst" (tall buildings, low-quality facades, and few people present), and a score of 1 being achieved when all features have their best possible value.<br> <br> Note that building height has 3 possible values. In this case, tall buildings gain a score of 0, while low buildings gain a score of 1. Buildings that are tall at the back and low at the front gain a score of 0.5. Facade quality and presence of people both have possible values 0 and 1. Thus possible environment scores are 0, 0.5, 1, 1.5, 2, 2.5 and 3.<br> <br> <br> <strong>Missing data</strong> Some participants did not complete the questionnaire fully, and some technical errors also happened. For these reasons, there is some missing data.<br> <br> <br> <br>
提供机构:
figshare
创建时间:
2022-04-24
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