Architectonic Design Supported by Visual Environmental Simulation—A Comparison of Displays and Formats
Abstract
:1. Introduction
2. Materials and Methods
2.1. Experimental Design
2.1.1. Experiment 1: Displays
- PC: Laptop with a 17.3 inch screen, 1920 × 1080 pixel resolution and navigation via a wireless joystick.
- HTC Vive Pro 2: Portable VR head-mounted display with 2448 × 2448 pixel stereoscopic screen per eye, 96° field of view, head position tracking using gyroscopes and accelerometers and navigation via a wireless joystick.
- PowerWall: Display system using a rear-projected 635 × 223 cm stereoscopic screen (using spectacles with shutters) with a resolution of 3137 × 1080 pixels, head position tracking using infrared cameras, virtual environment generation by a high-performance graphic computer and navigation via a wireless joystick.
- CAVE: Virtual reality system composed of four rear-projected 350 × 204 cm stereoscopic screens (front, two sides and floor), with a resolution of 1872 × 1080 pixels, head position tracking using infrared cameras, virtual environment generation by a set of networked computers (connected and synchronised with each other) and navigation via a wireless joystick.
2.1.2. Experiment 2: Formats
- Standard photograph/image: Photograph with a resolution of 3840 × 2160 pixels, taken with a GoPro Hero 7 Silver camera (GoPro, City: San Mateo, California (USA).), at a height of 165 cm to simulate eye level. Given the inherent limitation of this format in capturing an entire environment, the most representative point of view was selected [53].
- Spherical panoramic l resolution of 4096 × 2048 pixels, from photographs taken by seven GoPro Hero 7 Silver cameras attached to panoramic recording mounts (in the same positions and heights as used in standard images).
- Video: Video (with sound) with a resolution of 3840 × 2160 pixels at 25 frames per second, taken with a GoPro Hero 7 Silver camera. The same point of view and height were used as in standard images.
- Spherical panoramic video: 360° × 180° equirectangular video (with sound) with a total resolution of 4096 × 2048 pixels at 25 frames per second, from images taken by seven GoPro Hero 7 Silver cameras attached to panoramic recording mounts (in the same positions and heights as used in standard images).
2.2. Measurements
2.3. Participants
2.4. Procedure
- a.
- Descriptive analysis of the ratingsFirst, a descriptive analysis was carried out to detect trends in the results. The values for each variable were normalised to their z scores to simplify comparisons.
- b.
- Analysis of significant differences based on the subjects’ profiles.Although it was not the study’s main object, we tested for the existence of statistically significant differences in the responses based on the gender and age of the participants. The statistical analyses applied were based on the normality of the data for each variable, which were assessed using the Kolmogorov–Smirnov (K–S) test. Due to the non-normality of the data (K–S, p < 0.05), the comparison between both groups (gender: male vs female/age: 20–35 vs. 35–50) was made through a non-parametric Mann–Whitney U test (also referred to as the Wilcoxon rank sum test). The Mann–Whitney U test is a non-parametric method to detect whether two samples come from the same distribution, or to test whether the medians between comparison groups are different. It is based on the ordering of the data and the use of ranks to perform the contrast, with two statistics (the U Mann–Whitney and the W Wilcoxon) and a significance level. We will look at the significance level (p < 0.05) to identify the existence of significant differences.
- c.
- Analysis of significant differences between the evaluated stimuliAn analysis was undertaken to identify any statistically significant differences in the respondents’ responses based on the display (experiment 1) or format (experiment 2) visualised. The statistical analyses applied were based on the normality of the data, using the Kolmogorov–Smirnov (K–S) test. Due to the non-normality of the data (K–S, p < 0.05), the comparison between groups (displays: PC-HTC Vive Pro 2-PowerWall Screen–CAVE; formats: image–360° image–video–360° video) were made through a non-parametric Kruskal–Wallis test. The Kruskal–Wallis test compares whether different samples are equally distributed and therefore belong to the same distribution. It is an extension of the Mann–Whitney test for more than two groups. Where differences were found between groups, the samples were compared in pairs. Again, we will look at the significance level (p < 0.05) to identify the existence of significant differences.
- d.
- Relationship between variables and stimuliAn analysis was undertaken to identify any statistically significant correlations, using Spearman’s Rho correlation coefficient for non-parametric samples, firstly between the variables evaluated, and subsequently between the variables and the stimuli displayed.
3. Results
3.1. Experiment 1: Displays
3.1.1. Descriptive Analysis of the Ratings
3.1.2. Analysis of Significant Differences
- a.
- Based on the profile of the subject (gender and age)
- b.
- Based on the stimuli analysed (displays)
3.1.3. Analysis of Relationships between Variables
- a.
- Between the variables that measure the users’ responses
- b.
- Between the variables that measure the users’ responses and displays
3.2. Experiment 2: Formats
3.2.1. Descriptive Analysis of the Ratings
3.2.2. Analysis of Significant Differences
- a.
- Based on the profile of the subject (gender and age)
- b.
- Based on the stimuli analysed (formats)
3.2.3. Analysis of Relationships between Variables
- a.
- Between the variables that measure the users’ responses
- b.
- Between the variables that measure the users’ responses and formats
4. Discussion and Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Experiment 1: | Experiment 2: | |
---|---|---|
Display Comparison | Format Comparison | |
Stimuli | Indoor space (shop) | Outdoor space (square) |
Display | 1. PC (n = 20) | HTC Vive Pro 2 Head-Mounted Display |
3. HTC Vive Pro 2 (n = 20) | ||
4. PowerWall Screen (n = 20) | ||
5. CAVE (n = 20) | ||
Format | Virtual Environment | 1. Image (n = 20) |
2. 360° image (n = 20) | ||
3. Video (n = 20) | ||
4. 360° video (n = 20) | ||
Sample | 80 (20 per stimulus) | 80 (20 per stimulus) |
Dependent variables | 1. Credibility: abstraction, accuracy and realism | |
2. Spatial comprehension | ||
3. Sense of direction | ||
4. Help with design decisions | ||
Data analysis | 1. Analysis of means | |
2. Statistically significant differences between groups | ||
3. Statistically significant correlations between concepts and groups |
Gender | Age | ||||||||
---|---|---|---|---|---|---|---|---|---|
Male | Female | 20 to 35 | 36 to 50 | Total | |||||
Experiment 1 | 55 | 55% | 45 | 45% | 53 | 53% | 47 | 47% | 100 |
Experiment 2 | 47 | 59% | 33 | 41% | 42 | 53% | 38 | 48% | 80 |
| Based on users’ responses | Analysis of means Standard deviation |
| (a) Based on the profile of the subject (gender and age) | Mann–Whitney U |
(b) Based on the stimuli analysed (displays and formats) | Kruskal–Wallis | |
| (a) Analysis of relationships between the variables that measure the users’ responses | Spearman correlation |
(b) Analysis of relationships between the variables that measure the users’ responses and the stimuli (displays and formats) |
Differences by Age (20 to 35/35 to 50) | ||||||
---|---|---|---|---|---|---|
Abstraction | Accuracy | Realism | Comprehension | Orientation | Helps with Design Decisions | |
Mann–Whitney U | 1103.00 | 913.50 | 1030.50 | 1164.50 | 963.50 | 1147.00 |
Wilcoxon W | 2231.00 | 2344.50 | 2461.50 | 2595.50 | 2394.50 | 2578.00 |
Z | −1.00 | −2.34 | −1.52 | −0.62 | −2.09 | −0.69 |
Asymp. Sig. (2-tailed) | 0.316 | 0.059 | 0.128 | 0.537 | 0.067 | 0.488 |
Differences by gender (male/female) | ||||||
Abstraction | Accuracy | Realism | Comprehension | Orientation | Helps with Design Decisions | |
Mann–Whitney U | 1091.00 | 1185.00 | 1107.00 | 1203.50 | 1073.00 | 1198.00 |
Wilcoxon W | 2126.00 | 2725.00 | 2647.00 | 2743.50 | 2613.00 | 2233.00 |
Z | −1.03 | −0.37 | −0.93 | −0.26 | −1.22 | −0.28 |
Asymp. Sig. (2-tailed) | 0.301 | 0.710 | 0.354 | 0.795 | 0.222 | 0.780 |
Abstraction | Accuracy | Realism | Easy to Comprehend the Space | Easy to Orient Myself | Helps with Design Decisions | ||
---|---|---|---|---|---|---|---|
Abstraction | coef. | −0.395 ** | −0.087 | −0.019 | −0.089 | 0.193 | |
Sig. | 0.000 | 0.387 | 0.850 | 0.378 | 0.054 | ||
Accuracy | coef. | −0.395 ** | 0.191 | 0.203 * | 0.209 * | −0.053 | |
Sig. | 0.000 | 0.056 | 0.043 | 0.037 | 0.600 | ||
Realism | coef. | −0.087 | 0.191 | 0.351 ** | 0.287 ** | 0.586 ** | |
Sig. | 0.387 | 0.056 | 0.000 | 0.004 | 0.000 | ||
Easy to Understand the Space | coef. | −0.019 | 0.203 * | 0.351 ** | 0.452 ** | 0.382 ** | |
Sig. | 0.850 | 0.043 | 0.000 | 0.000 | 0.000 | ||
Easy to Orient Myself | coef. | −0.089 | 0.209 * | 0.287 ** | 0.452 ** | 0.352 ** | |
Sig. | 0.378 | 0.037 | 0.004 | 0.000 | 0.000 | ||
Helps with Design Decisions | coef. | 0.193 | −0.053 | 0.586 ** | 0.382 ** | 0.352 ** | |
Sig. | 0.054 | 0.600 | 0.000 | 0.000 | 0.000 |
Differences by Age (20 to 35/35 to 50) | ||||||
---|---|---|---|---|---|---|
Abstraction | Accuracy | Realism | Comprehension | Orientation | Helps with Design Decisions | |
Mann–Whitney U | 690.50 | 787.50 | 754.50 | 733.00 | 794.00 | 719.00 |
Wilcoxon W | 1431.50 | 1528.50 | 1657.50 | 1636.00 | 1535.00 | 1622.00 |
Z | −1.06 | −0.11 | −0.44 | −0.71 | −0.04 | −0.78 |
Asymp. Sig. (2-tailed) | 0.287 | 0.916 | 0.660 | 0.478 | 0.968 | 0.434 |
Differences by gender (male/female) | ||||||
Abstraction | Accuracy | Realism | Comprehension | Orientation | Helps with Design Decisions | |
Mann–Whitney U | 642.00 | 646.00 | 719.00 | 742.50 | 609.50 | 737.00 |
Wilcoxon W | 1203.00 | 1774.00 | 1280.00 | 1870.50 | 1737.50 | 1865.00 |
Z | −1.34 | −1.32 | −0.58 | −0.37 | −1.71 | −0.39 |
Asymp. Sig. (2-tailed) | 0.180 | 0.188 | 0.562 | 0.715 | 0.087 | 0.699 |
Abstraction | Accuracy | Realism | Easy to Comprehend the Space | Easy to Orient Myself | Helps with Design Decisions | ||
---|---|---|---|---|---|---|---|
Abstraction | coef. | −0.480 ** | −0.064 | 0.084 | −0.046 | −0.004 | |
Sig. | 0.000 | 0.573 | 0.461 | 0.683 | 0.975 | ||
Accuracy | coef. | −0.480 ** | 0.276 * | 0.231 * | 0.162 | 0.143 | |
Sig. | 0.000 | 0.013 | 0.039 | 0.150 | 0.206 | ||
Realism | coef. | −0.064 | 0.276 * | 0.518 ** | 0.411 ** | 0.349 ** | |
Sig. | 0.573 | 0.013 | 0.000 | 0.000 | 0.002 | ||
Easy to Understand the Space | coef. | 0.084 | 0.231 * | 0.518 ** | 0.359 ** | 0.248 * | |
Sig. | 0.461 | 0.039 | 0.000 | 0.001 | 0.026 | ||
Easy to Orient Myself | coef. | −0.046 | 0.162 | 0.411 ** | 0.359 ** | 0.548 ** | |
Sig. | 0.683 | 0.150 | 0.000 | 0.001 | 0.000 | ||
Helps with Design Decisions | coef. | −0.004 | 0.143 | 0.349 ** | 0.248 * | 0.548 ** | |
Sig. | 0.975 | 0.206 | 0.002 | 0.026 | 0.000 | ||
Video (vs. Image) | coef. | 0.277 * | −0.193 | 0.076 | 0.033 | −0.128 | 0.119 |
Sig. | 0.013 | 0.086 | 0.502 | 0.771 | 0.258 | 0.293 | |
360° (vs. Non-360°) | coef. | 0.125 | −0.069 | 0.176 | 0.234 * | 0.545 ** | 0.530 ** |
Sig. | 0.271 | 0.542 | 0.119 | 0.037 | 0.000 | 0.000 |
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Higuera-Trujillo, J.L.; López-Tarruella Maldonado, J.; Castilla, N.; Llinares, C. Architectonic Design Supported by Visual Environmental Simulation—A Comparison of Displays and Formats. Buildings 2024, 14, 216. https://doi.org/10.3390/buildings14010216
Higuera-Trujillo JL, López-Tarruella Maldonado J, Castilla N, Llinares C. Architectonic Design Supported by Visual Environmental Simulation—A Comparison of Displays and Formats. Buildings. 2024; 14(1):216. https://doi.org/10.3390/buildings14010216
Chicago/Turabian StyleHiguera-Trujillo, Juan Luis, Juan López-Tarruella Maldonado, Nuria Castilla, and Carmen Llinares. 2024. "Architectonic Design Supported by Visual Environmental Simulation—A Comparison of Displays and Formats" Buildings 14, no. 1: 216. https://doi.org/10.3390/buildings14010216
APA StyleHiguera-Trujillo, J. L., López-Tarruella Maldonado, J., Castilla, N., & Llinares, C. (2024). Architectonic Design Supported by Visual Environmental Simulation—A Comparison of Displays and Formats. Buildings, 14(1), 216. https://doi.org/10.3390/buildings14010216