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Michelangelo Effect in Virtual Sculpturing: Prospective for Motor Neurorehabilitation in the Metaverse Cover

Michelangelo Effect in Virtual Sculpturing: Prospective for Motor Neurorehabilitation in the Metaverse

Open Access
|Jan 2024

Figures & Tables

joc-7-1-345-g1.jpg
Figure 1

The three types of stimuli: sculptures (digital reproductions of artistic masterpieces, above), avatars (low resolution versions of the sculptures that were reduced to anthropomorphic figures, in the middle), and cubes (geometrical 3D figures formed by cubic voxels covering the same space of relevant sculptures and avatars, below).

Table 1

Mean ± standard deviation for NASA-TLX (score ranges between 0 and 10) and USEQ (0–5) for sculptures measured in this study and those measured for paintings in a previous study (Iosa et al., 2021).

SCALEDOMAINSMEAN ± SD SCULPTURESMEAN ± SD PAINTINGS
NASA-TLXMental Demand3.81 ± 2.360.98 ± 1.16
Physical Demand2.56 ± 1.542.20 ± 2.17
Temporal Demand2.19 ± 1.670.78 ± 0.11
Effort7.88 ± 1.931.11 ± 1.06
Performance2.94 ± 1.872.04 ± 1.99
Frustration level1.66 ± 1.542.04 ± 1.10
USEQExperienced enjoyment4.44 ± 0.674.80 ± 0.52
Successful use4.69 ± 0.644.85 ± 0.37
Ability to control4.69 ± 0.594.85 ± 0.37
Clarity of information4.66 ± 0.875.00 ± 0.00
Discomfort1.66 ± 1.001.65 ± 0.99
Perceived utility4.16 ± 1.224.70 ± 0.92
joc-7-1-345-g2.png
Figure 2

Mean and standard deviation of the kinematic parameters for sculptures (grey bars), avatars (black bars) and cubes (white bars).

Table 2

Results of Repeated measure Analysis of Variance on psychometric variables (F and relevant degrees of freedom, p-values in bold if <0.05, and Effect Size ES reported in terms of partial eta squared). Interactions type per model per repetitions were not reported because not statistically significant for all the variables.

PARAMETERFACTORFPES
Objective BeautyTypeF(2,58) = 122.56<0.0010.809
ModelF(2,58) = 16.41<0.0010.361
RepetitionF(1,29) = 0.800.3780.027
Type*ModelF(4,116) = 2.560.0420.081
Type*RepetitionF(2,58) = 1.600.2110.052
Repetition*ModelF(2,58) = 0.490.6140.017
Subjective BeautyTypeF(2,58) = 116.62<0.0010.801
ModelF(2,58) = 16.12<0.0010.357
RepetitionF(1,29) = 1.910.1770.062
Type*ModelF(4,116) = 5.96<0.0010.170
Type*RepetitionF(2,58) = 1.160.3200.039
Repetition*ModelF(2,58) = 1.650.2010.051
Perceived FatigueTypeF(2,58) = 2.150.1250.069
ModelF(2,58) = 7.61<0.0010.274
RepetitionF(1,29) = 0.360.5520.012
Type*ModelF(4,116) = 1.800.1330.058
Type*RepetitionF(2,58) = 3.040.0560.095
Repetition*ModelF(2,58) = 0.190.8270.007
Perceived SymmetryTypeF(2,58) = 3.170.0490.099
ModelF(2,58) = 7.490.0010.205
RepetitionF(1,29) = 10.280.0030.262
Type*ModelF(4,116) = 0.380.8200.013
Type*RepetitionF(2,58) = 2.380.1010.076
Repetition*ModelF(2,58) = 0.380.6860.013
Table 3

Results of Repeated measure Analysis of Variance on kinematic variables (F and relevant degrees of freedom, p-values in bold if <0.05, and Effect Size ES reported in terms of partial eta squared). Interactions type per model per repetitions were not reported because not statistically significant for all the variables.

Time to Complete the TaskTypeF(2,58) = 9.38<0.0010.319
ModelF(2,58) = 19.88<0.0010.499
RepetitionF(1,29) = 22.74<0.0010.532
Type*ModelF(4,116) = 2.080.0920.094
Type*RepetitionF(2,58) = 1.580.2190.073
Repetition*ModelF(2,58) = 0.190.8300.009
Length of TrajectoryTypeF(2,58) = 11.41<0.0010.282
ModelF(2,58) = 68.49<0.0010.703
RepetitionF(1,29) = 1.320.2600.044
Type*ModelF(4,116) = 4.370.0020.131
Type*RepetitionF(2,58) = 0.1460.8640.005
Repetition*ModelF(2,58) = 0.2820.7550.010
SymmetryTypeF(2,58) = 5.130.0090.150
ModelF(2,58) = 3.520.0360.108
RepetitionF(1,29) = 6.650.0150.186
Type*ModelF(4,116) = 0.970.4270.032
Type*RepetitionF(2,58) = 1.450.2430.048
Repetition*ModelF(2,58) = 0.620.5390.021
Normalized JerkTypeF(2,58) = 0.720.4890.024
ModelF(2,58) = 3.600.0340.110
RepetitionF(1,29) = 20.05<0.0010.409
Type*ModelF(4,116) = 1.780.1380.058
Type*RepetitionF(2,58) = 8.82<0.0010.233
Repetition*ModelF(2,58) = 0110.8960.004
Table 4

Results of correlations between perception and action related parameters (R: Pearson coefficient, *p < 0.05, **p < 0.01, ***p < 0.001).

TYPE OF STIMULUSVARIABLESOBJECTIVE BEAUTYTIME TO COMPLETE THE TASKNORMALIZED JERKSYMMETRY
SculpturesSubjective beautyR = 0.627***R = 0.050R = 0.100R = –0.091
Perceived fatigueR = –0.139R = 0.286***R = –0.310***R = –0.021
Perceived symmetryR = –0.071R = –0.164*R = 0.122R = 0.727***
AvatarsSubjective beautyR = 0.812***R = –0.185*R = 0.184*R = –0.066
Perceived fatigueR = –0.141R = 0.311***R = –0.327***R = –0.062
Perceived symmetryR = –0.151*R = –0.198**R = 0.122R = 0.699***
CubesSubjective beautyR = 0.907***R = –0.035R = –0.042R = –0.001
Perceived fatigueR = –0.274***R = 0.247**R = –0.262***R = –0.046
Perceived symmetryR = –0.060R = –0.130R = 0.001R = 0.526***
DOI: https://doi.org/10.5334/joc.345 | Journal eISSN: 2514-4820
Language: English
Submitted on: Jul 18, 2023
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Accepted on: Jan 11, 2024
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Published on: Jan 29, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Simona Pascucci, Giorgia Forte, Elena Angelini, Franco Marinozzi, Fabiano Bini, Gabriella Antonucci, Marco Iosa, Gaetano Tieri, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.