## 4 Results
### HMSAM Effects  
Table 3 details the descriptive statistics for the pre- and post-intervention measures of the eight dimensions of the HMSAM model, broken down by condition. The constructs considered were usefulness, enjoyment, ease of use, intention to use, control, focused immersion, temporal dissociation, and curiosity. A [PERSON]'s alpha of 0.94 for the pre-IMI and 0.93 for the post-IMI perception tests was obtained. On post-perception values, homogeneity of variances between groups was assessed by the [PERSON]'s test for each of the eight constructs: Utility (F = 2.69, \(p=0.11\)), Enjoyment (F = 2.84, \(p=0.70\)), Ease of Use (F = 0.71, \(p=0.40\)), BIU (F = 1.60, \(p=0.21\)), Control (F = 0.96, \(p=0.33\)), FI (F = 0.82, \(p=0.37\)), TD (F = 2.25, \(p=0.14\)), and Curiosity (F = 0.02, \(p=0.90\)). On pre-post-perception values, the [PERSON]'s test showed equality of variances on Utility (F = 1.84, \(p=0.18\)), Enjoyment (F = 0.24, \(p=0.63\)), Ease of Use (F = 1.34, \(p=0.25\)), BIU (F = 0.10, \(p=0.75\)), Control (F = 0.74, \(p=0.39\)), FI (F = 1.54, \(p=0.22\)), TD (F = 3.57, \(p=0.06\)), and Curiosity (F = 0.14, \(p=0.71\)). A two-way ANOVA was conducted considering the post-intervention measures, with the condition (video/Microsoft Copilot) and the HMSAM dimensions as factors on the scores obtained. The result was F (1,69) = 3.820, \(p<0.055\), \(\eta^{2}=0.05\), indicating a marginally significant interaction. After performing pairwise comparisons with Bonferroni adjustment, it was found that only the construct of curiosity showed a significant difference in favor of the video condition, with F (1,69) = 4.630, \(p<0.035\), \(\eta^{2}=0.06\). Figure 7: Estimated marginal means for post-test among conditions (video vs. Microsoft Copilot). This was followed by the dimensions of usefulness (F (1,69) = 3.301, \(p\) < 0.074, \(\eta^{2}\) = 0.05), enjoyment (F (1,69) = 3.716, \(p\) < 0.058, \(\eta^{2}\) = 0.05), and intention to use (F (1,69) = 3.536, \(p\) < 0.064, \(\eta^{2}\) = 0.05), all showing differences in favor of the video condition, though not reaching conventional levels of significance. The remaining dimensions also showed differences favoring the video condition but were not statistically significant, as shown in Figure 8.  
An ANOVA was also conducted with the condition and HMSAM dimensions as factors, but this time on the score differences (post-test--pre-test), yielding F (1,69) = 2.912, \(p\) < 0.092, \(\eta^{2}\) = 0.04. Pairwise comparisons with Bonferroni adjustment revealed significant differences for the dimensions of usefulness (F (1,69) = 5.135, \(p\) < 0.027, \(\eta^{2}\) = 0.07), intention to use (F (1,69) = 5.867, \(p\) < 0.018, \(\eta^{2}\) = 0.08), and curiosity (F (1,69) = 4.437, \(p\) < 0.039, \(\eta^{2}\) = 0.06), all favoring the video condition over the Microsoft Copilot condition (see Figure 9). It is important to note that, although eight separate ANOVA tests were conducted across the HMSAM constructs, no correction for family-wise error rate (FWER), such as Bonferroni or False Discovery Rate (FDR), was applied. This constitutes a limitation of the current analysis. However, the observed effects were consistent in direction and