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Update the 'GSR Case Study Presentation' on Karaf.ai to include an 'Overall Data Analysis' section before the conclusion slide. Include the following content: Slide: Overall Data Analysis Title: Overall GSR Data Analysis Content: - Gender: All 17 participants were female. Gender-based variability could not be measured. All gender correlations were labeled 'a' (not computable). This represents consistent female emotional response patterns. - Descriptive Statistics: | Variable | Mean | Std. Deviation | N | |-----------|------|----------------|---| | Q1 uS | 38.74 | 17.03 | 17 | | P1 uS | 41.89 | 17.25 | 17 | | Q2 uS | 41.89 | 10.67 | 17 | | P2 uS | 46.04 | 12.25 | 17 | Interpretation: There’s a general increase from Q1 to P2, showing rising GSR readings as participants progressed through the experiment. Emotional arousal heightened during deeper, more personal phases. - Correlation Summary: | Correlation Pair | r | p | Interpretation | |------------------|----|----|----------------| | Q1–P1 | .247 | .338 | Weak, not significant – early amusement did not yield strong recognition. | | Q2–P2 | .593 | .012 | Strong, significant – emotional engagement increased with comment-based stimuli. | | P1–P2 | .583 | .014 | Strong, significant – consistent emotional activation between phases. | | Q2–P2 | .605 | .010 | Very strong, significant – sustained emotional response after exposure. | Overall Meaning: - Clear upward trend in GSR activity from early to later phases. - Emotional intensity, relevance, and personal engagement drive higher physiological arousal. - TikTok content that triggers deeper reflection results in stronger physiological engagement, measurable via GSR. Ensure this slide is placed before the Conclusion, with matching background and layout as other slides. Export as both PPTX and PDF.
This presentation analyzes a GSR case study with 17 female participants exposed to TikTok content. It covers study overview, descriptive stats showing rising arousal (Q1 uS mean 38.74 to P2 46.04), ke
The slide features the title "GSR Case Study Presentation," which introduces a case study focused on galvanic skin response analysis. Its subtitle highlights the exploration of emotional responses elicited by TikTok content.
Exploring Emotional Responses to TikTok Content
Source: Karaf.ai
This study involved 17 female participants exposed to TikTok content, with methodology centered on measuring galvanic skin response (GSR) to track emotional arousal through skin conductance changes during stimuli. The research progressed from question-based to personal comment phases, focusing on physiological responses to social media engagement.
The slide analyzes overall GSR data from a study involving 17 female participants, noting a peak mean GSR of 46.04 during the P2 phase. It highlights a 7.3 increase in GSR from Q1 to P2 and the strongest correlation of 0.605 between Q2 and P2.
All participants female
Highest in P2 phase
Q2-P2 very strong
From Q1 to P2
The conclusion slide highlights key takeaways from the study, including a clear upward trend in GSR activity from early to later phases, with emotional intensity, relevance, and personal engagement driving higher physiological arousal, and TikTok content that triggers deeper reflection yielding stronger GSR responses. It emphasizes the implications that GSR effectively measures emotional responses to digital content, underscoring the value of personalized, reflective stimuli for improving user interaction.
Key Takeaways:
Implications: GSR effectively measures emotional responses in digital content, highlighting the value of personalized, reflective stimuli for enhanced user interaction.
Source: GSR Case Study Presentation
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