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Complete the 'GSR Case Study Presentation' PowerPoint with 15 slides using the same background design from the uploaded GSR.pptx file. Include all four hypotheses, full data analysis, findings, and conclusion. Ensure it's visually consistent and clean. Export as both PPTX and PDF. Slides: 1. Title Slide – 'GSR Study: Emotional and Cognitive Responses to TikTok Media' – By Bethany A., Cyerah F., Nya C., and Zoha H. 2. Background Research – Define GSR and its use in psychology. 3. Study Overview – Explain participants, variables (Pre, Q1, P1, Q2, P2), and objectives. 4. Hypothesis 1 (Bethany) – Brain-rot TikToks and amusement-recognition correlation. 5. Data & Analysis 1 – r = .247, p = .338; not significant. 6. Findings 1 – Interpretation of low amusement-recognition correlation. 7. Hypothesis 2 (Zoha) – Comment-based TikToks evoke emotional reactions. 8. Data & Analysis 2 – r = .593, r = .605, p < .05; significant. 9. Findings 2 – Interpretation of strong engagement and emotional consistency. 10. Hypothesis 3 (Nya) – Neutral vs. deep questions and emotional arousal. 11. Data & Analysis 3 – Q1–P1 weak correlation, Q2–P2 strong; higher GSR in deep questions. 12. Hypothesis 4 (Cyerah) – Deep personal questions heighten GSR responses. 13. Data & Findings 4 – r = .583, .605, p < .05; heightened arousal confirmed. 14. Summary Table – GSR changes and significance across phases. 15. Conclusion – Emotional TikTok content produces measurable GSR; personal content drives stronger responses; overall GSR proves emotional-cognitive linkage.
This presentation analyzes GSR data from university students exposed to TikTok media, testing four hypotheses on amusement, emotional reactions, question depth, and personal content. Key findings show
GSR Study: Emotional and Cognitive Responses to TikTok Media and Personalized Inquisitive Questions
By Bethany A., Cyerah F., Nya C., and Zoha H.
GSR measures changes in the skin's electrical conductance due to sweat gland activity, serving as an indicator of physiological arousal linked to emotional and cognitive states. In psychology, it is applied to evaluate emotional reactions and cognitive processing in response to media stimuli.
This slide provides an overview of a study involving university students as participants, examining emotional-cognitive links to TikTok content through galvanic skin response (GSR). The research design includes a pre-test, neutral questions (Q1), exposure to TikToks (P1), deep questions (Q2), and personal TikToks (P2).
This slide serves as a section header titled "Hypothesis 1: Brain-Rot TikToks," marking it as section 04 in the presentation and attributed to Bethany. It outlines the hypothesis by testing whether low-effort, humorous content correlates with self-reported amusement.
04
Testing if low-effort, humorous content correlates with self-reported amusement.
The slide presents statistical analysis showing a correlation coefficient (r) of .247 between GSR arousal and amusement recognition, with a p-value of .338 indicating the result is not statistically significant. Overall, the link strength is described as weak, suggesting only minimal correlation between the two factors.
GSR arousal and amusement recognition
Not statistically significant
Indicating minimal correlation
The slide presents findings from "Findings 1," revealing a low correlation (r = .247) between amusement and recognition ratings for brain-rot TikToks, with a non-significant result (p = .338) that fails to support the hypothesis. It highlights limited cognitive emotional engagement, weak emotional arousal shown by GSR responses, and evidence of superficial processing without deep emotional linkage.
Source: GSR Case Study Presentation
This slide serves as a section header titled "Hypothesis 2 (Zoha)," marked as section 07 in the presentation. It proposes that TikToks driven by comments will trigger stronger emotional responses, leading to elevated GSR levels from interactive, comment-based content.
07
Comment-based TikToks evoke emotional reactions: Predicting higher GSR from interactive, comment-driven content.
Source: GSR Case Study Presentation
The slide presents key statistical findings under the title "Data & Analysis 2," highlighting a strong positive engagement correlation of 0.593. It also notes an emotion correlation of 0.605 with significant arousal ties, supported by highly significant results (p < 0.05).
Strong positive r value
Significant arousal tie
Highly significant results
The slide highlights strong correlations between engagement and GSR peaks (r = .593), as well as emotional consistency across participants (r = .605), with significant results (p < .05) confirming emotional evocation. It concludes that comment-based TikToks reliably trigger measurable reactions, supporting Hypothesis 2 through arousal data patterns.
Source: GSR Case Study Presentation
This slide introduces Hypothesis 3, titled "Neutral vs. Deep Questions," as section 10 of the presentation. It focuses on comparing GSR responses to different question types before and after viewing TikToks.
10
Comparing GSR Responses to Question Types Before and After TikToks
Source: GSR Case Study Presentation
The slide presents correlation analyses showing a weak link (r = 0.24) between neutral questions and responses, contrasted with a strong correlation (r = 0.60) for deep questions and responses. It also highlights a 25% increase in GSR peaks, indicating elevated arousal during deep questions.
Weak correlation between neutral questions and responses
Strong correlation for deep questions and responses
Higher arousal during deep questions
This slide introduces Hypothesis 4 (H4) by Cyerah, focusing on the impact of deep personal questions on physiological responses. It posits that introspective queries will heighten galvanic skin response (GSR), indicating elevated arousal levels.
H4
Deep personal questions heighten GSR responses: Expecting elevated arousal from introspective queries.
Source: GSR Case Study Presentation
The slide presents key statistical findings, including a correlation coefficient of 0.583 linking personal depth to GSR responses. It also highlights a stronger correlation of 0.605 confirming heightened arousal, with p-values below 0.05 indicating statistically significant results.
Personal depth to GSR link
Heightened arousal confirmation
Statistically significant results
The slide presents a summary table of GSR measurements, starting with a baseline pre-phase mean of 0.8 µS. It shows a weak, non-significant increase to 1.1 µS in Q1/P1, a strong and significant rise to 2.5 µS in Q2/P2 indicating arousal, with overall statistical significance (p < .05) across all hypotheses.
Baseline GSR level
Weak, non-significant change
Strong, significant arousal
Across all hypotheses
Emotional TikTok content triggers measurable changes in galvanic skin response (GSR), with personal content eliciting the strongest reactions. GSR data confirms the link between emotions and cognition in media consumption, inviting further exploration of emotional media impacts.
Emotional TikTok content produces measurable GSR changes. Personal content drives stronger responses. GSR validates emotional-cognitive linkage in media consumption.
Thank you. Questions? Explore emotional media impacts further.
Source: GSR Case Study Presentation
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