Predicting cinematic engagement and reflection EEG intercorrelation

Poster No:

2027 

Submission Type:

Abstract Submission 

Authors:

Daniel Levin1, Kathryn Sam1, Joe Jackowski1, Ralf Schmaelzle2

Institutions:

1Vanderbilt University, Nashville, TN, 2Michigan State University, East Lansing, MI

First Author:

Daniel Levin, PhD  
Vanderbilt University
Nashville, TN

Co-Author(s):

Kathryn Sam  
Vanderbilt University
Nashville, TN
Joe Jackowski  
Vanderbilt University
Nashville, TN
Ralf Schmaelzle  
Michigan State University
East Lansing, MI

Introduction:

On-line engagement is crucial for the impact of fiction narratives such as feature films, but for real-world impact, the work's reflective afterlife is also important. This afterlife includes individuals' continued thoughts about the work in the weeks after they have experienced it (Kivy, 1997). Under some conditions, engagement with a film may lead to richer reflections (Plantinga, 2018), but previous research has not extensively assessed how measures of on-line engagement may predict reflection. We therefore assessed whether intersubject correlations based on viewer EEG recordings (ISCs; Dmochowski et al., 2012) could predict both engagement and subsequent reflection. ISCs measure the extent to which viewers' brains respond similarly to the same film, and they have been used to assess viewer engagement and memory for short films, but this research has rarely assessed links with reflection, especially for full length feature films. In this experiment we recorded EEG while viewing the The Truman Show, and we tested whether individual-to-group ISC correlations could predict narrative engagement and subsequent reflection. We also assessed the nature of reflection by analyzing the thoughts that viewers had about the movie, and the cues that led them to think about it.

Methods:

27 adults watched The Truman Show while their EEG was recorded using a 64-channel system. They then completed the Narrative Engagement Scale (Busselle & Bilandzic, 2009), and received follow-up surveys every two days for two weeks. At each time point, participants rated how much they thought about the film that day on a scale from 0 (not at all) to 100 (very often). They also described the triggers for, and content of, their reflections.

ISCs were calculated using correlated components analysis (Dmochowski et al., 2012). The top four components were selected for further analysis. Pearson's correlations were computed between component ISC scores and (a) average reflection across two weeks and (b) narrative engagement scores. A thematic analysis was performed on reflection triggers and content.

Results:

Watching the film evoked robust ISCs. The top four components, which resemble those seen in prior work with film stimuli (fig 1). Individual ISC scores correlated with the overall score on the Narrative Engagement Scale for components two (r = .36, p = .062) and three (r = .43, p = .025). These correlations were significant for the Narrative Understanding subscale (component two, r=.46, p=.02; component 3, r=.45, p=.02), but not for the Attentional Focus, Narrative Presence, or Emotional Engagement subscales. No significant relationships were observed between ISC scores and post-viewing reflection.

Only 5 of 27 participants reported no reflection. However, reflection was not, overall, frequent, ranging from a mean rating of 19 in the days immediately after viewing to a mean rating of 3.5 in the next to last report. Factors inducing reflection included experiences that reminded participants of the movie, social interactions about relevant topics, and cues by media reports that reminded participants about the movie. Reflection content included reflections on key movie themes such as the nature of reality, and specific contents and events in the movie, characters feelings and relationships.

Conclusions:

These data suggest that EEG predictors of on-line processing are likely more robust than predictions of subsequent reflection, but they also demonstrate that this reflection does occur to a measurable degree, and our thematic analysis suggests potentially interesting hypotheses for future research. In particular, it may be useful to assess how ISC-Reflection link may be assessed with analyses that focus on more cognitive factors related specifically to narrative understanding, and possibly reflections that reflect this form of understanding.

Emotion, Motivation and Social Neuroscience:

Social Cognition 2

Learning and Memory:

Learning and Memory Other

Perception, Attention and Motor Behavior:

Perception and Attention Other 1

Keywords:

Cognition
Electroencephaolography (EEG)
Perception
Vision
Other - Film

1|2Indicates the priority used for review
Supporting Image: Fig1.jpg
 

Abstract Information

By submitting your proposal, you grant permission for the Organization for Human Brain Mapping (OHBM) to distribute your work in any format, including video, audio print and electronic text through OHBM OnDemand, social media channels, the OHBM website, or other electronic publications and media.

I accept

The Open Science Special Interest Group (OSSIG) is introducing a reproducibility challenge for OHBM 2025. This new initiative aims to enhance the reproducibility of scientific results and foster collaborations between labs. Teams will consist of a “source” party and a “reproducing” party, and will be evaluated on the success of their replication, the openness of the source work, and additional deliverables. Click here for more information. Propose your OHBM abstract(s) as source work for future OHBM meetings by selecting one of the following options:

I do not want to participate in the reproducibility challenge.

Please indicate below if your study was a "resting state" or "task-activation” study.

Task-activation

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Healthy subjects

Was this research conducted in the United States?

Yes

Are you Internal Review Board (IRB) certified? Please note: Failure to have IRB, if applicable will lead to automatic rejection of abstract.

Yes, I have IRB or AUCC approval

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

Yes

Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Not applicable

Please indicate which methods were used in your research:

EEG/ERP

Provide references using APA citation style.

Busselle, R., & Bilandzic, H. (2009). Measuring Narrative Engagement. Media Psychology, 12(4), 321–347. https://doi.org/10.1080/15213260903287259

Dmochowski, J. P., Sajda, P., Dias, J., & Parra, L. C. (2012). Correlated Components of Ongoing EEG Point to Emotionally Laden Attention – A Possible Marker of Engagement? Frontiers in Human Neuroscience, 6. https://doi.org/10.3389/fnhum.2012.00112

Kivy, P. (1997). Philosophies of arts: An essay in differences. Cambridge University Press.

Plantinga, C. (2018). Screen stories: Emotion and the ethics of engagement. Oxford University Press. https://doi.org/10.1093/oso/9780190867133.001.0001

UNESCO Institute of Statistics and World Bank Waiver Form

I attest that I currently live, work, or study in a country on the UNESCO Institute of Statistics and World Bank List of Low and Middle Income Countries list provided.

No