https://www.mediafire.com/file/mvxzesv1hhczyp1/test+results.zip/file 1. Rationale (1 page) o Explain the importance of understanding audience engagement with media content Justify your choice of speci

https://www.mediafire.com/file/mvxzesv1hhczyp1/test+results.zip/file

1. Rationale (1 page)

o Explain the importance of understanding audience engagement with media content Justify your choice of specific media content (ASAP Rocky - Praise da lord Music Video) for testing 

Discuss how eye-tracking and facial expression analysis can provide valuable insights into audience behavior and emotional response 

2. Methods (2 pages)

o Eye-tracking and facial expression analysis in iMotions

§ Briefly describe how eye-tracking and facial expression analysis work in iMotions

§ Explain the key metrics to be used in your study, such as:§ Eye-tracking metrics (e.g., blinks)

§ Facial expression analysis metrics (e.g., anger, joy, surprise, engagement, etc.)

§ Discuss the importance and relevance of the chosen metrics for your media content being tested Study design and data collection procedures

§ Describe the media content under study

§ Specify sample size and participant demographics (e.g., gender, age, etc.)§ Explain the online data collection process using iMotions (e.g., study flow, duration of data collection) 

3. Findings (3-4 pages)

o Eye-tracking findings [remember to use visualizations to back up your findings]

§ Exported videos: Carefully review the exported aggregated videos with eye-movements and describe any meaningful findings coupled with facial expression data (if you tested websites/social media, you might not have aggregated videos. In this case, you need to review individual videos one by one and make meaningful observations across all videos).

§ Blinks: Report the number of blinks/blink rate in the exported excel sheet and draw meaningful conclusions about your media content.

 Facial expression analysis findings

§ Exported videos: Carefully review the exported aggregated videos with facial expression data and describe any meaningful findings coupled with eye-tracking data (if you tested websites/social media, you might not have aggregated videos. In this case, you need to review individual videos one by one and make meaningful observations across all videos).

§ Emotion metrics: Report the results (mean, SD) for each chosen facial expression metric in relation to the media content in the exported Excel sheet (e.g., frames, long expression)

4. Reflection and Recommendations (2 pages)

o Putting your biometric (eye-tracking and facial expression) results and survey results together

§ Provide possible explanations for the observed patterns or trends

§ Discuss any surprising or interesting findings discovered in the study

Recommendations for content producers

§ Based on the findings, offer recommendations to producers of similar media content

§ Suggest ways to improve content design to better engage audiences, considering factors such as:

§ Visual layout and composition

§ Emotional triggers and engagement

§ Attention-grabbing elements

Note: The individual project should be submitted as a single document (double spaced, 12-pointTimes New Roman), with each section clearly labeled and page limits adhered to. (MLA).