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Framing Perception: Exploring Camera Induced Objectification in Cinema

Parth Maradia, Ayushi Agarwal, Srija Bhupathiraju, Kavita Vemuri

TL;DR

The paper investigates how cinematic framing in Indian music videos biases viewer gaze toward sexualized body parts using eye-tracking data from 91 participants. It combines dynamic Areas of Interest, non-parametric analyses, and data-driven segmentation with ScanGraph visualizations to quantify gaze distribution and synchronization across sexualized and non-sexualized stimuli. Key findings show stronger fixation duration and visit counts on sexualized AOIs and higher gaze synchronization under the sexualized framing, especially in close-up shots. The work advances understanding of how camera techniques implicitly shape objectifying perceptions and highlights implications for media representation and cross-cultural media studies.

Abstract

This study investigates how cinematographic techniques influence viewer perception and contribute to the objectification of women, utilizing eye-tracking data from 91 participants. They watched a sexualized music video (SV) known for objectifying portrayals and a non-sexualized music video (TV). Using dynamic Areas of Interests (AOIs) (head, torso, and lower body), gaze metrics such as fixation duration, visit count, and scan paths were recorded to assess visual attention patterns. Participants were grouped according to their average fixations on sexualized AOIs. Statistical analyses revealed significant differences in gaze behavior between the videos and among the groups, with increased attention to sexualized AOIs in SV. Additionally, data-driven group differences in fixations identified specific segments with heightened objectification that are further analyzed using scan path visualization techniques. These findings provide strong empirical evidence of camera-driven gaze objectification, demonstrating how cinematic framing implicitly shapes objectifying gaze patterns, highlighting the critical need for mindful media representation.

Framing Perception: Exploring Camera Induced Objectification in Cinema

TL;DR

The paper investigates how cinematic framing in Indian music videos biases viewer gaze toward sexualized body parts using eye-tracking data from 91 participants. It combines dynamic Areas of Interest, non-parametric analyses, and data-driven segmentation with ScanGraph visualizations to quantify gaze distribution and synchronization across sexualized and non-sexualized stimuli. Key findings show stronger fixation duration and visit counts on sexualized AOIs and higher gaze synchronization under the sexualized framing, especially in close-up shots. The work advances understanding of how camera techniques implicitly shape objectifying perceptions and highlights implications for media representation and cross-cultural media studies.

Abstract

This study investigates how cinematographic techniques influence viewer perception and contribute to the objectification of women, utilizing eye-tracking data from 91 participants. They watched a sexualized music video (SV) known for objectifying portrayals and a non-sexualized music video (TV). Using dynamic Areas of Interests (AOIs) (head, torso, and lower body), gaze metrics such as fixation duration, visit count, and scan paths were recorded to assess visual attention patterns. Participants were grouped according to their average fixations on sexualized AOIs. Statistical analyses revealed significant differences in gaze behavior between the videos and among the groups, with increased attention to sexualized AOIs in SV. Additionally, data-driven group differences in fixations identified specific segments with heightened objectification that are further analyzed using scan path visualization techniques. These findings provide strong empirical evidence of camera-driven gaze objectification, demonstrating how cinematic framing implicitly shapes objectifying gaze patterns, highlighting the critical need for mindful media representation.

Paper Structure

This paper contains 22 sections, 4 figures, 1 table.

Table of Contents

  1. Introduction
  2. Scope
  3. Methodology
  4. Participants
  5. Apparatus
  6. Stimuli
  7. Music Videos:
  8. Images:
  9. Procedure
  10. Data Analysis
  11. Areas of Interest (AOIs) Definition:
  12. Gaze Metrics:
  13. Selection of Scenes and Segments from Videos:
  14. Results
  15. Attentional Distribution across AOIs for scenes
  16. ...and 7 more sections

Figures (4)

  • Figure 1: Experimental paradigm.
  • Figure 2: a) Flowchart of the two-stage analysis of gaze metrics. b) Sample frames from SV (left) and TV (right) with defined AOIs and heatmap overlays showing participants' aggregated gaze distribution.
  • Figure 3: Comparison of gaze patterns across AOIs (Head: blue, Torso: orange, Lower Body: green) over time between sexualized (SV) and non-sexualized (TV) videos for long-shots (LS) and close-ups (CU).
  • Figure 4: Gaze behavior across sexualized (SV) and traditional (TV) videos. (4a & 4b) Average Euclidean distance to group center over time for TV and SV. Lower values indicate greater gaze coherence within group. Red/grey vertical bars indicate significant differences/scene transitions, respectively. (4c & 4d) Scan path sequence charts for high, medium, and low objectifying groups for the most significant segments of SV and TV. Solid same-color blocks indicate similar gaze patterns.