This study is currently not recruiting participants.

The Real Ideal

Study on How Video Games Affect Body Image

Not Recruiting
100 years or below
All
Phase N/A

Brief description of study.

The purpose of this study is to investigate how differing levels of video game realism (realistic vs. unrealistic) and character idealization (idealized: attractive with physically attainable body shapes vs. hyper-idealized: attractive with physically unattainable body shapes) influences peoples? body dissatisfaction.

Detailed description of study

The purpose of this study is to investigate how differing levels of video game realism (realistic vs. unrealistic) and character idealization (idealized: attractive with physically attainable body shapes vs. hyper-idealized: attractive with physically unattainable body shapes) influences peoples? body dissatisfaction.

Eligibility of study

You may be eligible for this study if you meet the following criteria:

  • Conditions: healthy
  • Age: 100 years or below
  • Gender: All

This study investigates how different levels of realism in video games, such as realistic versus unrealistic settings, and the idealization of characters, affect people's dissatisfaction with their bodies. Realism refers to how life-like the video game environment appears, while idealization describes the attractiveness and body shapes of characters, distinguishing between attainable and unattainable physical forms.

Participants will be exposed to video games with varying degrees of realism and character idealization. The study will measure their levels of body dissatisfaction after interacting with these games. Body dissatisfaction is a feeling of unhappiness with one's own body appearance.

  • Who can participate: Individuals aged 18-35 who regularly play video games and have no history of body image disorders.
  • Study details: Participants will play video games with different levels of realism and character idealization. Their feelings about their own bodies will be assessed after gameplay.
Updated on 19 Feb 2024. Study ID: 1201007790

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