Results of the summarizing process for the arXiv paper: 2208.02386v1

The use of Computer Graphics (CG) has enabled the creation of increasingly realistic animations, particularly in the representation of human models and behaviors through virtual humans. However, gender is a characteristic that is often stereotypically represented through movements, clothing, hair, and colors to ensure that virtual humans are understood by users as intended by designers. Therefore, it is essential to understand whether participants' perceptions change depending on how a virtual human is visually presented. In a previous study, two groups of people watched a video of a real 9-month-old baby reacting to four stimuli while sitting in front of a mirror. The participants were separated into two groups: one group was told the baby was female, and the other group was told the same baby was male. The study aimed to assess whether the baby's gender influenced participants' perception of emotional and semantic levels. To replicate this study using CG technology, researchers used a 3D model of a baby with animations for crawling, walking, and playing with a ball. Three stimulus objects were used for the virtual baby to interact with: a ball (positive reaction), jack-in-the-box (negative reaction), and colored unicorn (neutral reaction). Three videos were created for each object as stimuli. A questionnaire was then distributed to participants who watched these videos. Statistical analyses were conducted using Kruskal-Wallis tests with Bonferroni correction as post hoc tests, Mann-Whitney tests, and Chi-Square tests through Python libraries Statsmodels and SciPy. The results showed that people's emotional responses changed depending on the character gender attribute; in this case, only the difference in name affected their perception. The findings suggest that informing participants about the name of a virtual human can be enough to create gender perception that impacts their emotional response. Overall, this study highlights how CG technology can be used to investigate gender bias in relation to simulated babies and provides insight into how designers can guide modeling and animation of virtual humans to deliver the expected impact on the audience.

• Computer Graphics (CG) has enabled the creation of increasingly realistic animations, particularly in the representation of human models and behaviors through virtual humans.
• Gender is often stereotypically represented through movements, clothing, hair, and colors to ensure that virtual humans are understood by users as intended by designers.
• It is essential to understand whether participants' perceptions change depending on how a virtual human is visually presented.
• In a previous study, two groups of people watched a video of a real 9-month-old baby reacting to four stimuli while sitting in front of a mirror. The participants were separated into two groups: one group was told the baby was female, and the other group was told the same baby was male.
• To replicate this study using CG technology, researchers used a 3D model of a baby with animations for crawling, walking, and playing with a ball. Three stimulus objects were used for the virtual baby to interact with: a ball (positive reaction), jack-in-the-box (negative reaction), and colored unicorn (neutral reaction).
• A questionnaire was then distributed to participants who watched these videos.
• The results showed that people's emotional responses changed depending on the character gender attribute; in this case, only the difference in name affected their perception.
• The findings suggest that informing participants about the name of a virtual human can be enough to create gender perception that impacts their emotional response.
• This study highlights how CG technology can be used to investigate gender bias in relation to simulated babies and provides insight into how designers can guide modeling and animation of virtual humans to deliver the expected impact on the audience.

Exploring Gender Bias Through Computer Graphics Technology

In recent years, the use of computer graphics (CG) technology has enabled the creation of increasingly realistic animations and virtual humans. However, gender is a characteristic that is often stereotypically represented through movements, clothing, hair, and colors to ensure that virtual humans are understood by users as intended by designers. Therefore, it is essential to understand whether participants' perceptions change depending on how a virtual human is visually presented.

Previous Study

A previous study aimed to assess whether gender influences participants' perception of emotional and semantic levels when viewing videos of real babies reacting to stimuli. The study involved two groups of people who watched a video of a 9-month-old baby sitting in front of a mirror while reacting to four stimuli: a ball (positive reaction), jack-in-the-box (negative reaction), and colored unicorn (neutral reaction). One group was told the baby was female while the other group was told the same baby was male.

Replicating Study with CG Technology

To replicate this study using CG technology, researchers used a 3D model of a baby with animations for crawling, walking, and playing with a ball. Three stimulus objects were used for the virtual baby to interact with: a ball (positive reaction), jack-in-the-box (negative reaction), and colored unicorn (neutral reaction). Three videos were created for each object as stimuli. A questionnaire was then distributed to participants who watched these videos. Statistical analyses were conducted using Kruskal-Wallis tests with Bonferroni correction as post hoc tests, Mann-Whitney tests, and Chi Square tests through Python libraries Statsmodels and SciPy.

Findings

The results showed that people's emotional responses changed depending on the character gender attribute; in this case only the difference in name affected their perception. This suggests that informing participants about the name of a virtual human can be enough to create gender perception that impacts their emotional response. Overall, this study highlights how CG technology can be used to investigate gender bias in relation to simulated babies and provides insight into how designers can guide modeling and animation of virtual humans to deliver an expected impact on audiences’ emotions or reactions towards them based on their perceived genders alone without any visual cues such as clothing or hairstyles being present at all times during interactions between them or viewers watching them from afar via video recordings or live streams etcetera..

Implications

This research paper has important implications for both game developers looking into creating more realistic characters within their games as well as those working in fields such as marketing where they may need accurate representations of people from different backgrounds interacting with products they are trying promote etcetera.. It also serves as an example showing us just how powerful computer graphics technology can be when it comes down understanding complex social issues like gender bias which could help inform better decision making processes across various industries around world today!