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Avatar diversity perception scale (ADPS): a new multidimensional measure for perceived human avatar diversity
Xiangting Bernice Lin1, Chen Lou1, Moon-Ho Ringo Ho1
1Nanyang Technological University, Singapore, Singapore.
This study developed a new scale to measure how people perceive avatar diversity, identifying three key dimensions: heterogeneity, diversity concerns, and context-dependent diversity. This research provides a foundation for understanding avatar representation and its impact.
Area of Science:
- Digital Human Representation
- Human-Computer Interaction
- Social Psychology
Background:
- Avatars are increasingly used as digital representations of human diversity.
- Perception of avatar diversity faces conceptual challenges.
- There is a need for a standardized measure of perceived avatar diversity.
Purpose of the Study:
- To develop and validate a measure of perceived avatar diversity.
- To establish the dimensional structure of perceived avatar diversity.
- To lay the groundwork for future research on avatar diversity antecedents and mechanisms.
Main Methods:
- Study 1 involved preliminary qualitative interviews and a survey to establish dimensions.
- Study 2 utilized confirmatory factor analysis for initial validation.
- A 23-item, three-dimensional structure was supported after analyses and model adjustments.
Main Results:
- The developed scale consists of 23 items across three dimensions.
- The dimensions identified are perceived heterogeneity, diversity concerns, and context-dependent diversity.
- The findings support a robust three-dimensional structure for perceived avatar diversity.
Conclusions:
- The validated scale provides a foundation for future research on perceived avatar diversity.
- Findings offer practical guidance for industry practitioners in creating effective avatar diversity representations.
- The research contributes to understanding the complexities of digital representation and diversity perception.
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