Sportswear giant adidas has announced the launch of Ready Player Me, the "world's first" personality-based avatar creation tool powered by artificial intelligence technology. The new tool will be offered through the brand's own Ozworld experience -- a metaverse-like world where users can engage with the brand in interactive ways -- as well as on other metaverse platforms.
According to adidas, the Ozworld experience seeks to champion individuality over just physical appearance. As a result, the platform requires that its users answer of variety of personality-based questions, from which it will produce a custom avatar. Of course, the avatars will vary widely depending on each user's responses.
In addition, by taking a personality-first approach, 'Ready Player Me' aligns with the themes of Ozworld's first shoe collection, which focuses on self-expression and style experimentation.
Personality-Based Digital Avatars
adidas' 'Ready Player Me' is an Avatar Creation Tool for Ozworld
Trend Themes
1. Personality-based Avatars - The use of AI to create personalized digital avatars provides an opportunity for companies to offer more customized user experiences.
2. Metaverse Platforms - As metaverse platforms continue to gain popularity, businesses can leverage this trend to interact with users in new and immersive ways.
3. Individuality Empowerment - Championing individuality over physical appearance can help companies stand out and appeal to consumers who value self-expression.
Industry Implications
1. Sports Retail - Sportswear companies can utilize AI avatar creation tools to help customers find the perfect gear, and incorporate these avatars into in-store or online experiences.
2. Virtual Events - Event organizers can use avatar creation tools to create more personalized and engaging virtual events on metaverse platforms.
3. Corporate Training - Companies can utilize avatar creation tools for customized, immersive training experiences for their employees, potentially saving time and costs associated with traditional training methods.