The Waving Dating App Lets Users Upload Voice Memos Instead of Selfies
Ellen Smith — March 21, 2018 — Lifestyle
References: itunes.apple & psfk
While convenient, dating apps are often criticized for enabling individuals to focus on the physical attributes of a potential mate, rather than their personality, so the waving dating app has introduced a feature that encourages users to upload voice recordings, instead of photos.
The app has adopted a similar model to Tinder as users can swipe right to show interest, or left to pass. The app differs from other platforms as instead of swiping through selfies, users can listen to the voice recordings, where matches can explain a little bit about themselves. This deviation from the image-based dating app model hopes to foster a deeper sense of connection between users.
Image Credit: Waving dating app
The app has adopted a similar model to Tinder as users can swipe right to show interest, or left to pass. The app differs from other platforms as instead of swiping through selfies, users can listen to the voice recordings, where matches can explain a little bit about themselves. This deviation from the image-based dating app model hopes to foster a deeper sense of connection between users.
Image Credit: Waving dating app
Trend Themes
1. Voice-based Dating - There is an opportunity to provide voice-based dating experiences that prioritize personality over physical appearance.
2. Personality-focused Apps - Developers can create dating apps that focus on aspects of personality, rather than superficial features.
3. Audio-first Interfaces - Voice-based dating apps can spark the creation of audio-first interfaces that prioritize sound over visuals.
Industry Implications
1. Social Networking - Social networking companies can integrate voice-based features to encourage deeper relationships among users.
2. Online Dating - Dating app and website developers can explore voice-based features to attract users looking for deeper connections.
3. Artificial Intelligence - AI companies can develop algorithms to match users based on voice recordings and personality traits.
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