Seeing the Hivemind: A Consensus-Aware Interaction Technique for Mitigating AI Homogenization
People are increasingly using AI for creative tasks such as writing. While adoption continues to grow, this form of use risks undermining individual creativity locally and reducing the heterogeneity of creative output at scale. In response, we introduce the Semantic Repulsion Technique (SRT) and evaluate it both computationally and through a study with 16 participants who regularly use AI for creative tasks. Our computational assessment reveals that SRT increases semantic diversity by 85--167\% while reducing consensus phrases by 43--95\% across task modes. In the user study, SRT outputs received higher usefulness ($p = .019$, $W = .208$) and coherence ratings ( $p = .006$, $W = .260$); 6...
| Authors | Muhammad Haris Khan, Joel wester |
|---|---|
| Primary category | cs.HC |
| Published | 8 June 2026 |
| Last updated at source | 8 June 2026 |
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