Voice-based debate with an AI adversary is associated with increased divergent ideation
Concerns that interacting with generative AI homogenizes human cognition are largely based on evidence from text-based interactions, potentially conflating the effects of AI systems with those of written communication. This study examines whether these patterns depend on communication modality rather than on AI itself. Analyzing 957 open-ended debates between university students and a knowledgeable AI adversary, we show that modality corresponds to distinct structural patterns in discourse. Consistent with classic distinctions between orality and literacy, spoken interactions are significantly more verbose and exhibit greater repetition of words and phrases than text-based exchanges. This...
| Authors | Neelam Modi Jain, Dan J. Wang |
|---|---|
| Primary category | cs.HC |
| Published | 28 March 2026 |
| Last updated at source | 28 March 2026 |
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