Voice-based debate with an AI adversary is associated with increased divergent ideation
For researchers and practitioners concerned about AI homogenizing human cognition, this work clarifies that the medium of interaction (voice vs. text) significantly influences cognitive outcomes, challenging assumptions that effects are solely due to AI.
The study shows that voice-based debates with an AI adversary lead to more divergent ideation compared to text-based interactions, with spoken exchanges being more verbose and repetitive but enabling broader conceptual exploration.
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 redundancy, however, is functional: voice users rely on recurrent phrasing to maintain coherence while exploring a wider range of ideas. In contrast, text-based interaction favors concision and refinement but constrains conceptual breadth. These findings suggest that perceived cognitive limitations attributed to generative AI partly reflect the medium through which it is accessed.