Turn-taking with an AI partner shows slower responses, reduced learner floor share, and greater within-turn fluency¶

Claim · All claims
Evidence · 1 study · causal r2 · q3 · i3 large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i3 Participants took roughly twice as long to begin speaking after the AI (d=0.90), held the floor for a smaller share of session time (d=−1.14), and paused less within their own turns (d=−0.53) than with a human partner. → Russell Scheinberg 2026

Evidence¶

Russell Scheinberg 2026¶

Russell Scheinberg, Ameeta Agrawal, Tetyana Sydorenko, Kalab Kahsay, Nina Vyatkina, Griet Boone. (2026). What Changes When the Interlocutor Is an AI? Interactional Fluency and Linguistic Uptake in L2 Spoken Dialogue. https://arxiv.org/abs/2606.22225 doi:10.48550/arxiv.2606.22225

q3 · i3 · causal · r2

Turn-taking analysis of sessions with at least 8 participant turns from the same within-participant study. Response latency (d=0.90), floor ratio (M=0.37 vs 0.48, d=−1.14, "representing one of the largest effects observed in the dataset"), and within-turn pause ratio (d=−0.53) all differed significantly (p<.001).

"Participants took roughly twice as long to begin speaking after the AI (M= 0.61 s) as after a human partner (M= 0.32 s;d= 0.90,p < .001)"

Discussion¶

Related Claims¶

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