Representational similarity analysis shows identity judgments are organised around subjective impressions, orthogonal to diagnostic cue structure¶

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q3 i? Interactional cue structure aligned strongly with ground-truth identity (ρ = .455), but judgment structure showed negligible alignment with cues (ρ ≈ 0) and aligned instead with subjective impressions of humanness and trust (ρ = .247). → Lixiang Yan 2026

Evidence¶

Lixiang Yan 2026¶

Lixiang Yan, Yueqiao Jin, Xibin Han, Dragan Gasevic. (2026). Socially fluent AI decouples conversational signals from source identity in online interaction. https://arxiv.org/abs/2605.23426 doi:10.48550/arxiv.2605.23426

q3 · i? · causal · r2

RSA across 1,148 targets with complete data showed "interactional cue structure was strongly aligned with ground-truth identity" (ρ = .455, permutation p < .001), while judgment structure bore no relation to cues (ρ ≈ 0, p = .924) and aligned with humanness and trust ratings (ρ = .247).

"interactional cue structure was strongly aligned with ground-truth identity (Spearman 𝜌 = .455, 95% bootstrap CI [.453, .456], permutation 𝑝 < .001), indicating that AI and human teammates occupied systematically separable regions in cue space"

Discussion¶

Related Claims¶

• Participants fail to distinguish undisclosed AI teammates from human teammates above chance in synchronous text-based group interaction — a broader claim this one bears on
• Judgment-truth dissociation: the same cues that predict ground-truth identity are only weakly incorporated into explicit identity judgments — possibly the same claim (merge candidate)
• Participants remain socially sensitive to conversational stance even while categorical identity inference fails — related
• Impression narratives rely on weakly diagnostic suspicion heuristics such as response speed, fluency, and perceived scriptedness
• Dialogue-derived interactional cues robustly encode ground-truth identity, achieving near-ceiling AI identification under cross-validation — related
• Teachers often rely on informal impressions rather than systematic, theory-grounded diagnostic procedures when judging students' SRL — related