A conceptual framework paper reports, citing a meta-analysis (Roesler et al., 2021), that anthropomorphism benefits human-robot interaction with effects varying across task contexts and design implementations¶

Claim · All claims
Evidence · 1 study · theoretical r3 · q1
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q1 i? A conceptual framework paper states, citing Roesler et al. (2021), that meta-analytic evidence suggests anthropomorphism can meaningfully benefit human-robot interaction, with effects varying substantially across task contexts, application domains, and design implementations. → Phillips 2026

Evidence¶

Phillips 2026¶

Phillips, E. K., & de Visser, E. J. (2026). Humanlikeness as design, anthropomorphism as inference: a conceptual framework for human–robot interaction. Frontiers in Cognition. https://doi.org/10.3389/fcogn.2026.1786256

q1 · i? · theoretical · r3

A conceptual framework paper distinguishing humanlikeness (a design property) from anthropomorphism (a psychological attribution); it is not an empirical review and reports no data of its own. In passing it cites a meta-analysis (Roesler et al., 2021) as finding that anthropomorphism can benefit HRI with substantial moderator variation across contexts and designs. The paper prints no pooled effect size, so no magnitude is reported; the meta-analysis itself is the primary evidence for this claim.

"meta-analytic evidence suggests that anthropomorphism can meaningfully benefit human–robot interaction, and that these effects vary substantially across task contexts, application domains, and design implementations, highlighting the importance of moderators in this process (Roesler et al., 2021)."

Discussion¶

Learner Variables¶

• Domain Context — moderator: an instructional effect differs with it

Related Claims¶

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• Human embodiment in video: perceived social presence benefits learning ratings, but instructor-face inclusion shows no significant learning-performance difference, and learners prefer human over robot presenters with mixed recall — related
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