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Striking the Right Pitch: The Inverted U-Shaped Effect of AI Anchor Pitch Variability on Consumer Engagement
- Truvace record
- TRV-2026-2664raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Observational study
- Sources
- 1 sourcePeer-reviewed
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As artificial intelligence and digital human technologies become increasingly integrated into livestream commerce, AI anchors are becoming important marketing agents. Yet prior research has focused primarily on their visual characteristics, leaving dynamic vocal cues largely unexplored. Drawing on social response theory and perceived authenticity research, this study examines the nonlinear association between AI anchor pitch variability and consumer engagement, together with a proposed psychological pathway and…
The gain
In 4,322 segments from 330 Douyin AI-anchored livestreams, moderate pitch variability went with the most live comment engagement, and a preregistered experiment found it raised perceived authenticity and engagement intentions versus the extremes.
What this doesn’t fix
The appearance-realism moderation result was conditional and specification-sensitive, and the authors say stimulus-level generalization and causal mediation require further replication.
Sources
1 on file- Journal of Theoretical and Applied Electronic Commerce Researchdoi:10.3390/jtaer21080273
Cite this record
v1Truvace Impact Record TRV-2026-2664, v1: “Striking the Right Pitch: The Inverted U-Shaped Effect of AI Anchor Pitch Variability on Consumer Engagement.” Truvace, 2026-11-12. /record/TRV-2026-2664 (accessed on the day you copy it). sha256 cedbdd8cabfb3d42…
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