Effects of Human-AI Voice Interaction in Sports Commentary on Perceived Credibility, Emotional Response, and Cognitive Recall

This study examines how commentary source (human vs. artificial intelligence [AI]), commentator gender, and accent shape perceived credibility, affective responses, and cognitive recall in sports broadcasting. A 2 (source) × 2 (commentator gender) × 2 (accent) between-subjects experiment (N = 867) showed that human-voiced commentary received higher ratings than AI-voiced commentary for credibility, audience perception, and positive affect, while eliciting lower negative affect. Male commentator voices received higher credibility and audience perception ratings across conditions, whereas accent effects were weak. Cognitive recall remained stable across commentator gender and accent conditions and differed minimally by source. These findings are interpreted through an integrated human–computer interaction framework combining the Computers Are Social Actors paradigm, social presence theory, and symbolic power, which helps explain the divergence between socially shaped evaluative judgments and comparatively stable recall. The findings support a context-sensitive approach that prioritizes human voices for emotionally intense commentary and AI voices for structured, information-oriented segments.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-09-18
DOI
https://doi.org/10.1080/10447318.2026.2732386
Primary Topic
Sports Analytics and Performance
Type
article
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article

Effects of Human-AI Voice Interaction in Sports Commentary on Perceived Credibility, Emotional Response, and Cognitive Recall

Paul M. Pedersen, Fangni Li
International Journal of Human-Computer Interaction
Sports Analytics and Performance
article

Effects of Human-AI Voice Interaction in Sports Commentary on Perceived Credibility, Emotional Response, and Cognitive Recall

Paul M. Pedersen, Fangni Li
article en

Abstract

This study examines how commentary source (human vs. artificial intelligence [AI]), commentator gender, and accent shape perceived credibility, affective responses, and cognitive recall in sports broadcasting. A 2 (source) × 2 (commentator gender) × 2 (accent) between-subjects experiment (N = 867) showed that human-voiced commentary received higher ratings than AI-voiced commentary for credibility, audience perception, and positive affect, while eliciting lower negative affect. Male commentator voices received higher credibility and audience perception ratings across conditions, whereas accent effects were weak. Cognitive recall remained stable across commentator gender and accent conditions and differed minimally by source. These findings are interpreted through an integrated human–computer interaction framework combining the Computers Are Social Actors paradigm, social presence theory, and symbolic power, which helps explain the divergence between socially shaped evaluative judgments and comparatively stable recall. The findings support a context-sensitive approach that prioritizes human voices for emotionally intense commentary and AI voices for structured, information-oriented segments.

International Journal of Human-Computer Interaction
Indiana University Bloomington (US), Communication University of China (CN)
Quality Education
Openalex Percentile: Top 5%
Sports Analytics and Performance
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Effects of Human-AI Voice Interaction in Sports Commentary on Perceived Credibility, Emotional Response, and Cognitive Recall — Paul M. Pedersen, Fangni Li · International Journal of Human-Computer Interaction (2026) | TGRS Research Map | TGRS