A Study on the Factors Influencing Audience Choices of AI Anchors in the Era of Digital Intelligence

In recent years, AI anchors have experienced rapid development and widespread adoption. From the perspective of viewers, this study utilizes market survey methods to clarify the factors influencing audience choices of AI anchors. The research identifies interactivity, broadcast frequency, accuracy, usefulness, ease of use, social engagement, and emotional connection as the main factors affecting audiences’ selection of AI anchors. Based on these findings, the study proposes three strategic recommendations to support the healthy development of AI anchors: implementing precise content recommendation to meet personalized audience needs; strengthening core service infrastructure while differentiating platform-specific features; and fostering stronger emotional bonds with audiences.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1145/3745676.3745743
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study on the Factors Influencing Audience Choices of AI Anchors in the Era of Digital Intelligence

Yingyi Huang, Sili Wang, Tiantian Bao
Diverse Approaches in Healthcare and Education Studies
article

A Study on the Factors Influencing Audience Choices of AI Anchors in the Era of Digital Intelligence

Yingyi Huang, Sili Wang, Tiantian Bao
article en

Abstract

In recent years, AI anchors have experienced rapid development and widespread adoption. From the perspective of viewers, this study utilizes market survey methods to clarify the factors influencing audience choices of AI anchors. The research identifies interactivity, broadcast frequency, accuracy, usefulness, ease of use, social engagement, and emotional connection as the main factors affecting audiences’ selection of AI anchors. Based on these findings, the study proposes three strategic recommendations to support the healthy development of AI anchors: implementing precise content recommendation to meet personalized audience needs; strengthening core service infrastructure while differentiating platform-specific features; and fostering stronger emotional bonds with audiences.

Ningbo University of Technology (CN), Quanzhou Normal University (CN), Dalian University (CN)
Openalex Percentile: Top 71%
Diverse Approaches in Healthcare and Education Studies
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