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人工智能驱动的数字主播在在线零售中的应用:来自实验的实证洞察与设计策略

Artificial Intelligence-Powered Digital Streamers in Online Retail: Empirical Insights and Design Strategies from Experiments

Information Systems Research · 2025
被引 10 · 同刊同年前 10%
人大 AFT50UTD24ABS 4*

中文导读

通过实验发现,当前AI数字主播未能显著提升销售额,但加入行为真实性(如实时问答)可使销售额提高25%,达到与真人主播相当的效果,为零售商和平台设计者提供了优化AI主播的实用策略。

Abstract

As artificial intelligence (AI)-powered digital streamers gain popularity in live commerce, online retailers face critical questions about the actual business value of their operations. This study offers timely, evidence-based insights into the economic impact and optimal design of digital streamers. Although current designs do not significantly improve sales over no live streaming, incorporating behavioral realism—especially enhanced real-time question and answer (Q&A)—can boost sales by 25%, making digital streamers as effective as human hosts. Visual upgrades and human-like voices also help but to a lesser degree. Importantly, not all AI-driven enhancements deliver immediate returns, and imitating human scripts does not guarantee success. Retailers should focus on dynamic human-AI interaction features that drive engagement and trust, such as real-time Q&A and interactive giveaways. Designers are encouraged to integrate multiple realism features to maximize effectiveness while managing cost and scalability. These findings offer actionable guidance for retailers and platform designers seeking to leverage AI effectively and cost efficiently in live streaming commerce.

在线零售人工智能直播电商数字主播实证研究