On the Motivations to Seek Information From Artificial Intelligence Agents Versus Humans: A Risk Information Seeking and Processing Perspective

被引：1

作者：

Liao, Wang ^{[1
,4
]}

Weisman, William ^{[2
]}

Thakur, Arti ^{[3
]}

机构：

[1] Univ Washington, Commun, Seattle, WA USA

[2] Univ Calif Davis, Commun, Davis, CA USA

[3] Univ Calif Davis, Davis, CA USA

[4] Univ Washington, Dept Commun, 4109 E Stevens Way NE,Commun Bldg,Room 337, Seattle, WA 98195 USA

来源：

SCIENCE COMMUNICATION | 2024年 / 46卷 / 04期

关键词：

risk information seeking and processing; machine agency; artificial intelligence; AI agent; chatbot; ALGORITHM AVERSION; MODEL; COMPLEMENTARITY; POWER; EXPECTATIONS;

D O I：

10.1177/10755470241232993

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

This study investigates how anticipating an artificial intelligence agent versus human information source moderates the risk information seeking and processing model. It focuses on a behavioral proxy of seeking intention-how long a participant waited for an online consultant whose identity was manipulated. In two samples (N1 = 182 students and N2 = 800 mturkers), the source identity consistently moderated the model in two ways: First, informational subjective norms encouraged seeking from humans but discouraged seeking from AI agents. Second, information insufficiency drove favoritism toward humans-when perceived information-gathering capacity was high. When the capacity was low, AI agents were favored.

引用

页码：458 / 486

页数：29

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