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.
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页码：458 / 486
页数：29
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