启发式
计算机科学
经验法则
人机交互
接口(物质)
身份(音乐)
启发式评价
认知
人工智能
拇指
信用卡
可信赖性
机器学习
计算机安全
万维网
心理学
程序设计语言
付款
最大气泡压力法
气泡
神经科学
物理
可用性
并行计算
解剖
医学
声学
作者
S. Shyam Sundar,Jinyoung Kim
标识
DOI:10.1145/3290605.3300768
摘要
In this day and age of identity theft, are we likely to trust machines more than humans for handling our personal information? We answer this question by invoking the concept of "machine heuristic," which is a rule of thumb that machines are more secure and trustworthy than humans. In an experiment (N = 160) that involved making airline reservations, users were more likely to reveal their credit card information to a machine agent than a human agent. We demonstrate that cues on the interface trigger the machine heuristic by showing that those with higher cognitive accessibility of the heuristic (i.e., stronger prior belief in the rule of thumb) were more likely than those with lower accessibility to disclose to a machine, but they did not differ in their disclosure to a human. These findings have implications for design of interface cues conveying machine vs. human sources of our online interactions.
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