心理学
眼动
价值(数学)
跟踪(教育)
信息传输
认知心理学
社会心理学
计算机科学
人工智能
教育学
计算机网络
机器学习
作者
Austin Y. Hubner,Jason C. Coronel,Jared M. Ott,Matthew Sweitzer,Samuel Lerner
标识
DOI:10.1177/00936502251339693
摘要
People often learn about science from various sources including scientists, journalists, and friends. Many studies assume people pay different levels of attention to expert and non-expert sources. This foundational assumption has largely been tested with selective exposure and reading time measures. In Study 1, we used eye-tracking to measure attention and found that individuals paid more attention to experts than non-experts. The results are promising as it suggests that people can discriminate between expert and non-expert information. But in Study 2, we showed that expertise cues do not survive person-to-person transmission via serial reproduction. Our studies highlight the need to use new methods to validate key theoretical assumptions about attention and the presence of expertise cues during social transmission.
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