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Attitudes Formation by Small but Meaningful Personal Information

机译:通过少量但有意义的个人信息形成的态度

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Objective People often evaluate others using fragmentary but meaningful personal information in recent days through social media. It is not clear that whether this process is implicit or explicit and what kind of information is more important in such process.We examined the effects of several meaningful fragmentary information onattitude. Methods Thirty three KAIST students were provided four fragmentary information about four virtual people that are meaningful in evaluating people and frequently seen in real life situations, and were asked to imagine that person during four follow-up sessions. Explicit and Implicit attitudes were measured using Likert scale and Implicit Association Test respectively. Also, eye tracking was done to find out the most important information. Results Strong explicit attitudes, were formed toward both men and women, and weak but significant implicit attitudes, were generated toward men only. Eyetracking results showed that people spent more time reading morality information. Conclusion Our results indicate that explicit attitudes are made by propositional learning, which is the main component for evaluating others with several meaningful fragmentary information, and implicit attitudes are formed by top down process. And as well as those of previous studies, morality information was suggested as the most important factor in developing attitudes.
机译:目的人们最近几天经常通过社交媒体使用零散但有意义的个人信息来评估他人。尚不清楚该过程是隐式的还是显性的,在这种过程中哪种信息更重要。我们研究了几种有意义的零碎信息对态度的影响。方法向33名KAIST学生提供有关四个虚拟人的四个零碎信息,这些信息对评估人很有意义,并在现实生活中经常见到,并被要求在四个后续会议中想象该人。显性态度和内隐态度分别使用李克特量表和内隐联想测验进行测量。此外,还进行了眼动追踪以找出最重要的信息。结果对男人和女人都形成了强烈的外在态度,而对男人只产生了弱但显着的内在态度。眼动结果表明,人们花更多的时间阅读道德信息。结论我们的结果表明,明确的态度是通过命题学习做出的,这是评估带有多个有意义的零碎信息的他人的主要组成部分,而隐含的态度是由上而下的过程形成的。与以前的研究一样,道德信息被认为是培养态度的最重要因素。

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