Unit 10 Connections（课件）-【优化探究】2022-2023学年新教材高中英语选择性必修第四册同步导学案（北师大版2019）(新教材老高考)

返回导航 下页 上页 北师英语 选择性必修第四册 一项调查研究发现，人们会对笑脸更信任，会把钱给值得信任的脸，由此研究人员得出结论，人们往往会看脸来判断陌生人。 返回导航 下页 上页 北师英语 选择性必修第四册 When there are some strangers in front of us, which of them will we trust? According to a new study in the online PLoS One, people make their decisions to trust others largely based on their faces. Your appearance can do a lot for you, especially if you are in the financial industry. The more trustworthy you look, the more likely people will buy what you're selling. 返回导航 下页 上页 北师英语 选择性必修第四册 Researchers from Britain's University of Warwick Business School, University College London, and Dartmouth College, US, did a number of experiments.The research team used computer software to make 40 faces, from the least to the most trustworthy­looking. The study said that the difference between a trustworthy face and one that isn't as trustworthy comes from features that look slightly angry or slightly happy, even when the face is at rest. However, a slightly happy face is more likely to be trusted. Researchers gave participants some 返回导航 下页 上页 北师英语 选择性必修第四册 money and asked them which face they trusted to invest the money for them. Then researchers gave some good and bad information about the people with these faces, and asked the participants again whom they trusted. The results showed that even if they got different information, the participants didn't change their choices. They were still more likely to invest their money with the more trustworthy­looking faces. 返回导航 下页 上页 北师英语 选择性必修第四册 Chris Olivia, one of the study's authors, said in the University of Warwick's press release: “It seems we are still willing to go with our own instincts about whether we think someone looks like we can trust them.” 返回导航 下页 上页 北师英语 选择性必修第四册 Period Ⅰ　TOPIC TALK & LESSON 1 返回导航 下页 上页 北师英语 选择性必修第四册 必备知识 自主学习 关键能力 合作探究 课堂检测 素养达标 课时作业 巩固提升 返回导航 下页 上页 北师英语 选择性必修第四册 Part 1　课文预读 [原文呈现] HOW CLOSELY CONNECTED ARE WE? Research shows the average person① only has regular communication② with