Question

    By analyzing the movement of the smile across a person’s face, the software developed by researchers at the University of Bradford can determine whether or not the expression is true. The most significant movements detected by the software were around the eyes, supporting popular theories that a true smile is one that can be seen in a person’s eyes.

“A smile is perhaps the most common of facial expressions and is a powerful way of signaling positive emotions (情绪)” says Hassan Ugail, Professor of Visual Computing at the University of Bradford, who led the research. “Techniques for analyzing human facial expressions have advanced a lot in recent years but distinguishing between true and false smiles remains a challenge because humans are not good at picking up the relevant messages.”

The software works by first mapping a person's face from within a video recording, and identifying the mouth, cheeks and eyes of the subject. It then measures how they move through the progress of the smile and calculates the differences in movement between the video pieces showing true and false smiles. They found significant differences in the way the subjects' mouths and cheeks moved when comparing the true and the false expressions. The movements around the subjects’ eyes, however, showed the most striking difference, with true smiles producing at least 10 percent more movement in these muscles (肌肉).

“We use two main sets of muscles when we smile — the zygomaticus major, which is responsible for the movements upwards of the mouth and the orbicularis oculi which causes movements around our eyes,” explains Professor Ugail. In false smiles it is often only the mouth muscles that move but, as humans we often don’t spot the lack of movement around the eyes.

He adds, “An objective way of analyzing whether or not a smile is true could help us develop improved interactions (互动) between computers and humans. It could also be important to scientists aiming to gain more understanding into human behavior and emotion.”

1.Why is it hard for humans to recognize a false smile?

A.Humans are good at hiding their smiles.

B.The relevant details are hard to catch for our eyes.

C.Humans often put on too many facial expressions.

D.Techniques for analyzing facial expressions are hard to develop.

2.What do the researchers find by the software?

A.People usually use two main sets of muscles when smiling.

B.True smiles produce more muscle movement around eyes.

C.Mouths and cheeks move the same for true and false smiles.

D.True smiles are a powerful way of signaling positive emotions.

3.What can we infer from Professor Hassan Ugail?

A.There are different sets of muscles on every human’s face.

B.The software can improve humans’ behavior and emotion.

C.Humans can spot the movement around the eyes in true smiles.

D.The interactions between computers and humans remain to be improved.

4.What is the best title for the text?

A.Eyes Can Smile

B.Smiles Can Show One's Personality

C.More Smiles, Longer lives

D.True Smiles, False Movements

Answer

1.B

2.B

3.D

4.A

【解析】

这是一篇说明文。文章主要介绍了布拉德福德大学的研究人员开发了一款软件，这款软件能根据眼睛分析一个人的微笑是否真实。

1.细节理解题。根据第二段中Techniques for analyzing human facial expressions have advanced a lot in recent years but distinguishing between true and false smiles remains a challenge because humans are not good at picking up the relevant messages.可知，近年来，分析人类面部表情的技术有了很大进步，但辨别真假微笑仍然是个挑战，因为人类不善于识别相关信息。由此可知，人们很难识别假笑是因为我们的肉眼很难捕捉到相关的细节信息。故选B项。

2.细节理解题。根据第三段中The movements around the subjects’ eyes, however, showed the most striking difference, with true smiles producing at least 10 percent more movement in these muscles (肌肉).可知，然而，受试者眼部周围的运动表现出最明显的不同，真正的微笑至少能使这些肌肉多活动10%。由此可知，真正的微笑会使眼睛周围的肌肉运动更多。故选B项。

3.推理判断题。根据最后一段He adds, “An objective way of analyzing whether or not a smile is true could help us develop improved interactions (互动) between computers and humans. It could also be important to scientists aiming to gain more understanding into human behavior and emotion.”可知，他补充道：“分析微笑是否真实的客观方法可以帮助我们改善计算机与人类之间的互动。这对那些希望更多地了解人类行为和情感的科学家来说也很重要。”由此可知，Hassan Ugail教授认为计算机与人之间的交互作用仍有待改进。故选D项。

4.主旨大意题。根据第一段By analyzing the movement of the smile across a person’s face, the software developed by researchers at the University of Bradford can determine whether or not the expression is true. The most significant movements detected by the software were around the eyes, supporting popular theories that a true smile is one that can be seen in a person’s eyes.可知，布拉德福德大学的研究人员开发了一款软件，通过分析一个人脸上笑容的移动，可以判断这个表情是否真实。该软件检测到的最重要的动作是眼睛周围，这支持了一个流行的理论，即真正的微笑是可以从一个人的眼睛中看到的。由此可知，本文主要介绍了一款软件能根据眼睛分析微笑是否真实，也就是眼睛能够看出微笑，因此文章的最佳标题是“眼睛能微笑”。故选A项。