讀心術可以防止恐怖攻擊

讀心術可以防止恐怖攻擊

翻譯：李孟澤  2014/07/26

資料來源

來自伊利諾斯州西北大學的研究人員和學生進行一項實驗證實可以通過讀心術來防止恐怖攻擊。

學生計畫攻擊而研究者透過監測他們的大腦皮層 P300 腦波以獲得關於攻擊的資訊。這些腦波在有意義的將與犯罪相關的資料送給一個人時發生。實驗資料雖然是假的，然而科學家們認為他們的技術將能夠防止真正的攻擊。

在研究當中，研究人員將電擊貼附到學生的頭皮上，並在電腦顯示器上隨機顯示如波士頓、 休斯頓、 紐約、 芝加哥和鳳凰城等城市的名稱。研究人員發現幾乎每次當出現學生們打算攻擊位置的城市名稱時都會引起最大的 P300 腦波反應。

根據西北大學的溫伯格藝術和科學學院 Northwestern's Weinberg College of Arts and Sciences  心理學教授 J.彼得 · 羅森菲爾德表示，科學團隊可以辨識出10/12 的恐怖分子。此外，研究團隊並設法辨識出 20/30 與犯罪有關的詳細資訊。羅森菲爾德教授表示，經由測試發現預測潛伏知識有高達83%的準確性，這表示我們可以透過複雜的通訊協定達到辯識未來恐怖活動之目的。

註：腦波偵測可以發現恐怖分子，當然也可以發現其他犯罪，台灣心理研究人員可以朝這方面發展。

Source: http://www.infoniac.com/science/researchers-use-mind-reading-technology-to-prevent-terrorist-attacks.html


Researchers Use Mind-Reading Technology to Prevent Terrorist Attacks
Students and researchers from the Northwestern University in Illinois decided to carry out an experiment that would demonstrate that it is possible to prevent terrorist attacks by reading the people's minds.
The students planned the attack and the researchers were able to obtain information on the attack by monitoring their P300 brain waves, which represents brief electrical patterns in the cortex. These waves take place when meaningful data is presented to a person with "guilty knowledge." In the experiment the data was a mock planned attacked. However, scientists consider that their technology will be able to help prevent a real attack.
During the study, researchers attached to the scalps of the students electrodes and showed them on a computer monitor the names of cities such as Boston, Houston, New York, Chicago and Phoenix. The cities were presented randomly. Researchers found that in nearly every case, the name of the location that the students planned to attack evoked the largest P300 responses.
According to J. Peter Rosenfeld, professor of psychology in Northwestern's Weinberg College of Arts and Sciences, the team of scientists was able to spot 10 out of 12 terrorists. In addition, they managed to identify 20 out of 30 crime-related details, informs Gizmag.
"The test was 83 percent accurate in predicting concealed knowledge, suggesting that our complex protocol could identify future terrorist activity," he said.