【演讲】2015演讲大赛亚军倪侃总决赛视频CUT

2016/03/23 16:10:44
2015“外研社杯”全国英语演讲大赛总决赛赛题
 
 
 
选手视频
 
 
 
嘉宾点评
 
周容宇
2011“外研社杯”全国英语演讲大赛一等奖获得者
连续多年任“外研社杯”全国英语演讲大赛决赛主持人
 
      在听到倪侃演讲的开头时,我的注意力就被吸引住了,或者说我的好奇心就被勾起了。这篇演讲开头向大家简单讲述了google如何第一个发现禽流感的存在,进而再引出他所演讲的主题:他所设计的EmoBase软件。这是一种值得借鉴的开头方式。整篇演讲内容安排比较合理,而且在关于EmoBase软件的一些应用细节的论述上,我不得不佩服选手在如此短的准备时间里考虑得这么细致。因为演讲时间有限,同时选手想要尽可能多地介绍自己的想法,不免语速略快。这个时候或许也可以舍掉相对不是那么重要的内容,让自己更加从容地在固定的时间内做好展示!
 
单理扬
2009“CCTV杯”全国英语演讲大赛总冠军
 
      Challenger的第一个问题为,现代社会,医学和科技越来越发达,应对疾病和痛苦的药物和科技手段越来越多,可是人类的疾病和痛苦却似乎没有因此而减少,对此你怎么看?这个问题非常非常犀利,应对的角度很多。在关于EmoBase演讲的语境下,要回应这个问题,选手起码有以下这几个burdens。首先,EmoBase和目前已有的应对情绪和心理问题的药物或其他解决方案有什么不一样?第二,EmoBase的这些特点为什么能够确保人们更好地处理情绪和心理问题?简而言之,在这个问题上,Challenger想要获取更多关于solvency的答案。
      7号选手的选择是将演讲内容和该问题做了结合,以EmoBase应用的solvency来做回应。这样做的益处是在于能够缩小问题的解答范围,给予这个较为宏观的问题一个具体的语境。在最理想的情况下,如果回答得好,那么问答环节可以给前面的演讲环节加分,让评审对于前文演讲内容留下更为深刻的印象。不过,将Challenger的提问内容与自己的演讲内容相联系也并非一个固定动作,具体也要看提问内容是否的确和自己的演讲内容密切相关。如果能够找到一个联结的点,那固然是最好的。如果感觉建立联系有些困难,也可以不勉强,按照具体问题来具体应答。7号选手的着重强调了Emobase的可携带性和便捷性,并解释说,在智能手机年代,该解决方案以手机应用的形式存在,可以为人们随时随地提供服务,打破了时间和空间的局限。这是对演讲内容的延伸。
      Challenger的第二个问题是大数据时代,个人的信息十分容易被泄露。如果隐私权得不到保障,那人们为什么会愿意用这个手机应用?例如,在求职的时候,employer也许会通过一定手段获得候选人的数据,并将此作为依据拒绝一些候选人的申请。那么这是否是该应用的一个弊端?并且Challenger以Facebook这样的社交网络为例,证明了个人数据可能会对个人发展不利。这个问题挑战的是演讲者对于EmoBase的model设定,即这项应用是否会伤害个人隐私,对个人发展造成不利影响。7号选手在问答的后半段对此作了较为清晰的回应,着重对比了EmoBase和社交网站的不同,即社交网站的数据更容易被公众获得,很多信息是人人可见的。但是Emobase并不是一个社交网站,所有数据只有后端的“机器人”可以获得,不会被雇主或者其他人看到。这是对model的合理解释和有效辩护。
      Challenger的第三个问题是,这是代表中国参加国际的Maker Plan,你的项目为何可以作为中国代表?在国际大赛的场合,作为国家代表,如果自己的项目有一定自己国家的特色,对于其他国家也适用或者有一定启发效应,会较为理想。7号选手就中国为什么需要这样的应用做了回应。他认为,中国人口众多,政策制定者如果希望能够出台符合人们实际需求的政策,亟需一个高效并且有一定覆盖率的平台来获取相关信息。手机应用也许能够较好的服务于这一需求。
      总体来说,要较好地回应Challengers,一定要冷静,充分理解提问的点,并勇敢地做出回应。
 
 
      附:演讲稿(实际演讲可能与讲稿略有出入,仅供各位学习参考使用。)
 
EmoBase
 
      Good morning, ladies and gentlemen.
      In 2009 avian flu virus was discovered. Combining elements of the viruses that cause bird flu and swine flu, this new H1N1 virus, spread quickly. But guess who was the first to discover and make the precise prediction about the outburst of this virus in the US? Not CDC, not FBI, but Google. It achieved this by investigating people’s searching traces on the Internet. This is a story from the book Big Data. It shows that sometimes our good intentions may fall into hypocrisy because we do not have the knowledge or experience of the people in need. Thus, what I will present to you today is a solution to this problem. My maker plan would be EmoBase, a smart phone application with dual purposes: for the users, it can assuage their negative emotions; and for the runners, it can collect the data of people’s feelings on a macroscopic level.
      EmoBase is a compound of the words emotion and database. It combines individual mentality and big data in the digital age. What can we do with this app? Since we are still on the embryonic stage of invention, there are currently two major functions: venting and chatting. In the contemporary world, everyday we are pestered by multifarious vexations from the scold of your boss, to the traffic congestion this morning. However, sometimes a real-life confidant is difficult to come by. But here with EmoBase, we can alleviate our negative feelings through various ways. First, there are a couple of games for you to vent your anger and depression, including Whac-A-Mole and Smash the Glass. Moreover, you can chat with our robot equipped with sufficient information to console you under almost any circumstances. This application will be of unprecedented assistance to modern citizens loaded with anxiety and solitude.
      Meanwhile, the runners of this app can utilize the users’ emotional data in a constructive and informative manner. You may wonder whether we can obtain any truly useful information from the users. My answer is, yes, and a lot. The frequency of any individual playing those venting games may seem meaningless, but on a societal level, the frequency of a certain group of people activating this function can be a demographical sign of aggravating stress and discomfort.
      For example, which age group is more discontent? Previously we could only reach the conclusion through observation and speculation. But now with EmoBase, more precision and reliability can be attained. Furthermore, EmoBase can apprise policy-makers of insidious problems that are undermining the well-being of our community. For instance, domestic violence victims are often ashamed to reveal their experience to others. According to Leslie Steiner’s TED Talk, “abuse thrives only in silence, you have the power to end it simply by shining a spotlight on it”. With our chatting robot, this spotlight can be shone because those victims may be willing to share their secrets with this non-human counselor, which not only pacifies themselves but also offers valuable information about the rampancy of such crimes. This also applies to various forms of discrimination and sexual harassment. All the data will arouse public attention to fighting against these evils.
      Ladies and gentlemen, big data have largely facilitated our material life. From the search engines to the shopping sites, the application of big data is only too ubiquitous. Now why not take full advantage of it to ameliorate the mental lives of all the people? This is my idea, and EmoBase is my proposal to make the change.
 
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