首页
登录
职称英语
These days searching for a number【C1】______ telephone directory seems very o
These days searching for a number【C1】______ telephone directory seems very o
游客
2023-12-22
54
管理
问题
These days searching for a number【C1】______ telephone directory seems very old-fashioned. Voice recognition systems are becoming more and more【C2】______: the best of them apparently recognise 49【C3】______.
These devices save companies a huge amount of money. Stephen Evans in New York has been talking to the machines and to the men who design them. I had a bit of a Basil Fawlty moment, the other day. I rang 411,【C4】______ which now uses a voice recognition system. I told the machine I wanted the number for "Harlem Auto Mall" and she—for【C5】______—replied "Harlem Public School 154". No doubt like lots of people, I【C6】______.
Machines, you see, have personalities, and hanks, phone companies, railways and 【C7】______ are spending a lot of money trying to find out what kinds of voices to give the machines that speak to us, the public, on their behalf.
Much of the research【C8】______—Room 325 in McClatchy Hall—in Stanford University in California. It’s the site of the drily-entitled but fascinating laboratory for " 【C9】______", and the domain of a genial, enthusiastic professor called Clifford Nass who studies, quite simply, how people and machines get on, particularly when【C10】______.
In his lab, a stream of students and local people of all shapes and sizes undergo tests.【C11】______ are played to them and their reactions noted: "Did you trust that voice?" "Did this one have authority?"
Generally, the tests show that people are【C12】______ than by male ones. On the upside, male voiced machines are perceived to【C13】______. One of the results of that, for example is that in Japan a stock-broking company used a female voice on its machine to give information on stocks and shares but then a male one【C14】______.
Now, in many parts of the world, when you hire a car, you get a navigation system—a little electronic map on a screen with a machine voice. In America, it’s a female voice. She tells me, say, to【C15】______ and—I fancy, at least—gets exasperated if I don’t follow her directions: "Recalculating Route", she snaps,【C16】______.
Now, in Germany when they tried a similar system, men reacted against being given directions by a female voice so it had to【C17】______. Old people, by the way, take advice more readily from young people than from people of their own age.
【C18】______. Professor Nass is working on a system where the machine-voice changes according to how you address it. He’s discovered that irritable drivers can calm down if 【C19】______ is subdued—though, for some reason that he doesn’t quite understand, calm drivers get wound up by subdued, low-key voices that don’t vary in pitch. So the next task is to vary the system’s voice according to how grumpy you, the driver, are. If you sound【C20】______, the machine will change tone to calm you down. [br] 【C4】
These days searching for a number in a five-centimetre-thick telephone directory seems very old-fashioned. Voice recognition systems are becoming more and more common and efficient: the best of them apparently recognize 49 out of every 50 words.
These devices save companies a huge amount of money. Stephen Evans in New York has been talking to the machines and to the men who design them. I had a bit of a Basil Fawlty moment, the other day. I rang 411, the American directory enquiries which now uses a voice recognition system. I told the machine I wanted the number for "Harlem Auto Mall" and she—for this machine had a female voice—replied "Harlem Public School 154". No doubt like lots of people, I found myself ranting.
Machines, you see, have personalities, and banks, phone companies, railways and all kinds of alleged helplines are spending a lot of money trying to find out what kinds of voices to give the machines that speak to us, the public, on their behalf.
Much of the research is conducted in a small room—Room 325 in McClatchy Hall—in Stanford University in California. It’s the site of the drily-entitled but fascinating laboratory for "Communication between Humans and Interactive Media", and the domain of a genial, enthusiastic professor called Clifford Nass who studies, quite simply, how people and machines get on, particularly when the machines talk to the people.
In his lab, a stream of students and local people of all shapes and sizes undergo tests. Voices of different ages and accents are played to them and their reactions noted: "Did you trust that voice?" "Did this one have authority?"
Generally, the tests show that people are less persuaded by female voices than by male ones. On the upside, male voiced machines are perceived to have energy and authority. One of the results of that, for example is that in Japan a stock-broking company used a female voice on its machine to give information on stocks and shares but then a male one to make the actual sale.
Now, in many parts of the world, when you hire a car, you get a navigation system—a little electronic map on a screen with a machine voice. In America, it’s a female voice. She tells me, say, to make a right in two miles and—I fancy, at least—gets exasperated if I don’t follow her directions: "Recalculating Route", she snaps, in her American English.
Now, in Germany when they tried a similar system, men reacted against being given directions by a female voice so it had to be taken off the market. Old people, by the way, take advice more readily from young people than from people of their own age.
Tone matters to drivers. Professor Nass is working on a system where the machine-voice changes according to how you address it. He’s discovered that irritable drivers can calm down if the voice on the navigation system is subdued—though, for some reason that he doesn’t quite understand, calm drivers get wound up by subdued, low-key voices that don’t vary in pitch. So the next task is to vary the system’s voice according to how grumpy you, the driver, are. If you sound aggressive to the machine, the machine will change tone to calm you down.
选项
答案
the American directory enquiries
解析
转载请注明原文地址:https://tihaiku.com/zcyy/3294887.html
相关试题推荐
Thatuniversityhasproducedalargenumberofsocialcelebrities,includingfou
Everyautumn,retailershirelargenumbersofseasonalworkerstohandlethe
Everyautumn,retailershirelargenumbersofseasonalworkerstohandlethe
Everyautumn,retailershirelargenumbersofseasonalworkerstohandlethe
Everyautumn,retailershirelargenumbersofseasonalworkerstohandlethe
Everyautumn,retailershirelargenumbersofseasonalworkerstohandlethe
Thereareanumberoffarmersnowwhenselldownstockandclosedownfordrype
Today,asmultimediatechnologyproliferates,thenumberofavailabletoolsisg
Theelectionof2017sawthemincreasingtheirnumberofparliamentaryseatsin
WhatisthenumberofurbanpopulationinChina?[br][originaltext]Justove
随机试题
IntheUnitedStates,itisnotcustomarytotelephonesomeoneveryearlyin
SPICE:FLAVOR::A、splint:limbB、block:vimC、copper:alloyD、symmetry:balanceE、mo
WhichAirport?Thechoiceofwheretoflyfromhasne
[originaltext]W:Youlookawful.Didyouwalkallthewayfromthebusstopin
供应链是围绕核心企业,通过对信息流、物流、资金流的控制,将供应商、制造商、分销商
党的十九大报告指出,必须多谋民生之利、多解民生之忧,在发展中补齐民生短板、促进社
主要用四唑氮蓝染料(NBT)试验诊断的疾病是A.固有免疫缺陷 B.严重联合免疫
关于作业速率的说法,错误的是( )。A.人的生理上有一个最有效或最经济的作业速
在设计和实施审计程序应对重大错报风险时,下列各项中,体现保持职业怀疑的是(
甲企业与乙企业相邻,甲企业发生火灾后乙企业立即给予支援,最终在公安消防队的带领下
最新回复
(
0
)