跟读练习: Don’t Start with AI, Start with the Problem - 通过YouTube学习英语口语
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-To build good AI products, we should start with three major steps, identifying problems that users experience, identifying how we might go about solving those problems, then identifying the technology that can help.
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-To build good AI products, we should start with three major steps, identifying problems that users experience, identifying how we might go about solving those problems, then identifying the technology that can help.
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The challenge is that these days, we so often start with selecting the technology and find a problem for it to solve later.
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With AI, this bad reverse order is even worse.
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More often than not, with AI, people are pressured to use AI for something, anything.
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In UX, we call this problem solutioneering.
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It's so common that we included it as our UX slogan number 18.
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Instead, we should be collecting issues that do exist, problems that users do experience.
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A good AI strategy begins with identifying unmet user needs, business challenges, or market opportunities, and then considering where AI might be a viable solution along with other alternatives.
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Let's talk about an example.
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Imagine a team at a FinTech company.
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The wrong way, the solutioneering way, starts with some sort of pressure from above.
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"We need to use AI to look innovative." The team decides to add a generic AI chatbot to their main credit card page.
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After months of work, they launch the chatbot, but users don't use it.
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Why? Because maybe the page already has a clear comparison table and customers can find what they need faster without talking to a bot.
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In this situation, the AI chatbot is a classic solution that solves no real user problem.
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A solution looking for a problem.
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Let's flip that.
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Let's take a look at an example of how we should approach building useful AI products.
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Step one, identify the user problem.
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Let's imagine that the team analyzes user data and sees that plenty of people abandon their online mortgage application halfway through.
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Through a few customer interviews, they quickly learn why.
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Customers are confused by financial jargon like APR or interest rate and feel anxious they're making the wrong choice.
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That's the problem.
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Step two, identify how to solve it.
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The goal is to reduce confusion and anxiety.
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They could create a glossary page, make explainer videos, or offer a live chat with a loan officer.
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Step three, identify the technology.
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This is where AI could actually help.
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A well-trained AI assistant could offer instant, in-context explanations for confusing terms 24-7.
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Success can be defined and would be easy to measure.
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A decrease in the number of abandoned mortgage applications.
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See the difference?
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We didn't start with AI.
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We started with a real user problem and found that AI was a fitting tool that might solve it.
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AI is just a tool that can solve problems.
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It shouldn't be assumed to be part of the solution unless you've started with the problems first and understood them clearly.
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Not only should we have identified legitimate problems, but ideally, we've had a discussion on how we'd recognize success by doing it.
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As much as we want to start with AI, we want to create good experiences.
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Start by identifying problems.
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Then, just maybe, AI could help solve those problems.
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-Thanks for watching.
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If you want to see more of our UX videos, take a look at these over here and consider subscribing to our channel.
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On our website nngroup.com, you can access our free library of over 2,000 articles.
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You can also register for one of our UX courses that offer live hands-on UX training.
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背景与语境
在当今技术快速发展的时代，人工智能（AI）渐渐成为各行各业的热门话题。许多人在构建AI产品时，往往不自觉地遵循错误的顺序：首先选择技术，然后寻找解决问题的方法。这样的方法不仅无效，甚至可能导致资源的浪费。本视频强调了确立用户问题的重要性，只有在了解真实的用户需求和痛点之后，才能有效地运用AI技术。在这个过程中，正确的思维方式将有助于创造更好的用户体验。
日常交流的五大短语
- 我们需要使用AI来展现创新。
- 许多用户在申请在线抵押贷款时中途放弃。
- 他们对金融术语感到困惑。
- 我们应该确定用户的问题。
- 成功的标准应该易于衡量。
逐步跟读指南
为了提高您的英语能力，尤其是在发音方面，跟随视频中的对话是非常有效的练习方法。以下是您可以采取的步骤，帮助您更好地理解和模仿：
- 选择内容：首先，观看相关主题的YouTube视频，如本视频，了解背景和语境。
- 集中注意：在开始跟读前，确保您理解视频中的关键内容和短语。
- 分段练习：将视频分成小段进行跟读，这样可以更好地掌握每一句的发音和语调。
- 录音对比：用手机录下自己的声音，与原视频进行对比，注意发音和语调的差异。
- 重复练习：定期反复进行跟读练习，逐渐提高自己的流利度和自信心。
通过这种方法，您可以在提高英语发音的同时，深入理解问题导向的思维方式。利用看YouTube学英语、shadow speech等资源，可以加速您的雅思口语练习，进而提升您的整体英语水平。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。