affective

affective的音标是[əˈfektɪv]，基本翻译是“情感的；受影响的；起作用的”。

速记技巧：affective由“affect”和“-ive”组成，“affect”表示“影响”，整个词的意思是“受影响的”。

affective的英文词源：

- 词根：affect

- 前缀：ad- 或 re-

affective的变化形式：

- 名词：affectation

- 形容词：affective

- 副词：affectively

相关单词：

1. affection：情感，感情；钟爱，爱慕；偏爱，爱好。

2. affectionate：充满感情的；慈爱的；表示爱慕的。

3. affect：影响；假装；侵害。

4. averse：厌恶的；反对的；不喜欢的。

5. affectation：做作；假装；过分装饰。

6. affective：情感的；感情的。

7. affectionless：无情的；无感情的。

8. affective disorder：情感障碍。

9. affective neuroscience：情感神经科学。

10. affective states：情感状态。

例如，当我们说某人“affectless”时，我们是在说这个人缺乏情感，没有同情心或同理心。而“affective neuroscience”则研究大脑中与情感有关的区域和过程，这有助于我们更好地理解情感和情绪在人类行为中的作用。

affective短语：

1. affective computing 情感计算

2. affective neuroscience 情感神经科学

3. affective psychology 情感心理学

4. affective decision making 情感决策

5. affective intelligence 情感智能

6. affective computing 情感计算

7. affective neuroscience 情感神经科学

8. affective feedback 情感反馈

双语例句：

1. Affective computing can help us understand human emotions better. 情感计算可以帮助我们更好地理解人类的情感。

2. The affective neuroscience research has made great progress in recent years. 情感神经科学的研究近年来取得了很大的进展。

3. We should take into account the affective factors when making decisions. 在做决策时，我们应该考虑到情感因素。

4. The affective feedback can help us improve our performance and enhance our motivation. 情感反馈可以帮助我们提高表现和增强动力。

5. The affective intelligence of artificial intelligence is becoming more and more important. 人工智能的情感智能变得越来越重要。

6. The relationship between people and technology is becoming increasingly affective. 人与技术的关系变得越来越情感化。

7. The emotional state of a person can have a significant impact on their work performance. 人的情绪状态可以对他们的工作表现产生重大影响。

英文小作文：

Affective Computing in Our Life

Affective computing is a field that studies how to understand human emotions and feelings, and it is becoming increasingly important in our daily lives. From smartphones to artificial intelligence, affective computing is gradually becoming a part of our daily routines. It can help us better understand the emotions of others, provide more personalized services, and even predict our behavior based on our emotional state. For example, a smartphone can detect our emotional state and provide suggestions based on our preferences and needs, which can help us make better decisions and improve our quality of life. However, affective computing also raises concerns about privacy and security issues, and it is important to strike a balance between the benefits and risks of this technology. As we continue to develop affective computing, we should also pay attention to its impact on society and ensure that it is used responsibly and ethically.