展示HN：通过基于行动的日记和人工智能探索情感自我意识
我一直在思考如何提高情感自我意识，而不依赖于情绪记录，因为这些往往感觉很生硬或不自然。与其问“你感觉怎么样？”，不如观察一个人在一天中的行为，从中推测他们的情感状态。
我尝试使用基于BERT的模型，训练于谷歌的GoEmotions数据集（该数据集涵盖了28种细腻的情感，如懊悔、快乐、乐观等）。这个想法是让用户反思自己的善行或恶行，然后利用自然语言处理（NLP）来分类潜在的情感。
我注意到的一些模式包括：
- 在一个颜色编码的日历上可视化每日主导情感，可以快速了解情感概况。
- 比较不同日期的情感提供了对我们行为如何影响情感趋势的洞察。
- 以行动为先的反思似乎减少了与情绪记录相比“表现”情感的压力。
这都是我正在进行的一个安卓实验的一部分。我很好奇这里是否有其他人探索过类似的方法——使用人工智能根据行为来建模情感，而不是依赖自我报告。很想听听你们的想法或反馈。
如果你对实施过程感兴趣，或者想看看这个安卓实验的实际效果，我在这里写了更多内容：
[https://medium.com/@va6042/what-if-your-daily-actions-could-tell-you-how-you-really-feel-f339b99424e0](https://medium.com/@va6042/what-if-your-daily-actions-could-tell-you-how-you-really-feel-f339b99424e0)
欢迎任何反馈——无论是技术、用户体验还是哲学方面的。
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I've been thinking about ways to improve emotional self-awareness without relying on mood logs, which often feel forced or artificial. Instead of asking "how are you feeling?", what if we looked at what someone did during the day — and derived their emotional state from that?<p>I tried implementing this using a BERT-based model trained on Google’s GoEmotions dataset (which covers 28 nuanced emotions like remorse, joy, optimism, etc.). The idea is to let users reflect on their good or bad deeds, and then use NLP to classify the underlying emotions.<p>Some patterns I’ve noticed:<p>Visualizing daily dominant emotions on a color-coded calendar gives a quick emotional overview.<p>Comparing emotions across days offers insights into how our actions shape our emotional trends.<p>Action-first reflection seems to reduce the pressure to “perform” emotionally compared to mood logs.<p>This is all part of an Android experiment I’m working on. Curious if others here have explored similar approaches — using AI to model emotion based on actions rather than self-reporting. Would love to hear your thoughts or feedback.<p>If you're curious about the implementation or want to see what the Android experiment looks like in action, I wrote more about it here:<p><a href="https://medium.com/@va6042/what-if-your-daily-actions-could-tell-you-how-you-really-feel-f339b99424e0" rel="nofollow">https://medium.com/@va6042/what-if-your-daily-actions-could-...</a><p>Feedback — technical, UX, or philosophical — is very welcome.