隨著數位化影音的潮流到來，我們希望能發展一套當受試者正在看娛樂影片時，可以偵察出受試者當時感受強度的工具。然後，我們便可以知道這部影片在消費者心中受歡迎程度。我們通常用問卷調查法、或是晤談...等方法來瞭解受試者的內心世界，但是使用這樣的方法有其偏誤與限制，所以我們希望能有一套工具來自然地協助量測。
由於人類的臉部表情在沒有社交與壓抑情緒的情況下，會自然的力用表情流露他的感受與強度。臉孔偵測已經被發展日漸趨於成熟，我們期望能應用臉孔偵測來得知我們的內心感受。
由於我們不夠時間與資源來徹底研究，因此先行作笑容與感覺強度的研究。我們利用實驗來得知笑容強度與內心感受程度的相關與趨向。

With the trend of digital video and audio coming, we wish to develop a tool that can be used to conjecture the consumer’s intensity of feeling when consumer watches the movie. Then, we can know how popular the movie in the consumer’s heart. Due to understand consumer’s inner world is very difficult, we often use questionnaire or interview to know what and how the consumers feel in the past. But using questionnaires or interviews maybe make a bias. Because the diction maybe influence on subjects and the investigators are different that maybe influence the uniformity. So, we wish to develop a tool can detect consumer’s inner world naturally.
The face detection system was developed in the past and it grew up every day. We wish to use the face detection system that can help us to understand the consumer’s intensity of feeling to form a feeling detection system. Our face can express our feeling and intensity naturally without social contact and constrained consciousness.
Due to we have not enough time to study, we focus on the relation between smile magnitude and intensity of feeling in this study. We use a experiment to understand if there are relations between smile magnitude and intensity of feeling and relations between smile magnitude and price that consumers anticipate. In this study we also find some significant relation between smile magnitude and intensity of feeling. They will be represented in chapter four.

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