近年來在硬體、大數據、雲端運算、物聯網以及神經網路演算法的突破之下，促使人工智慧成為一個新興的話題。以人工智慧為核心的智慧型個人助理已經能夠被嵌入在現今普及的智慧型手機裡面，透過物聯網的應用，智慧音箱也成為智慧型個人助理的代表之一。智慧型個人助理主要的四大功能：互動、服務、控制及內容，最困難的尤其是「互動」，然而互動本是雙向的機制，因此如何讓使用者不再認為只是控制著冰冷的機器人，而是達到如同真人般的雙向溝通，進而與使用者培養感情並建立長期的關係，將會是智慧型個人助理成功的關鍵。
研究顯示，擬人化之後的智慧型個人助理提升了使用者體驗及滿意度，也發現多數的使用者喜愛其具有情感的聲調，由此可知除了專業度能影響使用者的感受，智慧型個人助理傳達的情感資訊也有一定之影響力。但是能否將使用者與智慧型個人助理從互動中感受到的正向心情轉換成黏著度，進而讓企業留住老客戶以節省開發客戶的成本，就是值得關注的領域。所以本研究將態度構面分成認知態度與情感態度作為使用者考量繼續使用智慧型個人助理關鍵因素，並且以資訊系統成功模式探討使用者在認知上的感受，另一方面，以情感層面探討使用者是否能感受到智慧型個人助理的陪伴、溫暖與同理心。最後將兩者的關係與影響做深入的比較，進一步瞭解何者對於使用者未來的使用意願影響程度較顯著。
本研究結果顯示，目前使用者的認知態度受智慧型個人助理的功能影響較為強烈；反之，使用者的情感態度受智慧型個人助理的情感構面之影響較為薄弱。然而研究發現，認知態度與情感態度之間具有調節效應，因此本研究認為情感態度在某些條件下依然能夠彰顯其成效，所以除了關注使用者的認知維度，本研究對於智慧型個人助理在情感維度的影響仍抱持著正面的看法。

In recent years, breakthroughs in hardware, big data, cloud computing, internet of things and neural network algorithms have promoted artificial intelligence. Intelligent personal assistant which based on the artificial intelligence have been able to embedded into the smartphones and smart speakers. The four main functions of intelligent personal assistant: interaction, service, control, and content. The most difficult one is "interaction", so how to make users no longer think that they are controlling a cold robot, and cultivate feelings also establish long-term relationships with users, will be the key to the success of intelligent personal assistants.
Research shows that the intelligent personal assistant after anthropomorphizing improves user experience and satisfaction. It is also found that a lot of users like emotional tone. However, whether the positive feelings felt by users can be converted into stickiness is a key point to be attention. Therefore, this study divides attitudes into cognitive attitudes and affective attitudes for users to consider the continued use of intelligent personal assistant. This study adopts Information System Success Model to explore cognitive attitude and use affective constructs to identify if user can feel them.
The results of this study show that the current user’s cognitive attitude is strongly affected by the intelligent personal assistant’s functions; on the contrary, the user’s affective attitude is relatively weakly affected by the intelligent personal assistant’s affective constructs. However, research has found that there is a moderating effect between cognitive attitude and affective attitude. Therefore, this study believes that affective attitude can still demonstrate its significant effect under certain conditions.

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