在我們的日常生活中，越來越多服務透過嵌入式儀器的互動來完成。而透過這些服務的幫助，使用者的需求能夠更有效率的被達成。例如：有航空公司和機場營運組織支援使用者利用智慧型手機來進行登機手續，而透過智慧型手機所達成的行動登機，可以讓使用者減少在登機過程所需要等待的時間。隨著軟硬體技術的發展，越來越多嵌入式儀器隨之發展，並且提供更多類型的便利服務給予使用者。然而與此同時，使用者也需要理解在不同環境下如何利用各項嵌入系儀器互動來獲得需要的服務來達成需求。當使用者進入新環境，而且從未使用也未曾明瞭環境中可以利用的服務和進行的方式，對此使用者無法獲知如何利用相關服務來達成需求。雖然現在已經存在有相關技術能夠偵測環境的變化，並且根據環境的情境建議合適的服務來完成使用者需求。然而將這些技術應用在日常生活來認知足夠的情境資訊，仍然十分困難。由於情境資訊不足，使得使用者無法準確地獲得環境中的最佳服務，而需要自行挑選最佳服務。即便使用者理解自身需求並且能夠清楚描述，也無法精準地獲得最佳服務。
日常生活是開放式的環境，使用者或是使用者代理人（User Agent）無法事先知道環境存在何種服務，其中有何服務能夠針對使用者需求提供最佳幫助。為了提供最佳服務給開放環境下的使用者，本研究提供一套名為「氛圍設定（Ambience Setting）」的通訊策略來解決這個問題。基於氛圍設定，使用者或是使用者代理人對於開放環境以及環境內的服務不需在事前具有相關知識，就能夠獲得最佳服務。因此在氛圍設定的幫助下，使用者就能夠利用最佳服務來完成需求。除此之外，本研究將氛圍設定實現為雲端運算所提供的服務，讓「獲得最佳服務」成為一種雲端服務。最後，本研究規劃一個實驗來評估氛圍運算所帶來的果效。

There are more and more services based on the collaboration among embedded devices in our daily life. These services help users achieve their needs in an efficient manner. For example, airline companies and airports support the user of smart phones as the boarding passes, and therefore reduce the customer waiting time when boarding on the plane. These services are convenient but how to acquire suitable services for users becomes an issue since large amount of embedded devices may collaborate to provide various services in different environments. When users move into an environment and never be aware of the services before, users have no idea about which services are useful to accomplish their needs. Current techniques is able of detecting the context of dynamic environments and suggest services for users to achieve their needs. However, it is difficult to realize necessary contextual information of all services in our daily life. Consequently, users cannot exactly acquire the optimal services to achieve their needs and have to select the optimal services from candidates, even if users can precisely describe their needs.

Users or their agents have no prior knowledge of services in an open environment. In order to provide optimal services for user needs in an open environment, this work proposes a communication strategy, Ambience Setting, to solve the problem. Based on Ambience Setting, users or their agents can acquire optimal services to accomplish their needs without prior knowledge about the services. In this manner, users can achieve their needs in open environments through utilizing the optimal services. This work realizes Ambience Setting in cloud computing to optimize service provision. An experiment has been conducted to evaluate the effectiveness of Ambience Setting.

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