Context-aware HCI service selection
Context-aware HCI service selection
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DOI：
10.3233/mis-2012-0141
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发表时间：
2012-07
期刊：
影响因子：
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通讯作者：
Yao Shen;Minjie Wang;Xiaoxin Tang;Yi Luo;M. Guo
中科院分区：
文献类型：
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作者：
Yao Shen;Minjie Wang;Xiaoxin Tang;Yi Luo;M. Guo
为了在多设备、多模式的环境下提供更好的用户体验，上下文感知已经成为人机交互中的一个关键问题。基于这种直觉，我们提出了一个基于Web服务的框架，它将交互与服务相关联，并提供了使用上下文知识的服务选择机制，以实现智能交互迁移[1]。这种面向服务的交互迁移框架的一个基本问题是设计一个有效的，同时可扩展的服务选择算法。在本文中，我们提出了一个服务选择算法，不仅考虑上下文信息和用户的喜好，但也服务之间的关系，如相对位置。我们的算法检测用户活动范围内的交互热点，并提出了最佳的服务组合的基础上评估的互动效果。我们也进行了模拟和结果表明，我们的算法是有效的和可扩展的交互服务选择。
Context-awareness has become a key issue in Human-Computer InteractionHCI to provide better user experience under multi-device and multi-modal environment. With this intuition, we have proposed a web service based framework, which associates interactions with services, and provided service selection mechanism using context knowledge to achieve smart interaction migration [1]. A fundamental problem of such a service-oriented framework for interaction migration is to design an effective while scalable algorithm for service selection. In this paper, we propose a service selection algorithm considering not only context information and user preferences but also inter-service relations such as relative location. Our algorithm detects interaction hot spots within user active scope and presents the best service combination based on evaluation of interaction effectiveness. We also conduct simulation and the results illustrate that our algorithm is effective and scalable for interaction service selection.