前瞻性移动计算：技术现状与研究挑战综述
Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges
摘要：
今天的手机已经远远不是十年前的通信设备了。配备了复杂的传感器和先进的计算硬件，手机可以用来推断用户的位置，活动，社交环境等。随着设备变得越来越智能，它们的能力从推断上下文发展到预测上下文，然后根据预测的上下文进行推理和行动。本文概述了移动传感和上下文预测的当前技术水平，为全面的预期移动计算铺平了道路。我们提出了一个调查的现象，手机可以推断和预测，并提供了用于这种预测的机器学习技术的描述。然后，我们讨论通过用户设备反馈回路的主动决策和决策交付。最后，我们讨论了预期的移动计算的挑战和机遇。
英文摘要：
Today's mobile phones are far from mere communication devices they were ten years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more. As devices become increasingly intelligent, their capabilities evolve beyond inferring context to predicting it, and then reasoning and acting upon the predicted context. This article provides an overview of the current state of the art in mobile sensing and context prediction paving the way for full-fledged anticipatory mobile computing. We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions. We then discuss proactive decision making and decision delivery via the user-device feedback loop. Finally, we discuss the challenges and opportunities of anticipatory mobile computing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
