SBIR Phase I: Adaptive Personalization and Context Management for Location-Based Mobile Devices (AdaptTribe)

这个小型企业创新研究第一阶段项目寻求显著提高移动电话等位置感知设备的可用性。移动互联网设备预示着个人计算领域的一场革命，但小屏幕、笨拙的输入能力和设计糟糕的应用环境可能会限制它们的潜力。BigTribe通过位置应用平台解决了这些问题，该平台整合了自适应的基于位置的个性化、链接上下文管理和基于上下文的应用程序。个性化系统跟踪用户的行为，并使用一种新的分布式算法来预测偏好并调整菜单选择。链接上下文管理帮助用户快速选择场地，如剧院，选择要在那里表演的活动，如购买门票，然后.chain。到附近的其他活动，比如在附近的餐厅预订座位。基于上下文的应用程序提供了一个自然的用户界面，用于查找和操作场地、朋友或活动。这些创新减少了点击量。用户必须执行才能完成任务。它们将提高对价格敏感的广阔消费市场(包括互联网进步无法触及的未被充分代表的人群)的个人效率，节省人们的时间，改善社交互动，提高会议规划的效率，并减少燃料消耗。这项工作推进了个性化算法、基于位置的服务、上下文感知和泛在计算方面的知识。

This Small Business Innovation Research Phase I project seeks to dramatically improve the usability of location-aware devices such as mobile phones. Mobile internet devices herald a revolution in personal computing, but small screen sizes, awkward input capabilities, and poorly designed application environments can limit their potential. BigTribe addresses these problems with a Location Application Platform that incorporates adaptive location-based personalization, chaining context management and context-based applications. The personalization system tracks a user.s behavior and, using a new, distributed algorithm, predicts preferences and adjusts menu selections. Chaining context management helps users rapidly select venues, such as a theater, select activities to perform there, such as purchasing tickets, and then .chain. to other nearby activities, such as reserving a table at a nearby restaurant. Context-based applications present a natural user interface to find and operate on venues, friends or events. These innovations reduce the .clicks. users must perform to accomplish tasks. They will improve personal efficiency for a broad, price sensitive consumer market (including underrepresented populations not reached by Internet advancements), save people time, improve social interaction, make planning for meetings more efficient, and reduce fuel consumption. This work advances knowledge in personalization algorithms, location-based services, context-awareness, and ubiquitous computing.