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首页> 外文会议>International Conference on Ubiquitous Computing(UbiComp 2006); 20060917-21; Orange County,CA(US) >Voting with Your Feet: An Investigative Study of the Relationship Between Place Visit Behavior and Preference
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Voting with Your Feet: An Investigative Study of the Relationship Between Place Visit Behavior and Preference

机译：用脚投票：探访行为与偏好之间关系的调查研究

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摘要

Real world recommendation systems, personalized mobile search, and online city guides could all benefit from data on personal place preferences. However, collecting explicit rating data of locations as users travel from place to place is impractical. This paper investigates the relationship between explicit place ratings and implicit aspects of travel behavior such as visit frequency and travel time. We conducted a four-week study with 16 participants using a novel sensor-based experience sampling tool, called My Experience (Me), which we developed for mobile phones. Over the course of the study Me was used to collect 3,458 in-situ questionnaires on 1,981 place visits. Our results show that, first, sensor-triggered experience sampling is a useful methodology for collecting targeted information in situ. Second, despite the complexities underlying travel routines and visit behavior, there exist positive correlations between place preference and automatically detectable features like visit frequency and travel time. And, third, we found that when combined, visit frequency and travel time result in stronger correlations with place rating than when measured individually. Finally, we found no significant difference in place ratings due to the presence of others.
机译：真实世界的推荐系统，个性化的移动搜索和在线城市指南都可以从有关个人位置偏好的数据中受益。但是，在用户到处旅行时收集位置的明确评级数据是不切实际的。本文研究了明确的地点评分与旅行行为的隐含方面（例如访问频率和旅行时间）之间的关系。我们使用一种新颖的基于传感器的体验采样工具，称为My Experience（Me），对16名参与者进行了为期四周的研究，该工具是我们为手机开发的。在研究过程中，我被用来收集3,458份现场调查表，共进行了1,981次访问。我们的结果表明，首先，传感器触发的经验采样是一种用于就地收集目标信息的有用方法。其次，尽管旅行例行程序和访问行为具有复杂性，但位置偏好与自动检测的功能（如访问频率和旅行时间）之间存在正相关关系。第三，我们发现，与单独测量相比，将访问频率和旅行时间结合起来，与地点评级之间的相关性更强。最后，我们发现由于其他人的存在，地方等级没有显着差异。

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