Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing最新文献_第5页

CityCoupling: bridging intercity human mobility CityCoupling:架起城际人员流动的桥梁

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971737

Z. Fan, Xuan Song, R. Shibasaki, Tao Li, H. Kaneda

{"title":"CityCoupling: bridging intercity human mobility","authors":"Z. Fan, Xuan Song, R. Shibasaki, Tao Li, H. Kaneda","doi":"10.1145/2971648.2971737","DOIUrl":"https://doi.org/10.1145/2971648.2971737","url":null,"abstract":"There are two broad categories of citywide human mobility, routine, composed of daily or periodic travel, and rare, which occurs during events such as the Olympic Games or natural disasters. State-of-the-art studies have shown that routine mobility patterns can be modeled stochastically, while rare human mobility modeling, essential to a variety of urban computing scenarios, such as emergency management and traffic regulation, is a much more challenging and understudied problem. Instead of training a rare-event-specific human mobility model, which suffers from the particularity of the rare events, in this paper we provide a new insight into rare events and propose a novel algorithm, CityCoupling, which establishes an intercity spatial mapping that uses human mobility in one city as input and reproduces human mobility in another city. More intuitively, we attempt to answer the question \"What if this rare event happened in another city?\". To find the optimal intercity spatial mapping, we utilize an expectation-maximization algorithm to estimate a probabilistic geographical correspondence matrix by regarding intercity trajectory matching as latent variables. Thereafter, a Gibbs sampling-based multiple hidden Markov model generates simulated trajectories. We apply our approach to a large mobile phone GPS dataset in Japan and determine the spatial mapping between Tokyo and Osaka to transfer the human mobility at the Great Eastern Japan Earthquake in Tokyo, which was heavily affected, to simulate what might have occurred if Osaka had been struck by the earthquake. We conduct the evaluation by assuming that New Year's Countdown is a rare event that occurs simultaneously in both Tokyo and Osaka, and thus we quantitatively compare our simulation with the ground truth in Osaka.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127825768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

PrefMiner: mining user's preferences for intelligent mobile notification management PrefMiner:挖掘用户的偏好，智能移动通知管理

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971747

Abhinav Mehrotra, R. Hendley, Mirco Musolesi

引用次数: 33

Why would you do that? predicting the uses and gratifications behind smartphone-usage behaviors 你为什么要这么做?预测智能手机使用行为背后的用途和满足感

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971762

Alexis Hiniker, Shwetak N. Patel, Tadayoshi Kohno, J. Kientz

{"title":"Why would you do that? predicting the uses and gratifications behind smartphone-usage behaviors","authors":"Alexis Hiniker, Shwetak N. Patel, Tadayoshi Kohno, J. Kientz","doi":"10.1145/2971648.2971762","DOIUrl":"https://doi.org/10.1145/2971648.2971762","url":null,"abstract":"While people often use smartphones to achieve specific goals, at other times they use them out of habit or to pass the time. Uses and Gratifications Theory explains that users' motivations for engaging with technology can be divided into instrumental and ritualistic purposes. Instrumental uses of technology are goal-directed and purposeful, while ritualistic uses are habitual and diversionary. In this paper, we provide an empirical account of the nature of instrumental vs. ritualistic use of smartphones based on data collected from 43 Android users over 2 weeks through logging application use and collecting ESM survey data about the purpose of use. We describe the phone-use behaviors users exhibit when seeking instrumental and ritualistic gratifications, and we develop a classification scheme for predicting ritualistic vs. instrumental use with an accuracy of 77% for a general model, increasing to more than 97% with a sliding confidence threshold. We discuss how such a model might be used to improve the experience of smartphone users in application areas such as recommender systems and social media.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130110437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 42

Human respiration detection with commodity wifi devices: do user location and body orientation matter? 商用wifi设备人体呼吸检测:用户位置和身体方向重要吗?

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971744

Hao Wang, Daqing Zhang, Junyi Ma, Yasha Wang, Yuxiang Wang, Dan Wu, Tao Gu, Bing Xie

{"title":"Human respiration detection with commodity wifi devices: do user location and body orientation matter?","authors":"Hao Wang, Daqing Zhang, Junyi Ma, Yasha Wang, Yuxiang Wang, Dan Wu, Tao Gu, Bing Xie","doi":"10.1145/2971648.2971744","DOIUrl":"https://doi.org/10.1145/2971648.2971744","url":null,"abstract":"Recent research has demonstrated the feasibility of detecting human respiration rate non-intrusively leveraging commodity WiFi devices. However, is it always possible to sense human respiration no matter where the subject stays and faces? What affects human respiration sensing and what's the theory behind? In this paper, we first introduce the Fresnel model in free space, then verify the Fresnel model for WiFi radio propagation in indoor environment. Leveraging the Fresnel model and WiFi radio propagation properties derived, we investigate the impact of human respiration on the receiving RF signals and develop the theory to relate one's breathing depth, location and orientation to the detectability of respiration. With the developed theory, not only when and why human respiration is detectable using WiFi devices become clear, it also sheds lights on understanding the physical limit and foundation of WiFi-based sensing systems. Intensive evaluations validate the developed theory and case studies demonstrate how to apply the theory to the respiration monitoring system design.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129787667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 348

Looking back on the current day: interruptibility prediction using daily behavioral features 回顾今天:使用日常行为特征的可中断性预测

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971649

M. Choy, Daehoon Kim, Jae-Gil Lee, Heeyoung Kim, H. Motoda

{"title":"Looking back on the current day: interruptibility prediction using daily behavioral features","authors":"M. Choy, Daehoon Kim, Jae-Gil Lee, Heeyoung Kim, H. Motoda","doi":"10.1145/2971648.2971649","DOIUrl":"https://doi.org/10.1145/2971648.2971649","url":null,"abstract":"When a person seeks another person's attention, it is of prime importance to assess how interruptible the other person is. Since smartphones are ubiquitously used as communication media these days, interruptibility prediction on smartphones has started to attract great interest from both academia and industry. Previous studies, in general, attempted to model interruptibility using the behaviors at the current moment and in the immediate past (e.g., 5 minutes before). However, a person's interruptibility at a certain moment is indeed affected by his/her preceding behaviors for several reasons. Motivated by this long-term effect, in this paper we propose a novel methodology of extracting features based on past behaviors from smartphone sensor data. The primary difference from previous studies is that we systematically consider a longer history of up to a day in addition to the current point and the immediate past. To represent behaviors in a day accurately and compactly, our methodology divides a day into multiple timeslots and then, for each timeslot, derives relevant features such as the temporal shapes of the time series of the sensor data. In order to verify the advantage of our methodology, we collected a data set of smartphone usage from 25 participants for four weeks and obtained a license to a large-scale public data set constructed from 907 users over approximately nine months. The experimental results on the two data sets show that looking back to the beginning of the current day improves prediction accuracy by up to 16% and 7%, respectively, compared with the baseline and state-of-the-art methods.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129849506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

WalkieLokie: sensing relative positions of surrounding presenters by acoustic signals WalkieLokie:通过声音信号感知周围演示者的相对位置

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971655

Wenchao Huang, Xiangyang Li, Yan Xiong, Panlong Yang, Yiqing Hu, Xufei Mao, Fuyou Miao, Baohua Zhao, Jumin Zhao

{"title":"WalkieLokie: sensing relative positions of surrounding presenters by acoustic signals","authors":"Wenchao Huang, Xiangyang Li, Yan Xiong, Panlong Yang, Yiqing Hu, Xufei Mao, Fuyou Miao, Baohua Zhao, Jumin Zhao","doi":"10.1145/2971648.2971655","DOIUrl":"https://doi.org/10.1145/2971648.2971655","url":null,"abstract":"In this paper, we propose and implement WalkieLokie, a novel acoustic-based relative positioning system. WalkieLokie facilitates a multitude of Augmented Reality (AR) applications: users with smart devices can passively acquire surrounding information in real time, similar to the commercial AR system Wikitude; the surrounding presenters, who want to share information or introduce themselves, can actively launch the function on demand. The key rational of WalkieLokie is that a user can perceive a series of spatial-related acoustic signals emitted from a presenter, which depicts the relation position between the user and the presenter. The proliferation of smart devices, together with the cheap accessory (e.g., dummy speaker) embedded in daily used items (e.g., smart clothes), paves the way for WalkieLokie applications. We design a novel algorithm to estimate the position and signal processing methods to support accurate positioning. The experiment results show that the mean error of ranging and direction estimation is 0.63m and 2.46 degrees respectively. Extensive experiments conducted in noisy environments validate the robustness of WalkieLokie.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120936878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

UniPass: design and evaluation of a smart device-based password manager for visually impaired users UniPass:为视障用户设计和评估一个基于智能设备的密码管理器

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971722

N. Barbosa, Jordan Hayes, Yang Wang

引用次数: 32

HemaApp: noninvasive blood screening of hemoglobin using smartphone cameras HemaApp:利用智能手机摄像头对血红蛋白进行无创血液筛查

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971653

E. Wang, William Li, Doug Hawkins, T. Gernsheimer, C. Norby-Slycord, Shwetak N. Patel

引用次数: 41

A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance 一个弱监督的实时合成生物学实验室辅助活动识别框架

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971716

Chandrashekhar Lavania, S. Thulasidasan, A. LaMarca, Jeffrey Scofield, J. Bilmes

引用次数: 9

Assessing social anxiety using gps trajectories and point-of-interest data 利用gps轨迹和兴趣点数据评估社交焦虑

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971761

Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip I. Chow, Karl C. Fua, B. Teachman, Laura E. Barnes

{"title":"Assessing social anxiety using gps trajectories and point-of-interest data","authors":"Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip I. Chow, Karl C. Fua, B. Teachman, Laura E. Barnes","doi":"10.1145/2971648.2971761","DOIUrl":"https://doi.org/10.1145/2971648.2971761","url":null,"abstract":"Mental health problems are highly prevalent and appear to be increasing in frequency and severity among the college student population. The upsurge in mobile and wearable wireless technologies capable of intense, longitudinal tracking of individuals, provide valuable opportunities to examine temporal patterns and dynamic interactions of key variables in mental health research. In this paper, we present a feasibility study leveraging non-invasive mobile sensing technology to passively assess college students' social anxiety, one of the most common disorders in the college student population. We have first developed a smartphone application to continuously track GPS locations of college students, then we built an analytic infrastructure to collect the GPS trajectories and finally we analyzed student behaviors (e.g. studying or staying at home) using Point-Of-Interest (POI). The whole framework supports intense, longitudinal, dynamic tracking of college students to evaluate how their anxiety and behaviors change in the college campus environment. The collected data provides critical information about how students' social anxiety levels and their mobility patterns are correlated. Our primary analysis based on 18 college students demonstrated that social anxiety level is significantly correlated with places students' visited and location transitions.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131180848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 87