Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing最新文献_第3页

CityProphet: city-scale irregularity prediction using transit app logs CityProphet:使用交通应用程序日志进行城市规模的不规则预测

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971718

Tatsuya Konishi, Mikiya Maruyama, K. Tsubouchi, M. Shimosaka

{"title":"CityProphet: city-scale irregularity prediction using transit app logs","authors":"Tatsuya Konishi, Mikiya Maruyama, K. Tsubouchi, M. Shimosaka","doi":"10.1145/2971648.2971718","DOIUrl":"https://doi.org/10.1145/2971648.2971718","url":null,"abstract":"Thanks to the recent popularity of GPS-enabled mobile phones, modeling people flow or population dynamics is attracting a great deal of attention. Advances in methods where regular population patterns with respect to factors such as holidays or weekdays are extracted have provided successful results in irregularity detection. With large-scale crowded events such as fireworks, it is crucial that there be enough time to take countermeasures against the irregular congestion, i.e., irregularity prediction. It remains a tough challenge to predict population from GPS trace logs with existing methods. To tackle this problem, we focus here on route search logs, since aggregation of the location-oriented queries of individual plans serves as a mirror of short-term city-scale events, in contrast to GPS mobility logs. This paper presents a brand new framework for city-scale event prediction: CityProphet. By our observation of data where the route search logs related to a future event are in most cases repeatable and accumulated in proportion as the event draws near, we are able to leverage the divergence between the above two properties to predict city-scale irregular events. We demonstrate through experiments using the transit app logs of over 370 million queries that our approach can successfully predict city-scale crowded events one week in advance.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"6 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":"129433862","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: 43

Interactive worker assistance: comparing the effects of in-situ projection, head-mounted displays, tablet, and paper instructions 互动式工作人员协助:比较现场投影、头戴式显示器、平板电脑和纸质指示的效果

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971706

Markus Funk, T. Kosch, A. Schmidt

{"title":"Interactive worker assistance: comparing the effects of in-situ projection, head-mounted displays, tablet, and paper instructions","authors":"Markus Funk, T. Kosch, A. Schmidt","doi":"10.1145/2971648.2971706","DOIUrl":"https://doi.org/10.1145/2971648.2971706","url":null,"abstract":"With increasing complexity of assembly tasks and an increasing number of product variants, instruction systems providing cognitive support at the workplace are becoming more important. Different instruction systems for the workplace provide instructions on phones, tablets, and head-mounted displays (HMDs). Recently, many systems using in-situ projection for providing assembly instructions at the workplace have been proposed and became commercially available. Although comprehensive studies comparing HMD and tablet-based systems have been presented, in-situ projection has not been scientifically compared against state-of-the-art approaches yet. In this paper, we aim to close this gap by comparing HMD instructions, tablet instructions, and baseline paper instructions to in-situ projected instructions using an abstract Lego Duplo assembly task. Our results show that assembling parts is significantly faster using in-situ projection and locating positions is significantly slower using HMDs. Further, participants make less errors and have less perceived cognitive load using in-situ instructions compared to HMD instructions.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"32 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":"128648659","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: 160

Domain adaptation methods for improving lab-to-field generalization of cocaine detection using wearable ECG 改进可穿戴ECG可卡因检测实验室到现场泛化的领域自适应方法

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971666

A. Natarajan, G. Angarita, Edward Gaiser, R. Malison, Deepak Ganesan, Benjamin M Marlin

引用次数: 31

Probing the interconnections between geo-exploration and information exploration behavior 探讨地质勘探与信息勘探行为之间的联系

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971694

Dongho Choi, C. Shah, Vivek K. Singh

引用次数: 9

Emotion technology, wearables, and surprises 情感技术、可穿戴设备和惊喜

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2990469

Rosalind W. Picard

引用次数: 2

Shining (blue) light on creative ability 在创造能力上闪耀着(蓝色)光芒

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971751

Saeed Abdullah, M. Czerwinski, G. Mark, Paul Johns

引用次数: 17

TalkLIME: mobile system intervention to improve parent-child interaction for children with language delay TalkLIME:移动系统干预，改善语言迟缓儿童的亲子互动

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971650

Seokwoo Song, Seungho Kim, John Kim, Wonjeong Park, Dongsun Yim

{"title":"TalkLIME: mobile system intervention to improve parent-child interaction for children with language delay","authors":"Seokwoo Song, Seungho Kim, John Kim, Wonjeong Park, Dongsun Yim","doi":"10.1145/2971648.2971650","DOIUrl":"https://doi.org/10.1145/2971648.2971650","url":null,"abstract":"Parent-training is commonly used to support intervention of children with language delay. Unfortunately, parents find it difficult to apply the training to their child in everyday life and often give up on their parent-child interaction. In this work, we propose and evaluate TalkLIME -- a mobile system that provides real-time feedback to improve the parent-child interaction and reinforce parent-training intervention. We first conduct a survey to understand parents' feedback preference for the mobile system and determine that a non-invasive feedback using the mobile phones screen is preferable. TalkLIME was developed to provide real-time feedback through the mobile phone screen while also providing motivation to the parents to consistently continue parent-child interaction through both short-term and long-term goals. A six-weeks user study was conducted with eight parents and their children with language delay. Our results show that the experimental group who used TalkLIME showed a significant improvement in the child's initiation ratio, an important metric in the language development of children.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"101 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":"116916754","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

In-situ investigation of notifications in multi-device environments 多设备环境下通知的现场调查

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971732

Dominik Weber, Alexandra Voit, Philipp Kratzer, N. Henze

引用次数: 60

AirSense: an intelligent home-based sensing system for indoor air quality analytics AirSense:用于室内空气质量分析的智能家庭传感系统

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971720

Biyi Fang, Qiumin Xu, Taiwoo Park, Mi Zhang

{"title":"AirSense: an intelligent home-based sensing system for indoor air quality analytics","authors":"Biyi Fang, Qiumin Xu, Taiwoo Park, Mi Zhang","doi":"10.1145/2971648.2971720","DOIUrl":"https://doi.org/10.1145/2971648.2971720","url":null,"abstract":"In the U.S., people spend approximately 90 percent of their time indoors. Unfortunately, indoor air quality (IAQ) may be two to five times worse than the air outdoors, and is often overlooked. Existing IAQ monitoring technologies focus on IAQ measurements and visualization. However, the lack of information about the pollution sources as well as the seriousness of the pollution makes people feel powerless and frustrated, resulting in the ignorance of the polluted air at their homes. In this work, we fill this critical gap by presenting AirSense, an intelligent home-based IAQ sensing system that is able to automatically detect pollution events, identify pollution sources, estimate personal exposure to indoor air pollution, and provide actionable suggestions to help people improve IAQ. We have deployed AirSense at five homes to evaluate its performance and investigate how users interact with it. We demonstrate that AirSense can accurately detect pollution events, identify pollution sources, and forecast IAQ information within five minutes in both controlled and real-world settings. We further show the great potential of AirSense in increasing users' awareness of IAQ and helping them better manage IAQ at their homes.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"12 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":"117353751","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: 47

SpotGarbage: smartphone app to detect garbage using deep learning SpotGarbage:使用深度学习检测垃圾的智能手机应用程序

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pub Date : 2016-09-12 DOI: 10.1145/2971648.2971731

Gaurav Mittal, Kaushal B. Yagnik, Mohit Garg, N. C. Krishnan

引用次数: 169