Yohan Chon, Suyeon Kim, Seungwoo Lee, Dongwon Kim, Yungeun Kim, H. Cha
Mobile sensing systems employ various sensors in smartphones to extract human-related information. As the demand for sensing systems increases, a more effective mechanism is required to sense information about human life. In this paper, we present a systematic study on the feasibility and gaining properties of a crowdsensing system that primarily concerns sensing WiFi packets in the air. We propose that this method is effective for estimating urban mobility by using only a small number of participants. During a seven-week deployment, we collected smartphone sensor data, including approximately four million WiFi packets from more than 130,000 unique devices in a city. Our analysis of this dataset examines core issues in urban mobility monitoring, including feasibility, spatio-temporal coverage, scalability, and threats to privacy. Collectively, our findings provide valuable insights to guide the development of new mobile sensing systems for urban life monitoring.
{"title":"Sensing WiFi packets in the air: practicality and implications in urban mobility monitoring","authors":"Yohan Chon, Suyeon Kim, Seungwoo Lee, Dongwon Kim, Yungeun Kim, H. Cha","doi":"10.1145/2632048.2636066","DOIUrl":"https://doi.org/10.1145/2632048.2636066","url":null,"abstract":"Mobile sensing systems employ various sensors in smartphones to extract human-related information. As the demand for sensing systems increases, a more effective mechanism is required to sense information about human life. In this paper, we present a systematic study on the feasibility and gaining properties of a crowdsensing system that primarily concerns sensing WiFi packets in the air. We propose that this method is effective for estimating urban mobility by using only a small number of participants. During a seven-week deployment, we collected smartphone sensor data, including approximately four million WiFi packets from more than 130,000 unique devices in a city. Our analysis of this dataset examines core issues in urban mobility monitoring, including feasibility, spatio-temporal coverage, scalability, and threats to privacy. Collectively, our findings provide valuable insights to guide the development of new mobile sensing systems for urban life monitoring.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91310243","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}
Yuuki Fukuzaki, N. Nishio, M. Mochizuki, Kazuya Murao
The authors have been developing the system, which analyzes pedestrian flow using Wi-Fi packet sensors. The sensors collect Wi-Fi packet called probe request packet, which is transmitted from a smartphone to search Wi-Fi access points. In addition, the cloud storage server is running to manage observed packets centrally and to compute pedestrian flow in real time. Additionally, user movement history is vitally important and we have to pay close attention to handling that kind of data. Therefore, the system runs with an anonymization method and a cryptographic function. Some kinds of demonstration experiments were held in real environment. As a result, it was confirmed that we can analyze the rough tendency of pedestrian flow using the present system and simple analysis methods.
{"title":"A pedestrian flow analysis system using Wi-Fi packet sensors to a real environment","authors":"Yuuki Fukuzaki, N. Nishio, M. Mochizuki, Kazuya Murao","doi":"10.1145/2638728.2641312","DOIUrl":"https://doi.org/10.1145/2638728.2641312","url":null,"abstract":"The authors have been developing the system, which analyzes pedestrian flow using Wi-Fi packet sensors. The sensors collect Wi-Fi packet called probe request packet, which is transmitted from a smartphone to search Wi-Fi access points. In addition, the cloud storage server is running to manage observed packets centrally and to compute pedestrian flow in real time. Additionally, user movement history is vitally important and we have to pay close attention to handling that kind of data. Therefore, the system runs with an anonymization method and a cryptographic function. Some kinds of demonstration experiments were held in real environment. As a result, it was confirmed that we can analyze the rough tendency of pedestrian flow using the present system and simple analysis methods.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87150368","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}
Sharing personal informatics data to social networking sites is a common and well-studied practice in both research and commercial applications, but there have been substantial mistakes and failures within this space that offer important lessons to application developers. We discuss three common types of failures salient in our own work, other research, and popular press stories. These failures surface important open questions to the field of personal informatics.
{"title":"Failures in sharing personal data on social networking sites","authors":"Daniel A. Epstein, J. Fogarty, Sean A Munson","doi":"10.1145/2638728.2641317","DOIUrl":"https://doi.org/10.1145/2638728.2641317","url":null,"abstract":"Sharing personal informatics data to social networking sites is a common and well-studied practice in both research and commercial applications, but there have been substantial mistakes and failures within this space that offer important lessons to application developers. We discuss three common types of failures salient in our own work, other research, and popular press stories. These failures surface important open questions to the field of personal informatics.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87280950","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}
{"title":"Session details: In the home","authors":"Shwetak N. Patel","doi":"10.1145/3255099","DOIUrl":"https://doi.org/10.1145/3255099","url":null,"abstract":"","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"88 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73553228","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}
Having a meal with conversation is regarded to have good effects. However, all the existing research assumed that all the participants have meals, whereas this assumption is not always true in reality. Conversation often takes place where a part of the participants have meals. To better understand co-dining conversation, we should also pay attention to this uneven meal distribution setting. Thus this research investigated face-to-face dyadic conversation on uneven meal distribution setting, focused on the difference between the participant with meal and the one without meal in particular. Conversation scenes that one participant has a meal were videotaped, and questionnaires were asked to fill out. From the analysis, it was found that attentive listening was often likely to emerge in uneven meal distribution setting.
{"title":"Naturalistic control of conversation by meal: induction of attentive listening attitude through uneven meal distribution in co-dining","authors":"T. Inoue","doi":"10.1145/2638728.2641341","DOIUrl":"https://doi.org/10.1145/2638728.2641341","url":null,"abstract":"Having a meal with conversation is regarded to have good effects. However, all the existing research assumed that all the participants have meals, whereas this assumption is not always true in reality. Conversation often takes place where a part of the participants have meals. To better understand co-dining conversation, we should also pay attention to this uneven meal distribution setting. Thus this research investigated face-to-face dyadic conversation on uneven meal distribution setting, focused on the difference between the participant with meal and the one without meal in particular. Conversation scenes that one participant has a meal were videotaped, and questionnaires were asked to fill out. From the analysis, it was found that attentive listening was often likely to emerge in uneven meal distribution setting.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"2015 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73900756","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}
Previous work on eye tracking and eye-based human-computer interfaces mainly concentrated on making use of the eyes in traditional desktop settings. With the recent growth of interest in smart glass devices and low-cost eye trackers, however, gaze-based techniques for mobile computing is becoming increasingly important. PETMEI 2014 focuses on the pervasive eye tracking paradigm as a trailblazer for mobile eye-based interaction and eye-based context-awareness. We want to stimulate and explore the creativity of these communities with respect to the implications, key research challenges, and new applications for pervasive eye tracking in ubiquitous computing. The long-term goal is to create a strong interdisciplinary research community linking these fields together and to establish the workshop as the premier forum for research on pervasive eye tracking.
{"title":"4th international workshop on pervasive eye tracking and mobile eye-based interaction","authors":"Thies Pfeiffer, S. Stellmach, Yusuke Sugano","doi":"10.1145/2638728.2641686","DOIUrl":"https://doi.org/10.1145/2638728.2641686","url":null,"abstract":"Previous work on eye tracking and eye-based human-computer interfaces mainly concentrated on making use of the eyes in traditional desktop settings. With the recent growth of interest in smart glass devices and low-cost eye trackers, however, gaze-based techniques for mobile computing is becoming increasingly important. PETMEI 2014 focuses on the pervasive eye tracking paradigm as a trailblazer for mobile eye-based interaction and eye-based context-awareness. We want to stimulate and explore the creativity of these communities with respect to the implications, key research challenges, and new applications for pervasive eye tracking in ubiquitous computing. The long-term goal is to create a strong interdisciplinary research community linking these fields together and to establish the workshop as the premier forum for research on pervasive eye tracking.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73354204","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}
Yuhwan Kim, Seungchul Lee, Inseok Hwang, Hyunho Ro, Youngki Lee, Miri Moon, Junehwa Song
Interpersonal touch is our most primitive social language strongly governing our emotional well-being. Despite the positive implications of touch in many facets of our daily social interactions, we find wide-spread caution and taboo limiting touch-based interactions in workplace relationships that constitute a significant part of our daily social life. In this paper, we explore new opportunities for ubicomp technology to promote a new meme of casual and cheerful interpersonal touch such as high-fives towards facilitating vibrant workplace culture. Specifically, we propose High5, a mobile service with a smartwatch-style system to promote high-fives in everyday workplace interactions. We first present initial user motivation from semi-structured interviews regarding the potentially controversial idea of High5. We then present our smartwatch-style prototype to detect high-fives based on sensing electric skin potential levels. We demonstrate its key technical observation and performance evaluation.
{"title":"High5: promoting interpersonal hand-to-hand touch for vibrant workplace with electrodermal sensor watches","authors":"Yuhwan Kim, Seungchul Lee, Inseok Hwang, Hyunho Ro, Youngki Lee, Miri Moon, Junehwa Song","doi":"10.1145/2632048.2632072","DOIUrl":"https://doi.org/10.1145/2632048.2632072","url":null,"abstract":"Interpersonal touch is our most primitive social language strongly governing our emotional well-being. Despite the positive implications of touch in many facets of our daily social interactions, we find wide-spread caution and taboo limiting touch-based interactions in workplace relationships that constitute a significant part of our daily social life. In this paper, we explore new opportunities for ubicomp technology to promote a new meme of casual and cheerful interpersonal touch such as high-fives towards facilitating vibrant workplace culture. Specifically, we propose High5, a mobile service with a smartwatch-style system to promote high-fives in everyday workplace interactions. We first present initial user motivation from semi-structured interviews regarding the potentially controversial idea of High5. We then present our smartwatch-style prototype to detect high-fives based on sensing electric skin potential levels. We demonstrate its key technical observation and performance evaluation.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74038936","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}
Today's abundance of cheap digital storage in the form of tiny memory cards put literally no bounds on the number of images one can capture with one's digital camera or camera phone during an event. However, studies have shown that taking many pictures may actually make us remember less of a particular event. In this position paper, we propose to re-introduce the paradigm of old film camera in the context of modern smartphones. The purpose is to investigate how users will behave when a significant capture limitation is imposed in a picture-taking context, and in what kind of pictures this will result. Ultimately, we are interested in the effect on memory recall of such a limitation, and describe a potential study setup that will help us explore this question.
{"title":"My good old kodak: understanding the impact of having only 24 pictures to take","authors":"E. Niforatos, Marc Langheinrich, Agon Bexheti","doi":"10.1145/2638728.2641715","DOIUrl":"https://doi.org/10.1145/2638728.2641715","url":null,"abstract":"Today's abundance of cheap digital storage in the form of tiny memory cards put literally no bounds on the number of images one can capture with one's digital camera or camera phone during an event. However, studies have shown that taking many pictures may actually make us remember less of a particular event. In this position paper, we propose to re-introduce the paradigm of old film camera in the context of modern smartphones. The purpose is to investigate how users will behave when a significant capture limitation is imposed in a picture-taking context, and in what kind of pictures this will result. Ultimately, we are interested in the effect on memory recall of such a limitation, and describe a potential study setup that will help us explore this question.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74279466","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}
C. Mancini, J. Linden, Gerd Kortuem, G. Dewsbury, Daniel Mills, P. Boyden
Whilst the ubicomp community has successfully embraced a number of societal challenges for human benefit, including healthcare and sustainability, the well-being of other animals is hitherto underrepresented. We argue that ubicomp technologies, including sensing and monitoring devices as well as tangible and embodied interfaces, could make a valuable contribution to animal welfare. This paper particularly focuses on dogs in kenneled accommodation, as we investigate the opportunities and challenges for a smart kennel aiming to foster canine welfare. We conducted an in-depth ethnographic study of a dog rehoming center over four months; based on our findings, we propose a welfare-centered framework for designing smart environments, integrating monitoring and interaction with information management. We discuss the methodological issues we encountered during the research and propose a smart ethnographic approach for similar projects.
{"title":"UbiComp for animal welfare: envisioning smart environments for kenneled dogs","authors":"C. Mancini, J. Linden, Gerd Kortuem, G. Dewsbury, Daniel Mills, P. Boyden","doi":"10.1145/2632048.2632073","DOIUrl":"https://doi.org/10.1145/2632048.2632073","url":null,"abstract":"Whilst the ubicomp community has successfully embraced a number of societal challenges for human benefit, including healthcare and sustainability, the well-being of other animals is hitherto underrepresented. We argue that ubicomp technologies, including sensing and monitoring devices as well as tangible and embodied interfaces, could make a valuable contribution to animal welfare. This paper particularly focuses on dogs in kenneled accommodation, as we investigate the opportunities and challenges for a smart kennel aiming to foster canine welfare. We conducted an in-depth ethnographic study of a dog rehoming center over four months; based on our findings, we propose a welfare-centered framework for designing smart environments, integrating monitoring and interaction with information management. We discuss the methodological issues we encountered during the research and propose a smart ethnographic approach for similar projects.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74573473","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}
Many cities suffer from noise pollution, which compromises people's working efficiency and even mental health. New York City (NYC) has opened a platform, entitled 311, to allow people to complain about the city's issues by using a mobile app or making a phone call; noise is the third largest category of complaints in the 311 data. As each complaint about noises is associated with a location, a time stamp, and a fine-grained noise category, such as "Loud Music" or "Construction", the data is actually a result of "human as a sensor" and "crowd sensing", containing rich human intelligence that can help diagnose urban noises. In this paper we infer the fine-grained noise situation (consisting of a noise pollution indicator and the composition of noises) of different times of day for each region of NYC, by using the 311 complaint data together with social media, road network data, and Points of Interests (POIs). We model the noise situation of NYC with a three dimension tensor, where the three dimensions stand for regions, noise categories, and time slots, respectively. Supplementing the missing entries of the tensor through a context-aware tensor decomposition approach, we recover the noise situation throughout NYC. The information can inform people and officials' decision making. We evaluate our method with four real datasets, verifying the advantages of our method beyond four baselines, such as the interpolation-based approach.
{"title":"Diagnosing New York city's noises with ubiquitous data","authors":"Yu Zheng, Tong Liu, Yilun Wang, Yanmin Zhu, Yanchi Liu, Eric Chang","doi":"10.1145/2632048.2632102","DOIUrl":"https://doi.org/10.1145/2632048.2632102","url":null,"abstract":"Many cities suffer from noise pollution, which compromises people's working efficiency and even mental health. New York City (NYC) has opened a platform, entitled 311, to allow people to complain about the city's issues by using a mobile app or making a phone call; noise is the third largest category of complaints in the 311 data. As each complaint about noises is associated with a location, a time stamp, and a fine-grained noise category, such as \"Loud Music\" or \"Construction\", the data is actually a result of \"human as a sensor\" and \"crowd sensing\", containing rich human intelligence that can help diagnose urban noises. In this paper we infer the fine-grained noise situation (consisting of a noise pollution indicator and the composition of noises) of different times of day for each region of NYC, by using the 311 complaint data together with social media, road network data, and Points of Interests (POIs). We model the noise situation of NYC with a three dimension tensor, where the three dimensions stand for regions, noise categories, and time slots, respectively. Supplementing the missing entries of the tensor through a context-aware tensor decomposition approach, we recover the noise situation throughout NYC. The information can inform people and officials' decision making. We evaluate our method with four real datasets, verifying the advantages of our method beyond four baselines, such as the interpolation-based approach.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74932357","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}
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