Mina Sakamura, Takuro Yonezawa, J. Nakazawa, K. Takashio, H. Tokuda
{"title":"LiPS: linked participatory sensing for optimizing social resource allocation","authors":"Mina Sakamura, Takuro Yonezawa, J. Nakazawa, K. Takashio, H. Tokuda","doi":"10.1145/2638728.2641286","DOIUrl":"https://doi.org/10.1145/2638728.2641286","url":null,"abstract":"This paper proposes a concept of linked participatory sensing, called LiPS, that divide a complex sensing task into small tasks and link each other to optimize social resource allocation. Recently participatory sensing have been spreading, but its sensing tasks are still very simple and easy for participants to deal with (e.g. Please input the number of people standing in a queue. etc.). To adapt to high-level tasks which require specific skills such as those in engineering, the medical profession or authority such as the organizer of the event, we need to optimize social resource allocation because the number of such professionals are limited. To achieve the complex sensing tasks efficiently, LiPS enables to divide a complex sensing task into small tasks and link each other by assigning proper sensors. LiPS can treat physical sensors and human as hybrid multi-level sensors, and task provider can arrange social resource allocation for the goal of each divided sensing task. In this paper, we describe the design and development of the LiPS system. We also implemented an in-lab experiment as the first prototype of hybrid sensing system and discussed the model of further system through users' feedback.","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":"78382094","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":"Logmusic: context-based social music recommendation service on mobile device","authors":"Mirim Lee, Jun-Dong Cho","doi":"10.1145/2638728.2638749","DOIUrl":"https://doi.org/10.1145/2638728.2638749","url":null,"abstract":"Our choice of music in a daily life is greatly affected by our current mood and suggestions by others. We believe that people experience similar mood changes facing similar changes in weather, temperature, time, and location, and for this we suggest a service we named 'Logmusic', a context-based social music recommendation service. Using a prototype version, we performed a pilot test in order to determine if the hypothesis is valid. To conclude, songs recommended through this system scored significantly higher on both preference and appropriateness than randomly selected songs or popular songs. This service is expected to enhance user's music experience and promote sense of unity among users, and contribute to build unique cultures within local communities.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78602919","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":"Detecting traffic congestions using cell phone accelerometers","authors":"Mingqi Lv, Daqiang Zhang, Ling Chen, Gencai Chen","doi":"10.1145/2638728.2638744","DOIUrl":"https://doi.org/10.1145/2638728.2638744","url":null,"abstract":"In this paper, we propose a system that detects traffic congestions by using cell phone accelerometers, which have many advantages (e.g. energy-efficient, unobtrusive, impervious to environmental noise, etc.). However, it is challenging to extract well-targeted and accurate features (e.g. speed) for detecting traffic congestions in a complex daily-living environment using a single cell phone accelerometer. The proposed system comprises a vehicular movement detection module, and a module for likelihood estimation of traffic congestions. Experimental results based on real datasets have demonstrated the effectiveness of the proposed system.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78712671","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}
Tim Coughlan, R. Comber, R. Mortier, T. Plötz, V. Mitchell
{"title":"HomeSys 2014","authors":"Tim Coughlan, R. Comber, R. Mortier, T. Plötz, V. Mitchell","doi":"10.1145/2638728.2641546","DOIUrl":"https://doi.org/10.1145/2638728.2641546","url":null,"abstract":"HomeSys 2014 will provide an insightful and constructive setting for the growing community of researchers studying ubiquitous technology in domestic spaces. Homes have been a consistent setting for ubiquitous computing research and development. This continues to evolve, reflecting the spread of computing into ever more of the fabric of our everyday lives. Inspired by the success of HomeSys at previous UbiComp conferences, a new organising team will arrange a balance of presentations, panel and whole room discussions, and an interactive session to explore the challenges currently facing ubiquitous computing in the home. Through this, HomeSys can continue to support reflection and development in home-based ubiquitous computing research across disciplines, act as a companion to the main UbiComp conference, strengthen existing networks, and produce new collaborations and outcomes","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"355 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76920295","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":"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
{"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}
{"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}
K. Vishal, Romil Bansal, A. Namboodiri, C. V. Jawahar
{"title":"Providing services on demand by user action modeling on smart phones","authors":"K. Vishal, Romil Bansal, A. Namboodiri, C. V. Jawahar","doi":"10.1145/2638728.2638779","DOIUrl":"https://doi.org/10.1145/2638728.2638779","url":null,"abstract":"We propose a novel approach to schedule services like Wi-Fi and 3G on smartphones. Using Wi-Fi as an example, we show that intelligent scheduling based on a user's activity level leads to lower power consumption without adversely affecting the user experience. Data from various sensors is used to model and predict a user's activity, which is then used to schedule the wireless services.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75395421","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":"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}
{"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}