{"title":"Understanding and Assessing the User Burden of Urden of Mobile Apps","authors":"J. Kientz, Hye-Ji Suh","doi":"10.1145/3191789.3191791","DOIUrl":"https://doi.org/10.1145/3191789.3191791","url":null,"abstract":"When evaluating the design of a mobile app, many designers focus on a number of varying metrics related to the user experience, namely its usability, look and feel, usefulness, and overall delight that users experience when using it. However, even the most usable, beautiful, and delightful application can have an impact on its user in a negative way. Have you ever thought about how the application might burden the user, even in light of these positive attributes? For example, maybe the game that you designed to be irresistibly engaging makes the user feel guilty about how much time she spends with it. Or consider how a food-tracking application, which allows the user to take photos of his food to monitor his diet, may violate his family rules about no phones at the dinner table. Perhaps the fitness tracker you've designed to help people be more active only serves to make them feel badly about themselves for not exercising after sustaining an injury.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"477 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132919025","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":"Bio-Behavioral Sensing: An Emerging Engineering Area","authors":"A. Sabharwal, A. Veeraraghavan","doi":"10.1145/3161587.3161591","DOIUrl":"https://doi.org/10.1145/3161587.3161591","url":null,"abstract":"There is now a significant body of evidence that links human behavior to human health and well-being. In fact, for some behaviors like smoking, the harm to health is so well documented that it has led to public health policies, such as banning smoking inside buildings. Similarly, there is also growing evidence documenting the health benefits of many behaviors, e.g., regular exercise and healthy eating. However, we are only beginning to understand the deep bi-directional connections between human behavior and biology, largely powered by the rapidly increasing body of knowledge from the field of behavioral epigenetics. Since 2000, an explosion of results are unraveling the two-way pathways of how our molecular biology influences our behavior and how our behavior influences our molecular biology","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122420325","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}
Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, F. Kashani, A. Halbower, Tam N. Vu
{"title":"LIBS: A Lightweight and Inexpensive In-Ear Sensing System for Automatic Whole-Night Sleep Stage Monitoring","authors":"Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, F. Kashani, A. Halbower, Tam N. Vu","doi":"10.1145/3161587.3161596","DOIUrl":"https://doi.org/10.1145/3161587.3161596","url":null,"abstract":"Excerpted from \"A Lightweight and Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring,â from ACM SenSys 2016, Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, with permission. http://dl.acm.org/citation.cfm?id=2994562 ACM 2016","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133913216","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}
Deepak Vasisht, Swarun Kumar, Hariharan Rahul, D. Katabi
{"title":"Eliminating Channel Feedback in Next-Generation Cellular Networks","authors":"Deepak Vasisht, Swarun Kumar, Hariharan Rahul, D. Katabi","doi":"10.1145/3161587.3161595","DOIUrl":"https://doi.org/10.1145/3161587.3161595","url":null,"abstract":"The high cost of cellular spectrum has motivated network providers to seek advanced MIMO techniques to improve spectral efficiency [2, 1]. Yet, only point-to-point MIMO multiplexing can be performed efficiently in current networks [3]. More advanced MIMO solutions, such as massive MIMO, coordinated multi-point, distributed MIMO, and multi-user MIMO, all require the base station to know the downlink channels prior to transmission. In the absence of this information, the base station cannot beamform its signal to its users","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128519529","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}
Vikram Iyer, V. Talla, Bryce Kellogg, Joshua R. Smith, Shyamnath Gollakota
{"title":"Inter-Technology Backscatter: Towards Internet Connectivity for Implanted Devices","authors":"Vikram Iyer, V. Talla, Bryce Kellogg, Joshua R. Smith, Shyamnath Gollakota","doi":"10.1145/3161587.3161597","DOIUrl":"https://doi.org/10.1145/3161587.3161597","url":null,"abstract":"We introduce inter-technology backscatter, a novel approach that transforms wireless transmissions from one technology to another, on the air. We show for the first time that Bluetooth transmissions can be used to create Wi-Fi and ZigBee-compatible signals using backscatter communication. Since Bluetooth, Wi-Fi and ZigBee radios are widely available, this enables a backscatter design that works using only commodity devices. We build an FPGA prototype that creates 2â11 Mbps Wi-Fi or Zigbee packets by backscattering Bluetooth transmissions. We use this to demonstrate previously infeasible applications including the first contact lens form-factor antenna prototype and implantable neural recording interface that communicate directly to commodity devices, such as smartphones, thus enabling the vision of Internet-connected implanted devices","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130962622","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}
Harini Kolamunna, Jagmohan Chauhan, Yining Hu, Kanchana Thilakarathna, Diego Perino, D. Makaroff, A. Seneviratne
{"title":"Are Wearables Ready for Secure and Direct Internet Communication?","authors":"Harini Kolamunna, Jagmohan Chauhan, Yining Hu, Kanchana Thilakarathna, Diego Perino, D. Makaroff, A. Seneviratne","doi":"10.1145/3161587.3161589","DOIUrl":"https://doi.org/10.1145/3161587.3161589","url":null,"abstract":"Recent advances in wearable technology tend towards standalone wearables. Most of today's wearable devices and applications still rely on a paired smartphone for secure Internet communication, even though many current generation wearables are equipped with Wi-Fi and 3G/4G network interfaces that provide direct Internet access. Yet it is not clear if such communication can be efficiently and securely supported through existing protocols. Our findings show that it is possible to use secure and efficient direct communication between wearables and the Internet","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125144045","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":"An Overview of 3GPP Cellular Vehicle-to-Everything Standards","authors":"Xuyu Wang, S. Mao, M. Gong","doi":"10.1145/3161587.3161593","DOIUrl":"https://doi.org/10.1145/3161587.3161593","url":null,"abstract":"With the growth of mobile data and devices, cellular networks have great potential to support various vehicular communication services for safety and non-safety applications. This paper presents an overview of the 3GPP cellular vehicle-to-everything (V2X) standards. We discuss various aspects of V2X standards, including types of V2X application support in 3GPP, requirements to support eV2X scenarios, different levels of automation, comparison of V2X and IEEE 802.11p, architecture, spectrum usage, and security and privacy for V2X services. Finally, we conclude this article with a review of typical V2X applications","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124632713","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":"HOW DO YOU KNOW IF 85% ACCURACY is good enough for your application?","authors":"Matthew Kay, Shwetak N. Patel, J. Kientz","doi":"10.1145/3131214.3131216","DOIUrl":"https://doi.org/10.1145/3131214.3131216","url":null,"abstract":"Many people who want to build mobile applications based on sensing systems have to decide what type of sensing approaches to use, often trading off factors like accuracy, time, and battery life. If you're building an app that uses location, motion data, or inferred data about usage, there will necessarily be inaccuracy in the output of those systems -- some error that cannot be completely eliminated from the system. In the ubiquitous computing community, there is an unofficial standard that 85% accuracy is \"good enough\" for sensing based on machine learning. But it's not so simple to say that 85% should be your target accuracy to consider a system useful. Maybe 85% accuracy is good enough for an app that helps you identify wasteful appliances so you can conserve water in your home, but is completely unacceptable when three times out of 20 your fall detection app accidentally calls emergency services thinking your loved one has fallen down even though she hasn't.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127194488","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}
Sha Zhao, Julian Ramos, Jianrong Tao, Ziwen Jiang, Shijian Li, Zhaohui Wu, Gang Pan, A. Dey
{"title":"WHO ARE THE SMARTPHONE USERS?: Identifying user groups with apps usage behaviors","authors":"Sha Zhao, Julian Ramos, Jianrong Tao, Ziwen Jiang, Shijian Li, Zhaohui Wu, Gang Pan, A. Dey","doi":"10.1145/3131214.3131224","DOIUrl":"https://doi.org/10.1145/3131214.3131224","url":null,"abstract":"Understanding smartphone users is fundamental for creating better smartphones, improving the smartphone usage experience, and generating generalizable and reproducible research. However, smartphone manufacturers and most of the mobile computing research community make a simplifying assumption that all smartphone users are similar or, at best, constitute a small number of user types, based on their behaviors. Manufacturers design phones for the broadest audience and hope they work for all users. Researchers mostly analyze data from smartphone-based user studies and report results without accounting for the many diff erent groups of people that make up the user base of smartphones. We challenge these elementary characterizations of smartphone users and show evidence of the existence of a much more diverse set of users. We analyzed one month of application usage from 106,762 Android users and discovered 382 distinct types of users based on their application usage behaviors, using our own two-step clustering and feature ranking selection approach, and gave a meaningful label to the users in each cluster, such as Screen Checkers and Young Parents. Our results have profound implications on the reproducibility and reliability of mobile computing studies, design and development of applications, determination of which apps should be pre-installed on a smartphone and, in general, on the smartphone usage experience for diff erent types of users.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114918567","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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