J. Costa, François Guimbretière, Malte F. Jung, Tanzeem Choudhury
{"title":"BoostMeUp: A Smartwatch App to Regulate Emotions and Improve Cognitive Performance","authors":"J. Costa, François Guimbretière, Malte F. Jung, Tanzeem Choudhury","doi":"10.1145/3427384.3427393","DOIUrl":"https://doi.org/10.1145/3427384.3427393","url":null,"abstract":"In recent years, there has been a surge of interest in mobile applications and devices for emotion regulation. Examples include biofeedback devices and mobile applications that help users manage their stress [1][2]. These technologies are often designed to help users reflect on their past or current emotions or prompt users to perform specific tasks (e.g., deep breathing exercises). Despite the utility of these solutions, users are often unable to use them while performing certain tasks, such as during a job interview or public speech, since the technologies often require users to shift their attention away.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"12 28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116061829","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":"VoltJockey: Abusing the Processor Voltage to Break Arm TrustZone","authors":"Pengfei Qiu, Dongsheng Wang, Yongqiang Lyu, G. Qu","doi":"10.1145/3427384.3427394","DOIUrl":"https://doi.org/10.1145/3427384.3427394","url":null,"abstract":"30 Based on the concept of hardware separation, ARM introduced TrustZone to build a trusted execution environment for applications. It has been quite successful in defending against various software attacks and forcing attackers to explore vulnerabilities in interface designs and side channels. In this article, we propose an innovative software-controlled hardware fault-based attack, VoltJockey, on multi-core processors that adopt dynamic voltage and frequency scaling (DVFS) techniques for energy efficiency. We deliberately manipulate the processor voltage via DVFS to induce hardware faults into the victim cores, and therefore breaking TrustZone. The entire attack process is based on software without any involvement of hardware, which makes VoltJockey stealthy and hard to prevent. We implement VoltJockey on an ARMbased processor from a commodity Android phone and demonstrate how to reveal the AES key from TrustZone and how to breach the RSA-based TrustZone authentication. These results suggest that VoltJockey has a comparable efficiency to side channels in obtaining TrustZone-guarded credentials, as well as the potential of bypassing the RSA-based verification to load untrusted applications into TrustZone. [HIGHLIGHTS]","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114605090","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}
Nam Bui, Nhat Pham, Anh-Hoang Truong, Phuc Nguyen, Jianliang Xiao, R. Deterding, Thang N. Dinh
{"title":"eBP: Frequent and Comfortable Blood Pressure Monitoring from Inside Human's Ears","authors":"Nam Bui, Nhat Pham, Anh-Hoang Truong, Phuc Nguyen, Jianliang Xiao, R. Deterding, Thang N. Dinh","doi":"10.1145/3400713.3400721","DOIUrl":"https://doi.org/10.1145/3400713.3400721","url":null,"abstract":"Diagnosing hypertension or hemodialysis requires patients to carry a blood pressure (BP) monitoring device for 24 hours. Th erefore, wearing the wrist/arm-based BP monitoring device, in this case, has a signifi cant impact on users' daily activities. To address the problem, we developed eBP, an ear-worn device that measures blood pressure from inside the ear. Th rough the evaluation of 35 subjects, eBP can achieve the average error of 1.8 mmHg for systolic BP and -3.1 mmHg for diastolic BP with the standard deviation error of 7.2 mmHg and 7.9 mmHg, respectively.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114006997","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}
Julian Steil, Marc Tonsen, Yusuke Sugano, A. Bulling
{"title":"InvisibleEye: Fully Embedded Mobile Eye Tracking Using Appearance-Based Gaze Estimation","authors":"Julian Steil, Marc Tonsen, Yusuke Sugano, A. Bulling","doi":"10.1145/3372300.3372307","DOIUrl":"https://doi.org/10.1145/3372300.3372307","url":null,"abstract":"Despite their potential for a range of exciting new applications, mobile eye trackers suffer from several fundamental usability problems. InvisibleEye is an innovative approach for mobile eye tracking that uses millimeter-size RGB cameras, which can be fully embedded into normal glasses frames, as well as appearancebased gaze estimation to directly estimate gaze from the eye images. Through evaluation on three large-scale, increasingly realistic datasets, we show that InvisibleEye can achieve a person-specific gaze estimation accuracy of up to 2.04° using three camera pairs with a resolution of only 3x3 pixels.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133731182","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":"ONLINE SOCIAL NETWORKS TO FOSTER LONG-TERM WELFARE","authors":"Abhijnan Chakraborty, Niloy Ganguly","doi":"10.1145/3372300.3372302","DOIUrl":"https://doi.org/10.1145/3372300.3372302","url":null,"abstract":"The rise of Online Social Networks (OSNs) and their growing complexities have had dramatic effects in real life: due to their popularity and ubiquitous coverage, they are a major tool today to spread crucial news and vital information across remote areas of the world. Such increasing availability has unearthed a large volume of usergenerated content, consisting of user opinion as well as factual content that often does not appear in mainstream media, but captures the persistent attention of a huge section of the population.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133757629","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":"CONTINUOUS AND PASSIVE BLOOD PRESSURE MONITORING THROUGHOUT THE DAY AND NIGHT","authors":"Christian Holz","doi":"10.1145/3372300.3372306","DOIUrl":"https://doi.org/10.1145/3372300.3372306","url":null,"abstract":"Monitoring blood pressure serves as a significant indicator for assessing a person's health. In particular, blood volume and arterial blood pressure as the conjunction of arterial resistance and cardiac output represent a critical signal in the evaluation of a person's cardiovascular system. While in-clinic blood pressure monitoring remains the cornerstone of hypertension management, at-home monitoring can give a more complete picture of heart health and can potentially detect masked hypertension, which is only evident outside the clinic [6].","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115202011","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":"EXPERIMENTAL SUPPLEMENTS From Mobile Tools for Cognitive Introspection Towards Cognitive Augmentation","authors":"Olivier Augereau, K. Kunze, K. Kise","doi":"10.1145/3372300.3372305","DOIUrl":"https://doi.org/10.1145/3372300.3372305","url":null,"abstract":"In an increasingly interconnected world with more and more technology surrounding us, more and more people end up with psychological and mental health issues. Mobile Computing technologies is often introduced into society without knowing about impact and consequences. We need new mobile tools for everyday life to better manage our attention and give us introspection into our cognitive self. There are patterns in human physiological signals (facial expressions, heart rate, nasal temperature, eye movements, blinking, etc.) that can reveal information about cognitive functions of individuals and groups.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121548940","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":"UNDERSTANDING AFFECTIVE DYNAMICS OF LEARNING TOWARD A UBIQUITOUS LEARNING SYSTEM","authors":"V. Mandalapu, Jiaqi Gong","doi":"10.1145/3372300.3372303","DOIUrl":"https://doi.org/10.1145/3372300.3372303","url":null,"abstract":"Understanding student learning behaviors is of prime importance for educational research. Many complex factors influence learning processes, but one collective impact of all these factors is how they affect learning and the degree of motivation. In this study, we discuss the current state of human affect detection in education, our proposed affect change model and its implications. This study adopts dataset from ASSISTments online learning platform, which consists of student interaction data, and ground truth labels for affect states coded by Baker Rodrigo Ocumpaugh Monitoring Protocol (BROMP) certified coders to develop and validate the affect change model. We show that the proposed affect change model in combination with the adoption of machine learning algorithms will support the development of a ubiquitous learning system that tracks the student learning process within the context of contributing factors and provide interventions when needed.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122273807","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}
A. Kline, Catalin Voss, P. Washington, N. Haber, J. Schwartz, Qandeel Tariq, T. Winograd, C. Feinstein, D. Wall
{"title":"SUPERPOWER GLASS","authors":"A. Kline, Catalin Voss, P. Washington, N. Haber, J. Schwartz, Qandeel Tariq, T. Winograd, C. Feinstein, D. Wall","doi":"10.1145/3372300.3372308","DOIUrl":"https://doi.org/10.1145/3372300.3372308","url":null,"abstract":"Autism Spectrum Disorder (ASD) is quickly becoming a global health crisis estimated to affect one in 40 children in the United States [8]. ASD consists of social deficiencies, such as impaired communication, eye contact, facial expression recognition, and social interaction. The current standard of care, applied behavioral analysis (ABA), relies on teaching these skills primarily in clinical environments with tools such as static flashcards. Such tools are largely removed from real world emotional contexts. While ABA can lead to improvements [1, 2], the therapy often generalizes poorly to situations that extend beyond the routines practiced in clinical contexts [3]. Furthermore, access to such treatment is constrained by the availability of therapists, who struggle to keep up with the increasing demand for care.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124668518","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":"ZERO-INTERACTION SECURITY-TOWARDS SOUND EXPERIMENTAL VALIDATION","authors":"Mikhail Fomichev, Max Maass, M. Hollick","doi":"10.1145/3372300.3372304","DOIUrl":"https://doi.org/10.1145/3372300.3372304","url":null,"abstract":"Reproducibility and realistic datasets are crucial for advancing research. Unfortunately, they are often neglected as valid scientific contributions in many young disciplines, with computer science being no exception. In this article, we show the challenges encountered when reproducing the work of others, collecting realistic data in the wild, and ensuring that our own work is reproducible in turn. The presented findings are based on our study investigating the limits of zero-interaction security (ZIS)- a novel concept, leveraging sensor data collected by Internet of Things (IoT) devices to pair or authenticate devices. In particular, we share our experiences in reproducing five state-of-the-art ZIS schemes, collecting a comprehensive dataset of sensor data from the real world, evaluating these schemes on the collected data, and releasing the data, code, and documentation to facilitate reproducibility of our results.","PeriodicalId":213775,"journal":{"name":"GetMobile Mob. Comput. Commun.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129721813","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}