The brain in your pocket: Evidence that Smartphones are used to supplant thinking

With the advent of Smartphone technology, access to the internet and its associated knowledge base is at one’s fingertips. What consequences does this have for human cognition? We frame Smartphone use as an instantiation of the extended mind—the notion that our cognition goes beyond our brains—and in so doing, characterize a modern form of cognitive miserliness. Specifically, that people typically forego effortful analytic thinking in lieu of fast and easy intuition suggests that individuals may allow their Smartphones to do their thinking for them. Our account predicts that individuals who are relatively less willing and/or able to engage effortful reasoning processes may compensate by relying on the internet through their Smartphones. Across three studies, we find that those who think more intuitively and less analytically when given reasoning problems were more likely to rely on their Smartphones (i.e., extended mind) for information in their everyday lives. There was no such association with the amount of time using the Smartphone for social media and entertainment purposes, nor did boredom proneness qualify any of our results. These findings demonstrate that people may offload thinking to technology, which in turn demands that psychological science understand the meshing of mind and media to adequately characterize human experience and cognition in the modern era.     

基于Smartphone的嵌入式应用程序开发初探

智能手机发展迅速，基于智能手机的应用程序开发也逐渐多起来，本文主要介绍Microsoft的Smartphone智能手机平台．以及基于此平台使用Visual Studio．NET进行应用程序的开发的方法。     

手机智能化和移动互联网对电信运营商的影响分析

随着技术的进步,智能手机逐渐成为主流,快速发展的移动互联网给整个通信行业都带来了很多影响。文章基于近几年智能手机的发展情况,分析智能手机未来的发展趋势及产业链的不同参与者如何参与到新的商业模式,最后提出运营商的应对措施。     

Implications of smartphone user privacy leakage from the advertiser’s perspective

Many smartphone apps routinely gather various private user data and send them to advertisers. Despite recent study on protection mechanisms and analysis on apps’ behavior, the understanding of the consequences of such privacy losses remains limited. In this paper, we investigate how much an advertiser can infer about users’ social and community relationships. After one month’s user study involving about 190 most popular Android apps, we find that an advertiser can infer 90% of the social relationships. We further propose a privacy leakage inference framework and use real mobility traces and Foursquare data to quantify the consequences of privacy leakage. We find that achieving 90% inference accuracy of the social and community relationships requires merely 3 weeks’ user data. Finally, we present a real-time privacy leakage visualization tool that captures and displays the spatial–temporal characteristics of the leakages. The discoveries underscore the importance of early adoption of privacy protection mechanisms.     

The impact of type of content use on smartphone addiction and academic performance: Physical activity as moderator

Smartphone addiction and its negative effects on academic performance have received attention from both scholars and practitioners. The gist of this study is to explore the impact of the type of content use on smartphone addiction and academic performance by considering physical activity as a potential moderator. The data were gathered from 250 undergraduate students and statistically analysed using the partial least squares structural equation modelling technique. The results show that entertainment, social networking sites, and game-related use have positive effects on smartphone addiction. Although study-related use has a positive effect on academic performance, game-related use has a negative effect. Furthermore, physical activity moderates negatively the impact of game-related use on academic performance. The results extend the literature on smartphone addiction by introducing physical activity as a preventive factor and will be useful for policymakers and parents to understand the importance of developing and promoting physical activity among young adults.     

一种智能手机上下文信息获取的代价模型及其应用

随着信息技术的发展和应用需求的增长,智能手机中嵌入了各种传感器和网络接口,它们是获取上下文信息,进而构建智能型移动应用的关键。尽管在智能手机中获取上下文信息的代价很大,但是这种代价却通常被移动应用开发者所忽视。提出了一个上下文信息获取的代价模型,它能对上下文信息获取的代价进行度量。设计并实现了一个上下文信息获取代价模型的测量工具CRCTest,并对Android智能手机的代价模型进行了测量。基于测量得到的Android平台上下文信息获取的代价模型实现了一个应用实例,通过对比两种位置上下文信息生成方式的代价,说明了基于代价模型优化设计上下文获取的可行性。     

基于Smartphone的服务器辅助RSA密钥生成*

基于Cao等人最近提出的一个能抵抗合谋攻击的服务器辅助RSA密钥生成协议,利用.NET Compact Framework平台上的Windows Mobile Smartphone对该协议进行了实现。对协议实现的方案、通信中的数据传输以及关键算法的选择与优化等进行了阐述。考虑了程序的复用性、可维护性、执行效率以及协议运行的可靠性,并且在服务器端采用了多线程处理机制来辅助多个客户端计算。     

Smartphone User Authentication Based on Holding Position and Touch-Typing Biometrics

In this advanced age, when smart phones are the norm, people utilize social networking, online shopping, and even private information storage through smart phones. As a result, identity authentication has become the most critical security activity in this period of the intelligent craze. By analyzing the shortcomings of the existing authentication methods, this paper proposes an identity authentication method based on the behavior of smartphone users. Firstly, the sensor data and touch-screen data of the smart phone users are collected through android programming. Secondly, the eigenvalues of this data are extracted and sent to the server. Thirdly, the Support Vector Machine (SVM) and Recurrent Neural Network (RNN) are introduced to train the collected data on the server end, and the results are finally yielded by the weighted average. The results show that the method this paper proposes has great FRR (False Reject Rate) and FAR (False Accept Rate).     

iFrame: Dynamic indoor map construction through automatic mobile sensing

Many pervasive computing applications depend upon maps for support of location based services. Individuals can determine their location outdoors on these maps via GPS. Indoor pervasive applications may also need to know the layout of buildings, however indoor maps are less prevalent. This paper presents iFrame, a dynamic approach that leverages existing mobile sensing capabilities for constructing indoor floor plans. We explore how iFrame users may collaborate and contribute to constructing 2-dimensional indoor maps by merely carrying smartphones. A deployment study shows iFrame is an unattended approach that provides a skeleton map of a real building effectively and automatically.