473,214 research outputs found
Inferring land use from mobile phone activity
Understanding the spatiotemporal distribution of people within a city is
crucial to many planning applications. Obtaining data to create required
knowledge, currently involves costly survey methods. At the same time
ubiquitous mobile sensors from personal GPS devices to mobile phones are
collecting massive amounts of data on urban systems. The locations,
communications, and activities of millions of people are recorded and stored by
new information technologies. This work utilizes novel dynamic data, generated
by mobile phone users, to measure spatiotemporal changes in population. In the
process, we identify the relationship between land use and dynamic population
over the course of a typical week. A machine learning classification algorithm
is used to identify clusters of locations with similar zoned uses and mobile
phone activity patterns. It is shown that the mobile phone data is capable of
delivering useful information on actual land use that supplements zoning
regulations.Comment: To be presented at ACM UrbComp201
Identification of Mobile Phone Usage's Shifting Among Students
This study aims to identify the use of mobile phones in SMAN 1 Pangalengan. The survey was conducted on 100 students. Data collection using a questionnaire. Data analysis uses quantitative descriptive methods. The results showed students tend to utilize social media such as Facebook, Instagram, and WhatsApp. Other uses for browsing, gaming, and entrepreneurship. Survey results show that 92% of students use WhatsApp to communicate and 82% of students use mobile phones to access social media. This shows the pattern of mobile phone use has shifted among students although basically, it does not change the main function
socialAWARE:mobile wireless sensing network
Abstract. This thesis presents a software tool for Android smartphones called socialAWARE, a mobile wireless sensing network. socialAWARE uses zeroconf networking to discover other mobile devices and their connection information on a local area network. It uses built-in mobile sensors to collect data and transmit it in real time using CoAP’s machine-to-machine protocol. SocialAWARE aims at helping users to quickly deploy a wireless sensor network without an emphasis in configuration or technical background.
socialAWARE is implemented as a plug-in for AWARE framework [1], which uses diverse protocols to enhance its capabilities. Together, socialAWARE plug-in and AWARE allows for data collection and real-time sharing of sensor data between different devices (LAMP server, smartwatch, Android, iOS). After the implementation of the plug-in, the performance of the protocols were evaluated by conducting several experiments. We also compare CoAP with MQTT with respect to their technical performance in terms of latency, throughput, and network usage. Based on the experimental results, we discuss the advantages and limitations of the system. Finally, we conclude this thesis by discussing a number of improvements for future iterations of socialAWARE, based on the literature survey and experiment results
Study on the Continuance Usage of Mobile Health Management Application based on Uses and Gratifications Theory
In order to examine the influence effect of uses and gratifications of mobile health services. A research model was developed to study the influence of users’ utility gratification, hedonic gratification and social gratification from the perspective of Uses and Gratifications theory. SPSS and Smart PLS were employed to verify the research hypotheses using the empirical data collected via survey questionnaires. Research results show that utility gratification, hedonic gratification and social gratification all exert significant and positive effects on users’ continuance usage intention. Especially, gratification of health management, perceived fantasy, social image play important roles in users’ uses and gratifications. Providers of Mobile health management application should design and take personalized operating strategies and marketing strategies according to different needs
Pengaruh Kepuasan Pelanggan, Citra Merek, Harga Dan Kualitas Produk Terhadap Loyalitas Pelanggan Pada Handphone Xiaomi Di Yogyakarta
The purpose of this study is to determine the effect of customer satisfaction, brand image, price, and product quality on consumer loyalty decisions on Xiaomi mobile phone in Yogyakarta. The population in this research is the user of Xiaomi mobile phone in Yogyakarta. While the sample in this study is the user of Xiaomi note 4. This study is using the primary data, the data obtained directly from the source. Primary data in this study is the answer from consumers who become respondents. In this study researcher used survey methods. Survey method is a research method implemented by taking samples from a population and using questionnaires. This study uses convenience sampling technique that is because of the ease of sampling. The results showed that the customer satisfaction, price, brand image and product quality significantly influence the customer loyalty on Xiaomi note 4 in Yogyakarta. These results indicate that customer satisfaction, price, brand image and product quality can create customer loyalty
A Comparative Study of Consumers’ Intention to Use Mobile Internet in USA, Russia and China
As the mobile Internet has been used explosively worldwide, the effects of cultural factors on mobile Internet usage have been an interesting issue. Cross-cultural studies on the mobile phone internet may improve our understanding of individuals\u27 attitude toward mobile phone internet in different countries and provide advantages for marketing of mobile internet services in different cultural contexts. This paper uses an extension model of Technology Acceptance Model (TAM) to provide the theoretical foundation for this study. The data was collected through a survey study of over 3000 consumer in 3 countries of USA, Russia and China. The findings present several insights into the position of mobile phone internet usage in the different market. Such insights allow mobile service providers and mobile markers to create more customized strategies to launch new internet based services or mobile marketing campaigns. This paper ends with both theoretical and practical implications and limitations of the study results
Aplikasi Survei Berbasis Android
Survey process in the field needs surveyor to writedown data manually on a paper. Manual data recording process will later be repeated to save it in the computer for a digital data. This process increases the possibility to have an error in the data input step from a handwritten data. Furthermore, there is a need to turn the survey data into a processed data for a decision making purpose by the survey administrator.Android is chosen as the mobile device platform in this thesis, because it is the most used platform in smartphones. Also, it answers the need of a surveyor in the field to easily carry the survey data. Server application uses Node.js framework to minimalize data process between platforms.There are two applications as the result, which are administrator web application and surveyor Android-based application. Web application is for creating, viewing, changing, deleting, and processing question and survey result data. Android-based application is to be used by specific surveyor in the field for answering many kinds of question types that is created in the web application
Studying Brand Equity in Terms of Beliefs Shaping Consumers’ Attitudes on Advertising through Mobile Phones
Any innovation creates new opportunities and in recent years, advertising has experienced radical changes due to technological progresses. Mobile phone is a type of such technological changes which has converted into an important advertising channel. Regarding such importance, present study is conducted to promote three aims. The first aim of this research is to identify beliefs which shape audiences’ attitudes on mobile advertising. The second aim is that this research evaluates the impact of those identified beliefs which shape an attitude on mobile advertising on a general attitude on advertising. The ultimate aim is to study the impact of the attitude on advertising on brand equity. Present study is a survey which uses questionnaire to collect data. To achieve the aims of this research, 384 users of Irancel’s products and services who were exposed by mobile advertising as the sample. To analyze data and to test research hypotheses and model, structural equation modeling (SEM) and confirmatory factor analysis (CFA) were used. Research findings show the significant impact of such beliefs as “being informative”, “good for economy”, “hedonism”, “annoyance factor”, “validity”, “personalization” and “permission” in mobile advertising on “attitude on advertising” and the significant impact of “attitude on mobile advertising” in “brand equity”. Keywords: Advertising, Mobile Advertising, Attitudes on Mobile Advertising, Brand Equit
Pengaruh Format Iklan Komparatif dan Non Komparatif terhadap Respon Kognitif dan Niat Perilaku
This research aimed to analyze the influence of comparative advertisement format and non comparative toward cognitive responses and behavioral intentions. In this research, the writer chooses the participants who used mobile cards XL Axiata (XL and Axis) in Special Region of Yogyakarta area. In analyzing the data, the writer uses the quantitative and experiment method conducted by survey. In this research, the writer uses questionnaire for collecting the data. The samples of this research are card mobile users of XL Axiata (XT and Axis) who live in Special Region of Yogyakarta area and fulfill criteria set by the researcher. The number of the samples in this research is 80 participants. The analysis tool in this research, the writer uses the analysis of independent sample t test, two ways anova dan simple regression.Some of the research findings are; there are difference influences between cognitive response of consumers who receive comparative advertising stimuli and noncomparative ads. Then there are average differences between the cognitive responses by stimuli comparative advertising/non-comparative and NFC low/high. The last, a cognitive response effects on consumer behavioral intentions
ConXsense - Automated Context Classification for Context-Aware Access Control
We present ConXsense, the first framework for context-aware access control on
mobile devices based on context classification. Previous context-aware access
control systems often require users to laboriously specify detailed policies or
they rely on pre-defined policies not adequately reflecting the true
preferences of users. We present the design and implementation of a
context-aware framework that uses a probabilistic approach to overcome these
deficiencies. The framework utilizes context sensing and machine learning to
automatically classify contexts according to their security and privacy-related
properties. We apply the framework to two important smartphone-related use
cases: protection against device misuse using a dynamic device lock and
protection against sensory malware. We ground our analysis on a sociological
survey examining the perceptions and concerns of users related to contextual
smartphone security and analyze the effectiveness of our approach with
real-world context data. We also demonstrate the integration of our framework
with the FlaskDroid architecture for fine-grained access control enforcement on
the Android platform.Comment: Recipient of the Best Paper Awar
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