Supporting Inclusive Design of Mobile Devices with a Context Model

A Contextual Data Offloading Service With Privacy Support

10.5753/webmedia_estendido.2019.8133 ◽

2019 ◽

Author(s):

Francisco Gomes ◽

Lincoln Rocha ◽

Fernando Trinta

Keyword(s):

Mobile Devices ◽

Mobile Device ◽

Context Aware ◽

Computational Power ◽

Context Model ◽

Data Offloading ◽

Contextual Data ◽

Data History ◽

Remote Environment ◽

The Impact

Mobile and context-aware applications are now a reality thanks to the increased capabilities of mobile devices. In the last twenty years, researchers had proposed several software infrastructures to help the development of context-aware applications. We verified that most of them do not store contextual data history and that few of these infrastructures take into account the privacy of contextual data. This article presents a service named COP (Contextual data Offloading service with Privacy support) to mitigate these problems. Its foundations are: (i) a context model; (ii) a privacy policies; and (iii) a list of synchronization policies. The COP aims at storing and processing the contextual data generated from several mobile devices, using the computational power of the cloud. We have implemented one experiment evaluated the impact of contextual filter processing in the mobile device and the remote environment. In this experiment, we measured the processing time and the energy consumption of COP approach. The analysis detected that the migration of data from mobile device to a remote environment is advantageous.

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Infrastructures for Development of Context-Aware Mobile Applications

Handbook of Research on Mobility and Computing ◽

10.4018/978-1-60960-042-6.ch067 ◽

2011 ◽

pp. 1104-1118

Author(s):

Hugo Feitosa de Figueirêdo ◽

Tiago Eduardo da Silva ◽

Anselmo Cardoso de Paiva ◽

José Eustáquio Rangel de Queiroz ◽

Cláudio De Souza Baptista

Keyword(s):

Mobile Devices ◽

Mobile Applications ◽

Contextual Information ◽

Wireless Networking ◽

Context Aware ◽

Context Model ◽

Technological Advances ◽

Communication Method ◽

Context Aware System

Context-aware mobile applications are becoming popular, as a consequence of the technological advances in mobile devices, sensors and wireless networking. Nevertheless, developing a context-aware system involves several challenges. For example, what will be the contextual information, how to represent, acquire and process this information and how it will be used by the system. Some frameworks and middleware have been proposed in the literature to help programmers to overcome these challenges. Most of the proposed solutions, however, neither have an extensible ontology-based context model nor uses a communication method that allows a better use of the potentialities of the models of this kind.

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A Data Leakage Prevention Method Based on the Reduction of Confidential and Context Terms for Smart Mobile Devices

Wireless Communications and Mobile Computing ◽

10.1155/2018/5823439 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 13

Author(s):

Xiang Yu ◽

Zhihong Tian ◽

Jing Qiu ◽

Feng Jiang

Keyword(s):

Mobile Devices ◽

Early Data ◽

High Dimensionality ◽

Graph Structure ◽

Context Model ◽

Text Data ◽

Prevention Method ◽

Smart Mobile ◽

Cluster Graph ◽

Smart Mobile Devices

Early data leakage protection methods for smart mobile devices usually focus on confidential terms and their context, which truly prevent some kinds of data leakage events. However, with the high dimensionality and redundancy of text data, it is difficult to detect the documents which contain confidential contents accurately. Our approach updates cluster graph structure based on CBDLP (Data Leakage Protection Based on Context) model by computing the importance of confidential terms and the terms within the range of their context. By applying CBDLP with pruning procedure which has been validated, we further remove the redundancy terms and noise terms. Actually, not only can confidential terms be accurately detected but also the sophisticated rephrased confidential contents are detected during the experiments.

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Older People Go Mobile

The Oxford Handbook of Mobile Communication and Society ◽

10.1093/oxfordhb/9780190864385.013.13 ◽

2020 ◽

pp. 186-199

Author(s):

Mireia Fernández-Ardèvol

Keyword(s):

Older People ◽

Digital Divide ◽

Mobile Devices ◽

Asynchronous Communication ◽

Text Messages ◽

Learning Processes ◽

Inclusive Design ◽

Older Individuals ◽

Multiple Dimensions

This chapter examines the ways heterogeneous groups of older individuals appropriate mobile devices, the meanings of these uses, and the paramount role of the smartphone. Images, text messages, and voice messages have become key elements of (asynchronous) communication. In contexts where smartphones are pervasive, expectations and pressures come from relatives and peers, shaping mobile practices and associated learning processes. The chapter also analyzes the causes and consequences of non-use and limited use as the digital divide affects older people significantly. Finally, it discusses the need for non-patronizing empirical research going beyond health-centered perspectives, enabling a better understanding of the multiple dimensions of the mobile revolution and favoring an inclusive design of products, services, and policies.

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M-Learning: Implications for Effective Use of Mobile Devices in Higher Education

PsycEXTRA Dataset ◽

10.1037/e637282012-001 ◽

2012 ◽

Author(s):

Joseph E. Mercado

Keyword(s):

Higher Education ◽

Mobile Devices ◽

Effective Use

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Supplemental Material for College Instructors’ and Students’ Views of the Use (and Misuse) of Personal Mobile Devices

Scholarship of Teaching and Learning in Psychology ◽

10.1037/stl0000214.supp ◽

2020 ◽

Keyword(s):

Mobile Devices ◽

College Instructors ◽

Personal Mobile Devices

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Architecture Models to Facilitate Communication of Clinical Information

Methods of Information in Medicine ◽

10.1055/s-0038-1634410 ◽

1999 ◽

Vol 38 (04/05) ◽

pp. 326-331

Author(s):

S. Kay

Keyword(s):

Health Care ◽

Clinical Information ◽

Reference Architecture ◽

Context Model ◽

Electronic Health

AbstractThis is an account of the development and use of a context model for facilitating the communication of clinical information. Its function is to articulate the principle of context within a reference architecture for the Electronic Health Care Record (EHCR). The work required a re-examination of established models of communication, the purpose being to use them to support an architecture that could be reasonably expected to accommodate future, and by definition unforeseeable, developments in EHCR communication. The Context Model is built upon seven recognized constituents of communication. These constituents, although having their origin in the engineering of signal communication, have been found to be useful for explication both in the verbal and textual communication of narratives between people. The electronic health care record architecture supported by the model is the European prestandard ENV13606-1.

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