Metafore mobilnih komunikacija ; Метафоры мобильной связи.

Mobilne komunikacije su polje informacione i komunikacione tehnologije koje karakteriše brzi razvoj i u kome se istraživanjem u analitičkim okvirima kognitivne lingvistike, zasnovanom na uzorku od 1005 odrednica, otkriva izrazito prisustvo metafore, metonimije, analogije i pojmovnog objedinjavanja. Analiza uzorka reči i izraza iz oblasti mobilnih medija, mobilnih operativnih sistema, dizajna korisničkih interfejsa, terminologije mobilnih mreža, kao i slenga i tekstizama koje upotrebljavaju korisnici mobilnih naprava ukazuje da pomenuti kognitivni mehanizmi imaju ključnu ulogu u olakšavanju interakcije između ljudi i širokog spektra mobilnih uređaja sa računarskim sposobnostima, od prenosivih računara i ličnih digitalnih asistenata (PDA), do mobilnih telefona, tableta i sprava koje se nose na telu. Ti mehanizmi predstavljaju temelj razumevanja i nalaze se u osnovi principa funkcionisanja grafičkih korisničkih interfejsa i direktne manipulacije u računarskim okruženjima. Takođe je analiziran i poseban uzorak od 660 emotikona i emođija koji pokazuju potencijal za proširenje značenja, imajući u vidu značaj piktograma za tekstualnu komunikaciju u vidu SMS poruka i razmenu tekstualnih sadržaja na društvenim mrežama kojima se redovno pristupa putem mobilnih uređaja...Mobile communications are a fast-developing field of information and communication technology whose exploration within the analytical framework of cognitive linguistics, based on a sample of 1005 entries, reveals the pervasive presence of metaphor, metonymy analogy and conceptual integration. The analysis of the sample consisting of words and phrases related to mobile media, mobile operating systems and interface design, the terminology of mobile networking, as well as the slang and textisms employed by mobile gadget users shows that the above cognitive mechanisms play a key role in facilitating interaction between people and a wide range of mobile computing devices from laptops and PDAs to mobile phones, tablets and wearables. They are the cornerstones of comprehension that are behind the principles of functioning of graphical user interfaces and direct manipulation in computing environments. A separate sample, featuring a selection of 660 emoticons and emoji, exhibiting the potential for semantic expansion was also analyzed, in view of the significance of pictograms for text-based communication in the form of text messages or exchanges on social media sites regularly accessed via mobile devices..

ACUTA Journal of Telecommunications in Higher Education

In This Issue Wireless Outlook 2012 802.11n Wireless in the Enterprise- The Next Big Change The University of Tulsa: A Wireless Campus Advertorial: Deploying Media Switching Systems for Educational lnstitutions Faster Wireless LAN Connections May Help Support Voice & Video Traffic Wireless at Syracuse Expectation Versus Experience: The Realities of Life on the Wireless Road lnstitutional Excellence Award Honorable Mention UC Mobile Interview President\u27s Message From the Executive Directo

Information-intensive innovation: the changing role of the private firm in the research ecosystem through the study of biosensed data

In a world instrumented with smart sensors and digital platforms, some of our most intimate and information-rich data are being collected and curated by private companies. The opportunities and risks derived from potential knowledge carried within these data streams are undeniable, and the clustering of data within the private sector is challenging traditional data infrastructures and sites of research. The role of private industry in research and development (R&D) has traditionally been limited—especially for earlier stage research—given the high risk, long time horizons, and uncertain returns on investment. However, the information economy has changed the way Silicon Valley and other technology firms operate their business models, which has vast implications for how they respectively innovate. Information drives competitive advantage, and builds upon the emergence of technical infrastructure for collecting, storing, and analyzing data at scale. Basic research and fundamental inquiry are becoming important innovation priorities for private firms as they tailor algorithms and customize services, and these changes have vast implications for individual privacy and research ethics. This information-intensive innovation does not simply introduce a new source of inquiry, but a shift in the possibilities and boundaries that enable market edge. This shift challenges prior models of innovation and reconsiders the role of the private firm within the research ecosystem—specifically in regards to Vannevar Bush’s Linear Model of Innovation and Donald Stokes’ Quadrant Model of Scientific Research. This change builds upon prior Silicon Valley innovation models outlined by AnnaLee Saxenian and Henry Chesbrough, but features additional key changes within industry R&D that are fundamentally reshaping the role of the firm within the broader ecosystem. No longer can industry be cast as a place only equipped to grapple exclusively with narrowly applied or developmental research and fully separated or agnostic from users, customers, and citizens. Within this information and data abundant moment, the research and innovation ecosystem is at an inflection point that could alter decades of embedded beliefs and assumptions on who should conduct research and ask fundamental questions, not to mention who should govern and grant access to research data. This dissertation studies how the rise of data science infrastructure is changing the role of the private firm in the R&D ecosystem. This research works to understand how and under what conditions private sector firms are synthesizing user data (e.g., those picked up by sensors) internally and/or shared externally for research purposes. This dissertation specifically looks at applications of biosensed data for the purposes of social, behavioral, health, or public health research applications. Qualitative and mixed methods are used to research, document, and examine practices within the lens of existing research and innovation theoretical models. Historical frameworks are used to ground and place contemporary practices within broader context. This research presents three illustrative cases on firms that exemplify different aspects of strategies to adapt to the competitive pressures of information-intensive innovation. The firms include the Lioness smart vibrator, Kinsa smart thermometer, and Basis smart watch. This research establishes findings about how firms are working within the data and R&D landscape, and how new pressures are influencing emerging practices and strategies. Findings outline the changing definitional boundaries of research within the private firm, and evolving practices relating to knowledge sharing and research activities within the firms. This analysis also points to two key emerging challenges firms are coping with, including how to grapple with research ethics and the rise of secrecy practices that may impede collaboration and research strategies implicit with information-intensive innovation. Research is occurring at many levels within firms, breaking free of any traditional laboratory structure. Collaborations and data sharing with academics for mutually beneficial research partnerships are taking new, largely unstructured forms to meet rising demand and interest. There is fresh demand for new kinds of collaboration models derived from data sharing needs, and exploration into ways of leveraging research practices and incorporating academic research curiosity across firms. This dissertation concludes by summarizing the importance of reconsidering the role of the firm within the broader R&D ecosystem and broader policy considerations. Programs to help structure and incentivize private/academic research collaborations should be considered, and private firms should consider their internal protocols and strategies in light of this changing landscape

Privacy by (re)design: a comparative study of the protection of personal information in the mobile applications ecosystem under United States, European Union and South African law.

Doctoral Degree. University of KwaZulu-Natal, Durban.The dissertation presents a comparative desktop study of the application of a Privacy by Design (PbD) approach to the protection of personal information in the mobile applications ecosystem under the Children’s Online Privacy Protection Act (COPPA) and the California Consumer Protection Act (CCPA) in the United States, the General Data Protection Regulation (GDPR) in the European Union, and the Protection of Personal Information Act (POPIA) in South Africa. The main problem considered in the thesis is whether there is an ‘accountability gap’ within the legislation selected for comparative study. This is analysed by examining whether the legislation can be enforced against parties other than the app developer in the mobile app ecosystem, as it is theorised that only on this basis will the underlying technologies and architecture of mobile apps be changed to support a privacy by (re)design approach. The key research question is what legal approach is to be adopted to enforce such an approach within the mobile apps ecosystem. It describes the complexity of the mobile apps ecosystem, identifying the key role players and the processing operations that take place. It sets out what is encompassed by the conceptual framework of PbD, and why the concept of privacy by (re)design may be more appropriate in the context of mobile apps integrating third party services and products. It identifies the core data protection principles of data minimisation and accountability, and the nature of informed consent, as being essential to an effective PbD approach. It concludes that without strengthening the legal obligations pertaining to the sharing of personal information with third parties, neither regulatory guidance, as is preferred in the United States, nor a direct legal obligation, as created by article 25 of the GDPR, is adequate to enforce a PbD approach within the mobile apps ecosystem. It concludes that although a PbD approach is implied for compliance by a responsible party with POPIA, legislative reforms are necessary. It proposes amendments to POPIA to address inadequacies in the requirements for notice, and to impose obligations on a responsible party in relation to the sharing of personal information with third parties who will process the personal information for further, separate purposes