Living the American Dream: But What is It?(Chasing the Dream maybe more exciting than living the Dream)

The article, part of a special section on wireless communication and society, discusses the increasing use of cell phones and other telecommunication technology by activists of all kinds. Topics discussed include the use of mobile telephones and their text, camera, and video capabilities to monitor elections, document human rights abuses, deliver health care, and monitor environmental quality. A Remote Control for Your Life. By: Mann, Charles C. Technology Review, Jul/Aug2004, Vol. 107 Issue 6, p42-49, 7p Abstract: This article features Japan's Nippon Telegraph and Telephone DoCoMo, a cell-phone company, which is building and bringing ubiquitous computing to reality. Apparently, the company plans to build on i-mode, its wireless Internet service, to transform cell phones into a kind of remote control for one's entire life, and a preview of future universal computing. The plan will allegedly be implemented in the summer of 2004, when DoCoMo introduces a new and radically more versatile type of phone. Like a regular cell phone, it will make and receive telephone calls. Like a regular i-mode device, on the other hand, it will let one send and receive electronic mail, play online games, and access any one of the 78,000 i-mode-compatible Web sites around the world. Also, like other DoCoMo phones, it will take photographs, read bar codes, and play downloaded music over headphones or tiny but surprisingly good speakers. But it will also contain a special chip made by Sony that lets it pay for groceries, serve as personal identification, unlock doors, operate appliances, buy movie and subway tickets, and perform dozens of other tasks. More than just a major advance in cell-phone technology, DoCoMo's new system is a first step toward a low-rent version of one of computer science's biggest dreams, which is ubiquitous computing. Self-Concept, Self-Esteem, Gender, Race, and Information Technology Use. By: Jackson, Linda A. ; Yong Zhao; Witt, Edward A. ; Fitzgerald, Hiram E. ; von Eye, Alexander; Harold, Rena. CyberPsychology & Behavior, Aug2009, Vol. 12 Issue 4, p437-440, 4p Abstract: This research addressed two fundamental questions regarding self-concept, self-esteem, gender, race, and information technology use. First, is technology use related to dimensions of selfconcept and/or to self-esteem? Second, are there gender and/or race differences in self-concept, selfesteem, and technology use? Five hundred youth, average age 12 years old, one third African American and two thirds Caucasian American, completed multidimensional measures of self-concept, the Rosenberg Self-Esteem scale, and measures of frequency of Internet use, Internet use for communication (e-mail and instant messaging), video game playing, and cell phone use. Findings indicated that technology use predicted dimensions of self-concept and self-esteem, with video game playing having a negative influence and Internet use having a positive influence on self-concept dimensions. Gender differences were observed on several self-concept dimensions, but contrary to expectations, girls did not score higher than boys in social self-concept. Only one race difference was observed: African Americans had lower behavioral self-concept than did Caucasian Americans. Implications of the benefits and liabilities of youth's current and projected technology use are discussed. Personal Shopper. Communications of the ACM, Aug2003, Vol. 46 Issue 8, p10-10, 1/4p Abstract: Reports on the development of agent programs to allow cellular phones to make purchases based on information gleaned from the buying habits and routines of their users. Software engineering; Testing of artificial intelligence program on personal digital assistants with built-in cell phones; Design of the technology for third generation phones. Profiling the mobile customer – Privacy concerns when behavioral advertisers target mobile phonesPart I. By: King, Nancy J.; Jessen, Pernille Wegener. Computer Law & Security Review, Sep2010, Vol. 26 Issue 5, p455-478, 24p Abstract: Mobile customers are being tracked and profiled by behavioural advertisers to be able to send them personalized advertising. This process involves data mining consumer databases containing personally-identifying or anonymous data and it raises a host of important privacy concerns. This article, the first in a two part series on consumer information privacy issues on Profiling the Mobile Customer, addresses the questions: “What is profiling in the context of behavioral advertising? ” and “How will consumer profiling impact the privacy of mobile customers? ” The article examines the EU and U.S. regulatory frameworks for protecting privacy and personal data in regards to profiling by behavioral 34 American Journal of Management vol. 13(3) 2013 advertisers that targets mobile customers. It identifies potential harms to privacy and personal data related to profiling for behavioral advertising. It evaluates the extent to which the existing regulatory frameworks in the EU and the U.S. provide an adequate level of privacy protection and identifies key privacy gaps that the behavioral advertising industry and regulators will need to address to adequately protect mobile consumers from profiling by marketers. The upcoming second article in this series will discuss whether industry self-regulation or privacy-enhancing technologies will be adequate to address these privacy gaps and makes suggestions for principles to guide this process. 1 [1] The article is related to the research project Legal Aspects of Mobile Commerce and Pervasive Computing: Privacy, Marketing, Contracting and Liability Issues funded by the Danish Council for Independent Research; Social Sciences. See further information on the project, at: http://www.asb. dk/article.aspx? pid=19387 Data Profiling: A Tool Worth Buying (Really! ) By: Eckerson, Wayne. DM Review, Jun2004, Vol. 14 Issue 6, p28-82, 4p Abstract: This article presents information on data profiling software. Data profiling software scan every record in every column and table in a source system. Instead of just spitting out a list of data values, the software generate reports full of statistics and charts that make it easy to understand everything about the data. Thus, a data profiling software is more likely to expose new or unanticipated structures and values in the data than the manual profiling methods. In general, data profiling tools enable users to better understand the structure and meta data of target systems, the range of and distribution of values in each column and relationships between columns in one or more tables. The benefits of the software are enormous. One user from a high tech firm said a data profiling tool enabled them to evaluate 100 percent of the data. Moreover, he said the tool generated substantially more information about the data, accelerating the process of analyzing data and creating appropriate data cleansing rules. Another company, the Automobile Club of Southern California attributes a data profiling tool with saving a data warehousing project that was plagued with data quality problems and mired in the code, load and explode phenomenon. Data Mining and Internet Profiling: Emerging Regulatory and Technological Approaches. By: Rubinstein, Ira S. ; Lee, Ronald D. ; Schwartz, Paul M. University of Chicago Law Review, Winter2008, Vol. 75 Issue 1, p261-285, 25p Abstract: The article discusses governmental data mining in the U.S., as a counterterrorism strategy that focuses on searches of databases according to a model of linkages and data patterns. It reviews different point of views about the safeguards for the use of data mining, and discusses the data surveillance in private corporations with the collections of information gathered online without legal framework. It offers techniques in masking online activity, and technological approaches to prevent the private sector or government from linking their personal information. Profiling Dependencies. By: Loshin, David. DM Review, Apr2005, Vol. 15 Issue 4, p56-56, 1p Abstract: The article focuses on data profiling solutions for data management processes. Data profiling is moving into the mainstream and becoming a fixture in numerous data management processes ranging from system migrations, data warehousing and data quality to operational system improvement. Data profiling is used to explore anomalies within a collection of data sets and to expose potential problems inherent in the data but not explicitly stated. Profiling is also used to review compliance of a data set with its documented meta data, as well as conformance with a data model. Data profiling technology consists of three capabilities. The first is column profiling which provides statistics and analysis about the values assigned to the attributes within each column in a table. The second is redundancy profiling or cross-table profiling which reviews and explores relationships between columns in different tables, with the expectation of discovering foreign key relationships as well as violations of referential integrity constraints. The third, referred to as dependency profiling looks for functional dependency relationships that exist across columns within a single table. Interestingly, there are very few remaining independent vendors selling a data profiling tool; the major ones have been acquired by other data quality tool vendors or service providers. Cell Phones Big Brother Would Love. By: Helm, Burt. BusinessWeek Online, 6/15/2006, p9-9, 1p American Journal of Management vol. 13(3) 2013 35 Abstract: The article offers information on the use of Global Positioning System (GPS) technology in family mobile phones. The Family Locator program from Sprint is one of the programs that use GPS that can help parents in locating their children. However, some parents and experts said that good communication with children would not the help of GPS technology. Consumer anthropologist Robbie Blinkoff said th