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By Varuna Godara

Pervasive Computing for enterprise: developments and purposes examines implications of pervasive computing to ensure that present and destiny e-business managers to make accountable judgements concerning the place, whilst, and the way to take advantage of this expertise. With specialist overseas contributions, this assortment merits researchers, academicians, and practitioners drawn to this becoming box.

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Attention and Pervasive Computing Stimulus Material and Experimental Design The same ads and text stimuli used in the first experiment were also utilized in the second experiment. In order to test the effect of repetition, we reduced the number of ad exposures by half (2 exposures per ad) compared with the first experiment. A condition in which no ads were presented was added to obtain the reduced number of ads and to keep the test duration comparable to the first experiment. The condition 2 from the first experiment was kept unchanged, but from the two remaining conditions the ads were removed so that only one animated horizontal and one animated vertical ad was presented at a time.

Subjects received a lunch ticket as a reward for their participation. the raw eye coordinates by an algorithm provided with the Tobii software. Samples landing on a fixation window of 40 pixels within 100 ms were classified as fixations. The stimulus pages were divided into three regions of interest (ROIs), comprising the areas of the horizontal ad, the vertical ad and the text (Figure 2). The eye fixations landing on the ad areas were further analyzed in relation to their frequency and duration.

Market Intelligence & Marketing Glossary. Retrieved November 19, 2008, from http://www. com/market-intelligence-glossary-a. , & Gibbs, J. (2004). A Point of View on Business Intelligence and Service Architecture. au. ). Netsuite Glossary. com. html. Pinkerton, A. (2006). Pervasive Computing. postnote, 263(May 2006). Ranjan, J. (2008). Business justification with business intelligence. VINE: The journal of information and knowledge management systems, 38(4), 461-475. , & Mukherjee, A. (2003). Pervasive computing: A paradigm for the 21st century.

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