New media reading strategy

This dissertation addresses the need for a strategy that will help readers new to new media texts interpret such texts. While scholars in multimodal and new media theory posit rubrics that offer ways to understand how designers use the materialities and media found in overtly designed, new media texts (see, e.g,, Wysocki, 2004a), these strategies do not account for how readers have to make meaning from those texts. In this dissertation, I discuss how these theories, such as Lev Manovich’s (2001) five principles for determining the new media potential of texts and Gunther Kress and Theo van Leeuwen’s (2001) four strata of designing multimodal texts, are inadequate to the job of helping readers understand new media from a rhetorical perspective. I also explore how literary theory, specifically Wolfgang Iser’s (1978) description of acts of interpretation, can help audiences understand why readers are often unable to interpret the multiple, unexpected modes of communication used in new media texts. Rhetorical theory, explored in a discussion of Sonja Foss’s (2004) units of analysis, is helpful in bringing the reader into a situated context with a new media text, although these units of analysis, like Iser’s process, suggests that a reader has some prior experience interpreting a text-as-artifact. Because of this assumption of knowledge put forth by all of the theories explored within, I argue that none alone is useful to help readers engage with and interpret new media texts. However, I argue that a heuristic which combines elements from each of these theories, as well as additional ones, is more useful for readers who are new to interpreting the multiple modes of communication that are often used in unconventional ways in new media texts. I describe that heuristic in the final chapter and discuss how it can be useful to a range of texts besides those labelled new media.

Automatic algorithm for monitoring systolic pressure variation and difference in pulse pressure

BACKGROUND: Difference in pulse pressure (dPP) reliably predicts fluid responsiveness in patients. We have developed a respiratory variation (RV) monitoring device (RV monitor), which continuously records both airway pressure and arterial blood pressure (ABP). We compared the RV monitor measurements with manual dPP measurements. METHODS: ABP and airway pressure (PAW) from 24 patients were recorded. Data were fed to the RV monitor to calculate dPP and systolic pressure variation in two different ways: (a) considering both ABP and PAW (RV algorithm) and (b) ABP only (RV(slim) algorithm). Additionally, ABP and PAW were recorded intraoperatively in 10-min intervals for later calculation of dPP by manual assessment. Interobserver variability was determined. Manual dPP assessments were used for comparison with automated measurements. To estimate the importance of the PAW signal, RV(slim) measurements were compared with RV measurements. RESULTS: For the 24 patients, 174 measurements (6-10 per patient) were recorded. Six observers assessed dPP manually in the first 8 patients (10-min interval, 53 measurements); no interobserver variability occurred using a computer-assisted method. Bland-Altman analysis showed acceptable bias and limits of agreement of the 2 automated methods compared with the manual method (RV: -0.33% +/- 8.72% and RV(slim): -1.74% +/- 7.97%). The difference between RV measurements and RV(slim) measurements is small (bias -1.05%, limits of agreement 5.67%). CONCLUSIONS: Measurements of the automated device are comparable with measurements obtained by human observers, who use a computer-assisted method. The importance of the PAW signal is questionable.

Enterprise software adoption and perceived business performance — an empirical investigation in Germany and the U.S.

This work contributes to the ongoing debate on the productivity paradox by considering CIOs’ perceptions of IT business value. Applying regression analysis to data from an international survey, we study how the adoption of certain types of enterprise software affects the CIOs’ perception of the impact of IT on the firm’s business activities and vice versa. Other potentially important factors such as country, sector and size of the firms are also taken into account. Our results indicate a more significant support for the impact of perceived IT benefits on adoption of enterprise software than vice versa. CIOs based in the US perceive IT benefits more strongly than their German counterparts. Furthermore, certain types of enterprise software seem to be more prevalent in the US.