With the ever increasing amount of digital information, users desire more screen real estate to process their daily computing work, and might well benefit from using a wallsize large high-resolution display instead of a desktop one. Unfortunately, we know very little about users' behaviors when using such a display for daily computing. We present a week-long study that investigates large display use in a personal desktop computing context by comparing it with single and dual desktop monitor use. Results show users' unanimous preference for using a large display: it facilitates multi-window and rich information tasks, enhances users' awareness of peripheral applications, and offers a more "immersive" experience. Further, the data reveals distinct usage patterns in partitioning screen real estate and managing windows on a large display. Detailed analysis of these results provides insights into designing interaction techniques and window management systems more suited to a large display.

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Current pen input mainly utilizes the position of the pen tip, and occasionally, a button press. Other possible device parameters, such as rolling the pen around its longitudinal axis, are rarely used. We explore pen rolling as a supporting input modality for pen-based interaction. Through two studies, we are able to determine 1) the parameters that separate intentional pen rolling for the purpose of interaction from incidental pen rolling caused by regular writing and drawing, and 2) the parameter range within which accurate and timely intentional pen rolling interactions can occur. Building on our experimental results, we present an exploration of the design space of rolling-based interaction techniques, which showcase three scenarios where pen rolling interactions can be useful: enhanced stimulus-response compatibility in rotation tasks [7], multi-parameter input, and simplified mode selection.

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Modelling the accuracy of finger-touch target acquisition is crucial for designing touchscreen UI and for modeling more complex and higher level touch interaction behaviors. Despite its importance, there has been little theoretical work on creating such models. Building on the Dual Gaussian Distribution Model[3], we derived an accuracy model that predicts the success rate of target acquisition based on the target size. We evaluated the model by comparing the predicted success rates with empirical measures for three types of targets: 1-dimensional vertical, 1-dimensional horizontal, and 2-dimensional targets. The predictions matched the empirical data very well: the differences between predicted and observed success rates were under 5% for 4.8 mm and 7.2 mm targets, and under 10% for 2.4 mm targets. The evaluation results suggest that our simple model can reliably predict touch accuracy.

PACS 79.60.-i -Photoemission and photoelectron spectra PACS 71.20.-b -Electron density of states and band structure of crystalline solids Abstract -The X-ray photoelectron spectroscopic deconvolution analysis is applied to quantitatively distinguish valence states of Ni and to obtain the δ value in LaNiO 3−δ films on Si substrates. The mechanism of the Ni 3+ /Ni 2+ ratio dependent transport is clarified by the combination of transport measurements and first-principle calculations. At lower Ni 3+ /Ni 2+ ratio of 0.39, the LaNiO2.64 film exhibits semi-conductive behavior with carriers mainly being hopping polarons, while higher Ni 3+ /Ni 2+ ratio transfers the LaNiO2.84 film to an electronic conductor. The observed reduction of the electron-phonon interaction, shortened mean free path, and increased electron-electron coupling are suggested to be correlated to high Ni 3+ /Ni 2+ ratio.