No description available.

No description available.

Thesis (PhD)--University of South Australia, 1997

Thesis (Ph. D.)--University of Technology, Sydney, 2005.

Thesis (M. S.)--Psychology, Georgia Institute of Technology, 2007. / Bruce N. Walker, Committee Chair ; Wendy Rogers, Committee Member ; Gregory Corso, Committee Member.

No description available.

Thesis (M.S.)--Rochester Institute of Technology, 2008. / Typescript. Includes bibliographical references (leaves 137-142).

by Poon Chi-cheung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves 82-84). / Abstract / Acknowledgments / Preface / Chapter Chapter 1: --- Font Systems --- p.1 / Representations of Character Images --- p.1 / Characteristics of Chinese Font System --- p.3 / Large Character Set --- p.3 / Condensed Strokes --- p.4 / Low Repetition Rate --- p.5 / WYSIWYG (What You See Is What You Get) --- p.6 / Chapter Chapter 2: --- Human Visual System and Gray Scale Font --- p.9 / Human Visual System --- p.9 / Physiology --- p.9 / Spatial Frequencies --- p.10 / How much resolution is enough --- p.11 / Screen and Printer --- p.12 / Raster Display Devices --- p.13 / Printer --- p.14 / Resolution --- p.15 / Gray Scale Font --- p.15 / Generation of Gray Scale Font --- p.18 / Chapter Chapter 3: --- Digital Filtering Method for Gray Scale Font --- p.19 / Filtering Process --- p.19 / Weighted Functions --- p.21 / Generation of Gray Scale Character --- p.23 / Results --- p.24 / More Experiments --- p.24 / Problems --- p.26 / Speed and Storage --- p.26 / Impression of Strokes --- p.27 / Thin strokes in the small-size character --- p.30 / New Approach to Generate Gray Scale Font --- p.30 / Chapter Chapter 4: --- Rasterization Algorithms --- p.32 / Outline Font --- p.32 / TrueType Font --- p.33 / Scan Conversion --- p.35 / Basic Outline-to-Bitmap Conversion --- p.35 / Scan-converting Polygon --- p.36 / Rasterization of a character --- p.36 / Intersecting Points and Ranges --- p.37 / Straight Lines --- p.37 / Quadratic Bezier Curves --- p.38 / Implementation Techniques --- p.39 / Approximation of quadratic Bezier curve by straight lines --- p.39 / Simplification of the Filling Process --- p.41 / The Rasterization Algorithm --- p.45 / Chapter Chapter 5: --- Direct Rasterization with Gray Scale --- p.46 / Rasterization with Gray Scale --- p.46 / Determination of Gray Value of Boundary-pixel --- p.50 / Preliminary Results --- p.54 / Hinting --- p.56 / Rasterization with Hinting --- p.56 / Strokes Migration --- p.57 / Hints Finding --- p.59 / Chapter Chapter 6: --- Results and Conclusion --- p.62 / Quality --- p.66 / Comparison with Black-and-White Character --- p.66 / Hinted Against Unhinted --- p.71 / Generation Speeds --- p.75 / Discussion and Comments --- p.78 / Practical Font System --- p.79 / Conclusion --- p.80 / Bibliography --- p.82

Photocopy of typescript. / Digitized by Kansas Correctional Industries

In the past, a considerable amount of research has been conducted into the effects of congruence between information display and task requirement on decision-making performance. The theoretical base for these works is the cost-benefit framework, which explains that the effort of decision makers will depend on the level of accuracy expected and the cost of the strategy employed to complete the task. In this research, the factor of self-efficacy is integrated into the cost-benefit framework for predicting decision making performance. An experiment was designed with two factors, display congruence and self-efficacy. The display congruence is a within-subject factor with 2 levels, high congruence and low congruence; the self-efficacy is a between-subject factor with 2 levels, high versus low. Subjects¡¦ eye movements were also tracked with an apparatus, eye tracker. A total of 30 subjects participated in the experiment and 20 were found to be valid based on an analysis of the eye movement data. These subjects were divided into high and low self-efficacy groups according to their scores of self-efficacy measurement. The results show that when the congruence is low, subjects spent significantly longer decision time and changed information acquisition direction than they do when the congruence is high, although there was no difference in decision accuracy between these two conditions. Self-efficacy is found to significantly predict goal commitment, intensity of effort, and decision accuracy. In addition, when subjects moved from the situation of high congruence display to the low congruence one, high self-efficacy subjects were found to increase their level of effort more than low self-efficacy subjects.