دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: [1 ed.] نویسندگان: Bongshin Lee (editor), Raimund Dachselt (editor), Petra Isenberg (editor), Eun Kyoung Choe (editor) سری: AK Peters Visualization Series ISBN (شابک) : 0367548429, 9780367548421 ناشر: Chapman and Hall/CRC سال نشر: 2021 تعداد صفحات: 352 [346] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 154 Mb
در صورت تبدیل فایل کتاب Mobile Data Visualization به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب تجسم داده های موبایل نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
تجسم داده های موبایل اولین کتابی است که نمای کلی از نحوه تجسم، تجزیه و تحلیل و برقراری ارتباط موثر داده ها در دستگاه های تلفن همراه را ارائه می دهد. این کتاب در دسترس یک منبع ارزشمند و غنی برای طراحان تجسم، پزشکان، محققان و دانشجویان است.
Mobile Data Visualization is the first book to provide an overview of how to e-ffectively visualize, analyze, and communicate data on mobile devices. This accessible book is a valuable and rich resource for visualization designers, practitioners, researchers, and students alike.
Cover Half Title Series Page Title Page Copyright Page Contents Preface Editors Contributors Acknowledgments CHAPTER 1: Introduction to Mobile Data Visualization 1.1. INTRODUCTION 1.2. CHARACTERIZING DIMENSIONS 1.2.1. Physical Data Display Size 1.2.2. Data Display Mobility 1.2.3. Data Source 1.2.4. Reaction of Visualization to Display Movement 1.2.5. Intended Viewing Timespan 1.2.6. Visualization Interaction Complexity 1.2.7. Intended Sharing 1.3. TYPICAL EXAMPLES OF MOBILE DATA VISUALIZATION 1.3.1. Early Mobile Data Visualizations for PDAs 1.3.2. Mobile Data Visualizations for Smartwatches 1.3.3. Handheld Mobile Data Visualizations 1.3.4. Mobile Data Visualizations on Tablet Devices 1.4. EDGE CASES OF MOBILITY-RELATED VISUALIZATIONS 1.4.1. Self-propelled Visualizations 1.4.2. Micro-mobility for Visualization 1.4.3. Mobile Data Visualizations in Multi-display Environments 1.4.4. Large Movable Displays 1.5. SUMMARY AND REFLECTIONS REFERENCES CHAPTER 2: Responsive Visualization Design for Mobile Devices 2.1. CONTEXT 2.2. RESPONSIVE DESIGN VS. RESPONSIVE VISUALIZATION DESIGN 2.3. FACTORS IMPACTING VISUALIZATION DESIGN ON MOBILE DEVICES 2.3.1. Device Factors 2.3.2. Usage Factors 2.3.3. Environmental Factors 2.3.4. Data Factors 2.3.5. Human Factors 2.3.6. Sensing and Inferring Multiple Factors 2.4. RESPONSIVE VISUALIZATION DESIGN STRATEGIES 2.4.1. Scale 2.4.2. Aspect Ratio 2.4.3. Layout 2.4.4. Level of Detail 2.4.5. Amount of Data 2.4.6. Annotation and Guides 2.4.7. Attentional Cues and Dynamic Guides 2.4.8. Animation and Streaming Data 2.4.9. Visual Encoding 2.4.10. Interaction 2.5. CHALLENGES AND OPPORTUNITIES 2.5.1. Develop Once, Deploy to Many 2.5.2. Guidelines for Responsive Visualization 2.5.3. Evaluating Responsiveness 2.5.4. Authoring Support 2.5.5. Responsiveness for New Devices 2.5.6. Cross-device Responsiveness 2.5.7. From Technical to Contextual Responsiveness 2.5.8. Make Responses Understandable 2.6. SUMMARY REFERENCES CHAPTER 3: Interacting with Visualization on Mobile Devices 3.1. FOUNDATIONS 3.1.1. Interacting with Visualization 3.1.2. Interacting with Mobile Devices 3.2. OVERVIEW 3.2.1. Touch Interaction 3.2.2. Spatial Interaction 3.2.3. Voice Interaction 3.3. FUTURE OPPORTUNITIES 3.3.1. Consistency and Expressivity 3.3.2. Multimodal Interaction 3.3.3. Multi-device Interaction 3.3.4. Visualization Authoring 3.3.5. Inspiration from Mobile HCI 3.4. SUMMARY REFERENCES CHAPTER 4: 3D Mobile Data Visualization 4.1. INTRODUCTION 4.2. NEED FOR 3D MOBILE DATA VISUALIZATION 4.3. PROGRESS TOWARD 3D MOBILE DATA VISUALIZATION: A MOVING 4.4. MOTIVATING USE CASE 4.4.1. An Example: 4.4.2. Analysis of the Example: Different Kinds of Mobility 4.5. CHALLENGES OF 3D MOBILE DATA VISUALIZATION 4.6. A DESIGN SPACE FOR 3D MOBILE DATA VISUALIZATION 4.7. EXPLORATION OF RELEVANT CONFIGURATIONS OF OUR DESIGN 4.7.1. Volumetric Data on Non-Stereoscopic Displays 4.7.2. Volumetric Data on Stereoscopic Displays 4.7.3. Non-Volumetric Data on Stereoscopic Displays 4.8. LESSONS LEARNED: COULD THE MARINES BE SAVED? 4.9. CONCLUSION REFERENCES CHAPTER 5: Characterizing Glanceable Visualizations: From Perception to Behavior Change 5.1. INTRODUCTION AND CONTEXT 5.2. PERSPECTIVES ON GLANCEABILITY 5.2.1. Glanceability in Vision Science 5.2.2. Glanceability in Visualization 5.2.3. Glanceability in Ubiquitous Computing 5.2.4. Summary 5.3. CHARACTERISTICS OF GLANCEABLE VISUALIZATIONS 5.3.1. Presence and Access 5.3.2. Simplicity and Understandability 5.3.3. Suitability and Purpose 5.3.4. Summary 5.4. EVALUATION OF GLANCEABLE VISUALIZATIONS 5.4.1. Evaluations in the Lab 5.4.2. Online Experiments 5.4.3. Evaluations in the Field 5.4.4. Summary 5.5. DISCUSSION AND FUTURE CHALLENGES 5.6. CONCLUSION REFERENCES CHAPTER 6: Evaluating Mobile Visualizations 6.1. INTRODUCTION 6.2. BACKGROUND 6.3. METHOD 6.4. FRAMEWORK 6.5. EVALUATION METHODS 6.5.1. Perception 6.5.2. Usability 6.5.3. Feasibility 6.5.4. Understanding 6.5.5. Reflection and Insights 6.5.6. Behavior Change 6.6. DISCUSSION REFERENCES CHAPTER 7: Challenges in Everyday Use of Mobile Visualizations 7.1. INTRODUCTION 7.2. EVERYDAY INTERACTION CHALLENGES OF MOBILE VISUALIZATIONS 7.2.1. From Being Informed to Information Overload 7.2.2. Fewer Opportunities for Interaction 7.3. EVERYDAY PRIVACY CHALLENGES OF MOBILE VISUALIZATIONS 7.3.1. Violating Privacy Expectations 7.4. EVERYDAY ETHICAL CHALLENGES OF MOBILE VISUALIZATIONS 7.4.1. Low Visualization Literacy 7.4.2. Limited Resources Lead to Missing Context 7.4.3. Persuasive Mobile Visualizations Can Foster Behavior Change, But Not Always 7.5. DISCUSSION 7.6. CONCLUSION REFERENCES CHAPTER 8: Mobile Visualization Design: An Ideation Method to Try 8.1. INTRODUCTION 8.2. RELATIONSHIP TO OTHER DESIGN METHODOLOGIES 8.3. MOBILE VISUALIZATION IDEATION METHODOLOGY 8.4. IDEATION ACTIVITIES—MOBILE VISUALIZATION FUTURES 8.4.1. Approach 1: One Person with In Situ Notes 8.4.2. Approach 2: One Person with Post Hoc Notes 8.4.3. Approach 3: Two or More People in Discussion 8.4.4. Approach 4: Larger Group with Ideation in Stuttgart 8.5. DISCUSSION 8.6. CONCLUSION 8.7. ACKNOWLEDGMENTS REFERENCES CHAPTER 9: Reflections on Ubiquitous Visualization 9.1. INTRODUCTION AND CONTEXT 9.2. APPROACH 9.3. WESLEY WILLETT ON EMBEDDED DATA REPRESENTATIONS 9.4. NIKLAS ELMQVIST ON UBIQUITOUS ANALYTICS 9.5. SEAN WHITE ON SITUATED AUGMENTED REALITY 9.6. YVONNE ROGERS ON VISUALIZATIONS FOR SOCIAL EMPOWERMENT 9.7. DISCUSSION AND OVERALL REFLECTION 9.7.1. Mobile versus Ubiquitous Visualization 9.7.2. Challenge: Information Overload 9.7.3. Challenge: People Looking Down at Their Mobile Devices 9.7.4. Opportunity: Mobile Displays as a Way to Envision the Future 9.7.5. The Web as a Technology Platform 9.7.6. How Will We Interact with Ubiquitous Visualization? 9.8. SCENARIOS FOR UBIQUITOUS VISUALIZATION 9.9. REVISITING THE DIMENSIONS OF MOBILE VISUALIZATION 9.9.1. Reflecting on the Dimensions of Mobile Visualization from Our Interviews 9.9.2. Expanding the Dimensions with Context 9.10. CONCLUSION REFERENCES Index