Mobile Data Visualization (paper)

行動數據視覺化是為了方便在行動裝置上存取和理解數據。每天有數百萬人使用可穿戴追蹤器、手機和平板電腦閱讀天氣圖、金融圖表或個人健康計量器。要如何在行動裝置上創建有效的視覺化呢？本書介紹了行動數據視覺化的關鍵概念，並從研究和實踐的角度討論了機遇和挑戰。

《行動數據視覺化》是第一本提供在行動裝置上有效地視覺化、分析和傳達數據的概述書籍。本書匯集了來自可視化、人機交互和普遍計算等領域的國際學者和從業者的專業知識、研究和經驗，探討了行動視覺化的挑戰，並解釋了它與傳統數據視覺化的不同之處。本書強調了通過引人入勝、互動和引人注目的行動內容來觸及新受眾的機會。

本書共分為九章，提供了有趣的行動數據視覺化觀點，包括：如何描述和分類行動視覺化；如何在行動中與之互動，並在有限的注意力下使用；如何適應不同的行動環境；如何設計和評估行動視覺化的具體方法；對隱私、倫理和其他挑戰的思考，以及對普遍視覺化未來的展望。這本易於理解的書籍對於視覺化設計師、從業者、研究人員和學生來說是一個寶貴而豐富的資源。

Bongshin Lee is a Sr. Principal Researcher in the EPIC (Extended Perception Interaction Cognition) research group, part of Human-Computer Interaction Group (HCI@MSR), at Microsoft Research. She received her PhD in Computer Science from the University of Maryland, College Park in 2006. Bongshin's research areas span data visualization, human-computer interaction, and human-data interaction, focusing on the design, development, and evaluation of novel data visualization and interaction techniques. The overarching goal of her research is to empower people to achieve their goals by leveraging data, data visualization, and technological advancements. Bongshin explores innovative ways to help people with different abilities to interact with data, by supporting easy and effective data collection, data exploration & analysis, and data-driven communication. Her most recent research endeavors include personal data visualization, data visualization on mobile devices, inclusive data visualization and multimodal interaction for data visualization. She is a member of the IEEE Visualization Academy and the IEEE Visualization Executive Committee.

Raimund Dachselt is a Full Professor of Computer Science at the Technische Universität Dresden, Germany. Since 2012, he leads the Interactive Media Lab Dresden at the Faculty of Computer Science. He received his PhD in 2004 from TU Dresden and was Professor for User Interface Engineering at the University of Magdeburg from 2007 to 2012. His research interests are at the intersection of natural, multimodal human computer interaction (HCI) and data visualization. He worked extensively in the area of interactive surfaces from smartwatches over tabletops to wall-sized displays and expanded the scope to Mixed Reality interfaces for immersive data analysis. He contributed several novel interface approaches for information visualization. He has co-authored more than 220 peer-reviewed publications and two major German HCI textbooks and received several Best Paper Awards at leading conferences. He has co-organized 17 international workshops at ACM and IEEE conferences, is the head of the ACM ISS steering committee and repeatedly served in numerous chairing and organizational roles as well as a PC member for international conferences.

Petra Isenberg is a research scientist at Inria, Saclay, France in the Aviz team and part of the Computer Science Laboratory of University Paris-Saclay (LISN). Prior to joining Inria, she received her PhD from the University of Calgary in 2010 on collaborative information visualization. Petra also holds a Diplom-engineer degree in Computational Visualistics from the University of Magdeburg. Her main research areas are visualization and visual analytics with a focus on non-desktop devices, interaction, and evaluation. She is particularly interested in exploring how people can most effectively work together when analyzing large and complex data sets on novel display technology such as small touch-screens, mobile devices, and wall displays, or tabletops. Petra is associate editor-in-chief at IEEE CG&A, associate editor of the IEEE Transactions on Visualization and Computer Graphics, has served on many organizing committee roles in various conferences, and has been the co-chair of the biennial Beliv workshop from 2012-2018.

Eun Kyoung Choe is an Associate Professor in the College of Information Studies at the University of Maryland, College Park. She received her PhD in Information Science from University of Washington, MS in Information Management and Systems from University of California, Berkeley, and BS in Industrial Design from KAIST. Her work sits at the intersection of HCI, Ubiquitous Computing, and Personal Informatics. With an overarching goal of empowering individuals, she examines some of the major challenges people face in leveraging personal data, such as data collection, data exploration, and data sharing. Drawing insights from formative studies, she designs novel systems to support personalized data collection and multimodal data exploration for people to interact with data. Her work has been funded by the National Science Foundation, National Institute of Health, and Microsoft Research. She has been serving on the editorial boards of PACM IMWUT and Foundations and Trends in Human-Computer Interaction, and as a subcommittee chair for CHI Health (2020-2021).

Bongshin Lee是微軟研究院人機互動組（HCI@MSR）下的EPIC（擴展感知互動認知）研究小組的高級首席研究員。她於2006年在馬里蘭大學帕克分校獲得計算機科學博士學位。Bongshin的研究領域涵蓋數據可視化、人機互動和人數據互動，專注於新型數據可視化和互動技術的設計、開發和評估。她的研究的總體目標是通過利用數據、數據可視化和技術進步來賦予人們實現目標的能力。Bongshin通過支持簡單有效的數據收集、數據探索和分析以及數據驅動的溝通，探索幫助不同能力的人與數據互動的創新方式。她是IEEE可視化學院和IEEE可視化執行委員會的成員。

Raimund Dachselt是德國德累斯頓工業大學（Technische Universität Dresden）的計算機科學教授。自2012年以來，他一直在該校計算機科學學院領導互動媒體實驗室（Interactive Media Lab Dresden）。他於2004年從德累斯頓工業大學獲得博士學位，並於2007年至2012年擔任馬格德堡大學（University of Magdeburg）的用戶界面工程學教授。他的研究興趣涉及自然、多模態人機互動（HCI）和數據可視化的交叉領域。他在交互式表面領域進行了廣泛的工作，從智能手錶到桌面到大型顯示屏，並將範圍擴展到用於沉浸式數據分析的混合現實界面。他貢獻了幾種新的信息可視化界面方法。他共同撰寫了220多篇同行評審的出版物和兩本主要的德國HCI教科書，並在領先的會議上獲得了多個最佳論文獎。他曾在ACM和IEEE會議上共同組織了17個國際研討會，是ACM ISS steering committee的負責人，並多次擔任國際會議的主席和組織角色以及PC成員。

Petra Isenberg是法國Inria Saclay的研究科學家，隸屬於巴黎-薩克萊大學（LISN）的計算機科學實驗室的Aviz團隊。在加入Inria之前，她於2010年從卡爾加里大學獲得博士學位，專攻協作信息可視化。Petra還擁有馬格德堡大學的計算視覺學工程學士學位。她的主要研究領域是可視化和視覺分析，重點關注非桌面設備、互動和評估。她特別關注在新型顯示技術（如小型觸摸屏、移動設備、大屏幕和桌面）上分析大型和複雜數據集時，人們如何能夠最有效地共同工作。Petra是IEEE CG&A的副主編，IEEE Transactions on Visualization and Computer Graphics的副主編，曾在多個會議的組織委員會擔任多個角色，並在2012年至2018年期間擔任雙年Beliv研討會的聯合主席。

Eun Kyoung Choe是馬里蘭大學帕克分校信息研究學院的副教授。她於華盛頓大學獲得信息科學博士學位，並在加州大學伯克利分校獲得信息管理和系統碩士學位，以及韓國科學技術院的工業設計學士學位。她的工作位於HCI、普遍計算和個人信息學的交叉點。她的研究目標是賦予個人能力，並研究人們在利用個人數據時面臨的主要挑戰，如數據收集、數據探索和