Interactive Information Visualisation

我对数据可视化的兴趣不断扩大，不仅因为我发现让数据更容易理解的挑战很吸引人，还因为数据在我们生活的各个方面都越来越重要。这种无处不在的数据和试图使数据易于理解的公然挑战正在产生多样性和包容性方面的新问题。越来越明显的是，数据理解需求并不统一。在创建可视化时，我们必须小心，不仅要迎合新的精英——那些已经是数据专家的人。我们必须将数据民主化的理念推广到更广泛的领域，寻求赋予人们权力，使其具有包容性，并支持多样性。与数据相关的技术现在被认为是许多活动必不可少的，包括工作、娱乐、交流、学习和社交。虽然人们显然受益于数字数据技术，但使用它们往往是有压力和复杂的。我的长期目标是设计、开发和评估交互式数据可视化，以提高数据的可访问性和可理解性，从而更好地支持越来越多的工作和社会活动受到数据影响的人们。随着数据的生成、使用和重要性持续爆炸式增长，致力于开发使这些数据更容易理解、更容易访问、更理想情况下更具可操作性的技术的重要性变得越来越明显。更直接地，我将从以下几点开始：1)理解基础知识：我将从使用形成性评估方法开始，更多地了解各种各样的人是如何思考、使用数据并采取行动的；2)发明新的交互式可视化：通过利用(1)中对不同行业的人类偏好的不断扩展的理解，我将发明新的交互式可视化，提供更包容的数据访问。3)为新情况创建可视化：我将把(1)中获得的理解与(2)中发明的交互式可视化结合起来，与开放数据运动中的参与者一起工作，开始解决围绕数据技术的可访问性、透明度、多样性和包容性的不断变化的需求。我们（我的才华横溢的学生和我）将运用我们可观的经验技能来更好地理解人类数据交互的基础；我们利用我们的新认识来发明新的交互式数据可视化，以支持人们的日常活动。

My interest in data visualization continues to expand, not only because I find the challenge of making data more comprehensible fascinating, but also because of the growing importance of data in all walks of our lives. This pervasive data and the overt challenge of trying to make data understandable is creating new issues in diversity and inclusivity. It is becoming apparent that data comprehension needs are not uniform. In creating visualizations, we must be careful to not only cater to a new elite - those who already are data experts. We must take our ideas of data democratization broadly, looking to empower people, to be inclusive, and to support diversity. Data related technology is now considered essential for many activities including working, playing, communicating, learning, and socializing. Although people clearly benefit from digital data technologies, using them is frequently stressful and complex. My long-term objective is to design, develop, and evaluate interactive data visualizations so that they improve data accessibility and comprehension to better support the increasing diversity of people whose work and social activities are impacted by data. As data generation, usage, and importance continues to explode - the importance of working towards developing technologies that will make this data more comprehensible, accessible, and ideally more actionable is becoming more and more evident. More immediately I will start by: 1)Understanding fundamentals: I will start by using formative evaluation methods to learn more about how a greater variety of people think about, use, and take actions on and with data; 2)Inventing new interactive visualizations: By making use of the expanding understanding of human predilections in different walks of life as developed in (1), I will invent new interactive visualizations that provide more inclusive access to data. 3)Creating visualizations for new situations: I will combine the understandings gained in (1) with the interactive visualizations invented in (2) to work with the players in the open data movement to begin to address the changing demands around accessibility, transparency, diversity and inclusivity of data technologies. We (my talented students and I) will apply our considerable empirical skills to better understand human data interaction fundamentals; we leverage our new understandings to invent new interactive data visualizations that support people in their daily activities.