Interactive Information Visualisation

我对数据可视化的兴趣不断扩大，不仅是因为我发现让数据更容易理解的挑战很吸引人，而且还因为数据在我们生活中的各行各业越来越重要。这种无处不在的数据以及试图让数据变得可理解的公开挑战正在创造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。我们必须广泛地看待数据民主化的想法，希望赋予人们权力，具有包容性，并支持多样性。数据相关技术现在被认为是许多活动的关键，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，但使用它们往往是紧张和复杂的。 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理解性，从而更好地支持工作和社会活动受数据影响的日益多样化的人群。随着数据的生成、使用和重要性不断爆炸，致力于开发技术的重要性变得越来越明显，这些技术将使这些数据更容易理解、访问，理想情况下更具有可操作性。更直接地，我将开始： 1)理解基本原理：我将从使用形成性评估方法开始，更多地了解更多的人如何思考，使用和采取行动，并与数据; 2)发明新的交互式可视化：通过利用（1）中对不同生活领域中人类偏好的不断扩展的理解，我将发明新的交互式可视化，提供更具包容性的数据访问。 3)为新情况创建可视化：我将联合收割机结合（1）中获得的理解和（2）中发明的交互式可视化，与开放数据运动的参与者合作，开始解决围绕数据技术的可访问性，透明度，多样性和包容性不断变化的需求。 我们（我和我才华横溢的学生）将运用我们丰富的经验技能来更好地理解人类数据交互的基本原理;我们利用我们的新理解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.