Drawing principles, or aesthetics, are important in graph drawing. They are used as criteria for algorithm design and for quality evaluation. Current aesthetics are described as visual properties that a drawing is required to have to be visually pleasing. However, most of these aesthetics are originally proposed without consideration of graph structure information. Therefore their ability in visually revealing graph structural features are not guaranteed and indeed mixed results have been reported in the literature regarding their impact on user graph comprehension. In this paper, we propose to derive aesthetics based on graph internal structural features. Further, graphs are often evaluated based on controlled experiments with simple perception tasks to avoid possible confounding factors caused by complex tasks. This leaves their value in supporting complex tasks unevaluated. To fill this gap, we also discuss the possibility of applying evaluation methodologies used in the Cognitive Load Theory research for graph evaluation.
Aesthetics of Robot-Mediated Applied Drama: A Case Study on REMind
Systems Design Engineering, University of Waterloo（滑铁卢大学系统设计工程系）；Electrical & Computer Engineering, University of Waterloo（滑铁卢大学电气与计算机工程系）；Communication Arts, University of Waterloo（滑铁卢大学传播艺术系）
Explainability and AI Confidence in Clinical Decision Support Systems: Effects on Trust, Diagnostic Performance, and Cognitive Load in Breast Cancer Care
AI, Help Me Think$\unicode{x2014}$but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
Microsoft Research Cambridge（微软研究院剑桥分部）；University College London（伦敦大学学院）；fortiss GmbH, Research Institute of the Free State of Bavaria（巴伐利亚自由州fortiss GmbH研究机构）；LMU Munich（慕尼黑大学）；Politecnico di Milano（米兰理工大学）
The Ballad of the Bots: Sonification Using Cognitive Metaphor to Support Immersed Teleoperation of Robot Teams
Bristol VR Lab, University of the West of England（西英格兰大学布里斯托尔虚拟现实实验室）；Bristol Robotics Laboratory, University of the West of England（西英格兰大学布里斯托尔机器人实验室）；Digital Cultures Research Centre, University of the West of England（西英格兰大学数字文化研究中心）；Creative Technologies Lab, University of the West of England（西英格兰大学创意技术实验室）
