Alvitta Ottley is an Assistant Professor in the Department of Computer Science & Engineering at Washington University in St. Louis. She also holds a courtesy appointment in the Department of Psychological and Brain Sciences. Professor Ottleys research lies in the areas of data visualization and human-computer interaction. She uses interdisciplinary approaches to solve problems such as how best to display information for effective decision-making and how to design human-in-the-loop visual analytics interfaces that are more attuned to the way people think. Her prior research has focused on designing visualizations to support decision-making for non-experts. Her work has also made significant advancements in identifying individual characteristics (e.g., personality traits and cognitive abilities) that modulate behaviors with visualization designs and using machine learning techniques to model human interactions with visualization tools. She and her group continue to leverage this expertise to promote a symbiotic relationship between humans and machines. Professor Ottley earned her Masters and doctorate degrees at Tufts University under the supervision of Dr. Remco Chang. She was the recipient of an NSF CRII Award in 2018 and currently serves on the program committees for the leading conferences in visualization and human-computer interaction: IEEE VIS and ACM CHI.

• Preface.- Acknowledgments.- Text Credits.- A Framework for Thinking About Individual Differences.- Cognitive Traits that Matter.- Spatial Ability and Bayesian Reasoning.- Big-5, Locus of Control, and Searching Trees.- Locus of Control and Strategy.- Learning from Interactions.- The Adaptive User.- Future Directions and Open Challenges.- Bibliography.- Author's Biography.

Alvitta Ottley is an Assistant Professor in the Department of Computer Science & Engineering at Washington University in St. Louis. She also holds a courtesy appointment in the Department of Psychological and Brain Sciences. Professor Ottleys research lies in the areas of data visualization and human-computer interaction. She uses interdisciplinary approaches to solve problems such as how best to display information for effective decision-making and how to design human-in-the-loop visual analytics interfaces that are more attuned to the way people think. Her prior research has focused on designing visualizations to support decision-making for non-experts. Her work has also made significant advancements in identifying individual characteristics (e.g., personality traits and cognitive abilities) that modulate behaviors with visualization designs and using machine learning techniques to model human interactions with visualization tools. She and her group continue to leverage this expertise to promote a symbiotic relationship between humans and machines. Professor Ottley earned her Masters and doctorate degrees at Tufts University under the supervision of Dr. Remco Chang. She was the recipient of an NSF CRII Award in 2018 and currently serves on the program committees for the leading conferences in visualization and human-computer interaction: IEEE VIS and ACM CHI.

• Preface.- Acknowledgments.- Text Credits.- A Framework for Thinking About Individual Differences.- Cognitive Traits that Matter.- Spatial Ability and Bayesian Reasoning.- Big-5, Locus of Control, and Searching Trees.- Locus of Control and Strategy.- Learning from Interactions.- The Adaptive User.- Future Directions and Open Challenges.- Bibliography.- Author's Biography.

Alvitta Ottley is an Assistant Professor in the Department of Computer Science & Engineering at Washington University in St. Louis. She also holds a courtesy appointment in the Department of Psychological and Brain Sciences. Professor Ottleys research lies in the areas of data visualization and human-computer interaction. She uses interdisciplinary approaches to solve problems such as how best to display information for effective decision-making and how to design human-in-the-loop visual analytics interfaces that are more attuned to the way people think. Her prior research has focused on designing visualizations to support decision-making for non-experts. Her work has also made significant advancements in identifying individual characteristics (e.g., personality traits and cognitive abilities) that modulate behaviors with visualization designs and using machine learning techniques to model human interactions with visualization tools. She and her group continue to leverage this expertise to promote a symbiotic relationship between humans and machines. Professor Ottley earned her Masters and doctorate degrees at Tufts University under the supervision of Dr. Remco Chang. She was the recipient of an NSF CRII Award in 2018 and currently serves on the program committees for the leading conferences in visualization and human-computer interaction: IEEE VIS and ACM CHI.

• Preface.- Acknowledgments.- Text Credits.- A Framework for Thinking About Individual Differences.- Cognitive Traits that Matter.- Spatial Ability and Bayesian Reasoning.- Big-5, Locus of Control, and Searching Trees.- Locus of Control and Strategy.- Learning from Interactions.- The Adaptive User.- Future Directions and Open Challenges.- Bibliography.- Author's Biography.