"The ability to predict and guide viewer attention has important applications in computer graphics, image understanding, object detection, visual search and training. Human eye movements provide insight into the cognitive processes involved in task performance and there has been extensive research on what factors guide viewer attention in a scene. It has been shown, for example, that saliency in the image, scene context, and task at hand play significant roles in guiding attention. This dissertation presents and discusses research on visual attention with specific focus on the use of subtle visual cues to guide viewer gaze and the development of algorithms to predict the distribution of gaze about a scene. Specific contributions of this work include: a framework for gaze guidance to enable problem solving and spatial learning, a novel algorithm for task-based eye movement prediction, and a system for real-world task inference using eye tracking. A gaze guidance approach is presented that combines eye tracking with subtle image-space modulations to guide viewer gaze about a scene. Several experiments were conducted using this approach to examine its impact on short-term spatial information recall, task sequencing, training, and password recollection. A model of human visual attention prediction that uses saliency maps, scene feature maps and task-based eye movements to predict regions of interest was also developed. This model was used to automatically select target regions for active gaze guidance to improve search task performance. Finally, we develop a framework for inferring real-world tasks using image features and eye movement data. Overall, this dissertation naturally leads to an overarching framework, that combines all three contributions to provide a continuous feedback system to improve performance on repeated visual search tasks. This research has important applications in data visualization, problem solving, training, and online education."--Abstract.

Elena Hitzel pursues the idea that human gaze locations are influenced by currently non-fixated objects that are visible in the peripheral visual field. Using eye tracking equipment and a Virtual Reality system to provide naturalistic tasks, the author shows that gaze is biased towards a neighboring object, especially when this object is relevant to the subject’s current task. This suggests that peripheral vision is used in the allocation of gaze in daily life and that this bias can be interpreted in terms of a compromise between foveal and peripheral information gain. The benefit of this bias in natural vision is discussed in the context of bottom-up and top-down theories.

This volume explores the latest eye-tracking methodologies that help researchers understand the background, methods, and applications involved in these studies. The chapters in this book cover topics such as methods and models of eye-tracking in natural environments; natural gaze informatics (i.e., assisted wheelchair mobility); eye-tracking application to understand the visual control of locomotion; eye movement in neurological disorders; and eye movements in sports research and practice. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and practical, Eye Tracking: Background, Methods, and Applications is a valuable resource for experienced and novice researchers interested in learning more about this field and its future developments.

This book contains selected papers presented at the 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Windisch, Switzerland, in August 2019. The 22 full papers included in this volume were carefully reviewed and selected from 31 submissions. Also included are reviewed papers summarizing the results of workshops and tutorials that were held at the Summer School as well as papers contributed by several of the invited speakers. The papers combine interdisciplinary approaches to bring together a host of perspectives, which are reflected in the topical sections: language and privacy; law, ethics and AI; biometrics and privacy; tools supporting data protection compliance; privacy classification and security assessment; privacy enhancing technologies in specific contexts. The chapters "What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking" and "Privacy Implications of Voice and Speech Analysis - Information Disclosure by Inference" are open access under a CC BY 4.0 license at link.springer.com.

This groundbreaking resource offers a comprehensive overview of cutting-edge video-based eye monitoring algorithms, as well as human factor algorithms and experiments. Helping to apply the skills in Intelligent Human Machine Interaction (IHMI), this practical reference shows how the core low-level building blocks are implemented and how they are linked with human factor algorithms and human-machine interfaces (HMI) in smart vehicles, sensitive environments and medical facilities.

Eye tracking is a widely used research method, but there are many questions and misconceptions about how to effectively apply it. Eye Tracking the User Experience—the first how-to book about eye tracking for UX practitioners—offers step-by-step advice on how to plan, prepare, and conduct eye tracking studies; how to analyze and interpret eye movement data; and how to successfully communicate eye tracking findings.