
Explore the challenges of integrating visual information across optical see-through head-mounted displays and body-proximate displays, with insights on performance impacts and design trade-offs.

Investigates dark mode's impact on visual fatigue and acuity in optical see-through head-mounted displays, revealing benefits for acuity, fatigue, and usability in various lighting conditions.

Neuroergonomical study explores optimal car interior configurations for productive work during autonomous driving, assessing concentration, performance, and workload using subjective, behavioral, and EEG measures.

Exploring haptic feedback using small, wheeled robots for abstract interfaces. Investigates design space, demonstrates scenarios, and studies human perception of robotic haptic patterns.

Explore the evolution, practical implications, and future potential of tangible user interfaces with leading experts in human-computer interaction, discussing innovative applications and emerging opportunities in the field.

Explores how users search for and choose teammates on online platforms, revealing discrepancies between initial preferences and final choices, and the impact on team diversity and expertise distribution.

Explore techniques to deceive smart objects and regain control over digital sensing in ubiquitous computing environments. Learn practical interventions to increase awareness and agency in the face of pervasive sensors.

Explore the evolving roles of HCI and UX professionals in digital transformation, discussing challenges, new skills, and potential impact on business and society.

Learn to create interactive AR/VR prototypes using paper templates and 360proto tools. Explore rapid prototyping techniques for immersive environments, AR overlays, VR controllers, and more.

Exploring how children associate emotions with scents and 3D shapes, revealing crossmodal connections that can enhance multisensory interactive technologies for more inclusive design experiences.

Explore fairness in AI and its societal implications through expert insights on ethical considerations, surveillance technology, and responsible data practices.

Crash course on integrating ethical thinking in tech education, covering motivation, support, and expansion strategies for educators to foster responsible innovation.

Exploring the value of imperfect mathematical models in computing and their impact on decision-making, ethics, and societal implications in technology and data science.

Explore the intersections of health, technology, and race with Yeshimabeit Milner's insightful keynote, addressing crucial societal issues and their impact on modern healthcare and technological advancements.

Explore Bayesian inference techniques for detecting discriminatory risk in data annotation, enhancing fairness and accountability in machine learning systems.

Explore an innovative educational toolkit using value cards to teach the social impacts of machine learning through deliberation and critical thinking.

Explore GDPR-aligned transparency tools for privacy engineering with TILT, a language and toolkit designed to enhance practical implementation of data protection regulations.

Explore the ethical implications of algorithmic decision-making, focusing on fairness, equality, and power dynamics in AI systems and their societal impact.

Explore group-dependent label noise in fair classification, addressing challenges and proposing solutions for improved algorithmic fairness in machine learning models.

Explore socially fair k-means clustering algorithms, addressing fairness in machine learning and data analysis. Learn about innovative approaches to balance accuracy and social equity in clustering techniques.

Explore strategies for creating transparent and responsible technological systems, focusing on accountability in design and implementation.