
Explore improved methods for analyzing diverse user experience judgments, including VARCLUS clustering and its integration into ILLMO for interactive statistical analysis.

Innovative trackpad gesture typing method for efficient command activation, reducing time by 43% compared to menus and achieving 91% adoption rate in experimental settings.

Explore 3D printed acoustic meta-surfaces for sound manipulation, including collimators and magnifying glasses, with potential applications in VR and immersive audio experiences.

Explores challenges in cross-disciplinary HCI research, examining power dynamics, divergent understandings of design, and the impact of various discourses and epistemologies on collaborative projects.

Exploring VR integration in informal learning environments across Atlanta and Mumbai, focusing on co-design and content creation to enhance accessibility and inclusivity in diverse educational settings.

Explores gendered experiences of smart home early adopters, focusing on protection, productivity, and pleasure. Identifies design challenges and opportunities for HCI designers to address gender-related issues.

Explores design requirements for a digital tool to support older adults with multiple chronic conditions in self-management, based on a qualitative study with 125 participants across two European countries.

Explore IoT design with older adults using the Un-Kit Experience, a co-design approach for creating personalized, meaningful IoT applications through in-home workshops and open-ended conversations.

Explores theories and strategies for effective digital interventions to modify habitual behaviors, introducing the Habit Alteration Model to guide the design of impactful behavior change technologies.

Exploring the role of emotions in experience-centered design, examining how designers navigate and utilize their own emotional responses to enhance the design process and user empathy.

Explore AI-powered design ideation using cooperative contextual bandits. Learn how this machine learning method adapts to suggest relevant materials, enhancing creativity while maintaining designer control.

Innovative study explores using scent-based displays to communicate system uncertainty in automated vehicles, potentially improving driver awareness and trust calibration.

Explores cultural influences on trust in automation across U.S., Taiwan, and Turkey, examining reliability and workload effects in target detection tasks. Provides insights for cross-cultural system design.

Análisis de problemas reportados por usuarios en aplicaciones inteligentes cotidianas, revelando desafíos en contenido, algoritmos, elección del usuario y retroalimentación, con implicaciones para el diseño de sistemas de apoyo.

Explore automated rationale generation for explainable AI, including data collection, neural network training, and user perception studies. Insights on human preferences for AI explanations.

Explores an approach for generating and ranking natural language command examples in multimodal interfaces, demonstrating its effectiveness through a prototype image editing tool and user study.

Explore 3D neuron databases using augmented reality for enhanced web browsing, data analysis, and comparison. ImWeb enables immersive analytics across multiple platforms for efficient exploration of large-scale datasets.

Explore a novel end-user programming system that translates natural language commands into Python code, bridging the gap between human intent and programming constructs.

Innovative approach using crowdsourcing to evaluate and improve clustered search results, enhancing user exploration and discovery in large result sets.

Explore Verifi2, a visual analytics system for investigating misinformation on social media. Learn to distinguish suspicious news using linguistic, network, and image features.

Explores impact of explanations and algorithm accuracy on user perception of artistic image recommender systems, revealing interplay between interface design and underlying algorithms in user experience.