Recent technological advances popularized the use of image generation among the general public. Crafting effective prompts can, however, be difficult for novice users. To tackle this challenge, we developed PromptMap, a new interaction style for text-to-image AI that allows users to freely explore a vast collection of synthetic prompts through a map-like view with semantic zoom. PromptMap groups images visually by their semantic similarity, allowing users to discover relevant examples. We evaluated PromptMap in a between-subject online study ($n=60$) and a qualitative within-subject study ($n=12$). We found that PromptMap supported users in crafting prompts by providing them with examples. We also demonstrated the feasibility of using LLMs to create vast example collections. Our work contributes a new interaction style that supports users unfamiliar with prompting in achieving a satisfactory image output.

Building tangible interfaces or data physicalizations is a resource-intensive endeavour. There is a need for rapid means to prototype tangibles in order to facilitate research and design. To this end, we designed ProtoBricks: a research toolkit that uses capacitive bricks to facilitate rapid prototyping for tangible interfaces. Utilizing toy bricks that do not contain electronics, ProtoBricks can record brick position and color. Specialized knowledge is not required to build our system as it uses widely available components and 3D printing. We contribute the full software and hardware specification of the toolkit. We evaluate the utility of the toolkit by reporting on past use cases and prototyping workshops. We show that the toolkit facilitates creativity and effectively supports prototyping. ProtoBricks lowers the entry threshold for experimenting with tangible interfaces and enables researchers and designers to focus on the interaction with their prototype, delegating implementation to the toolkit.

Many interactive systems that support tabletop games either augment the experience with additional elements or transform game components into digital counterparts, e.g., using mixed reality. However, as many users prefer tangible game elements, digital augmentations can disrupt the immersion they seek to enhance, often due to the complexity of the hardware used. Responding to this challenge, we designed a screenless interactive tabletop system with capacitive sensing. The system is suitable for novice players and provides automatic score-keeping. Our method eliminates the need for external sensors and retains all original game pieces intact. We evaluated our system in a study with a forest planting game (n = 20). Gameplay with our system exhibited shorter turn duration, and participants adopted more effective strategies than in traditional gameplay. These results underscore the potential of screenless interactive tabletops to amplify the gaming experience without causing distractions.

Blending theoretical knowledge with applicable skills is one of the most important challenges in modern higher education, especially in STEM areas. Therefore, new approaches emerge to develop educational capabilities. We aim to facilitate classes in experimental chemistry to enhance reflection and attitude towards the subject. We present ARchemist - laboratory task management tool, designed to enhance students' self-awareness and control over performed hands-on exercises. ARchemist takes advantage of mobile augmented reality solutions to provide in-situ guidance for laboratory procedures. We contribute a research prototype designed in cooperation with students and lecturers and present reflections from early evaluation in real-case class scenario. Results show that interactive guidance tools may successfully boost students' confidence and contribute to more efficient and organized classroom workflow.