🤖 AI Summary
Existing HCI research insufficiently explores tangible user interfaces (TUIs) for bimanual, real-world tasks—such as cooking—and lacks effective methods to transform textual recipes into spatialized, context-aware interactive experiences. This paper introduces SPICE, the first systematic TUI framework designed specifically for everyday bimanual physical manipulation. SPICE integrates real-time object tracking, agent-driven kitchen simulation, and a vision-language large model (VLLM) to jointly enable environment perception and semantic recipe understanding; it dynamically projects step-by-step instructions onto physical cooking surfaces, creating an accessible, interactive tangible interface. A controlled study with 30 participants demonstrates that SPICE significantly reduces task completion time (p < 0.01) and minimizes procedural interruptions (p < 0.001), validating its efficacy in enhancing interaction fluency and task continuity. The work establishes a novel paradigm for deploying TUIs in complex, dynamic physical environments.
📝 Abstract
Tangible User Interfaces (TUI) for human--computer interaction (HCI) provide the user with physical representations of digital information with the aim to overcome the limitations of screen-based interfaces. Although many compelling demonstrations of TUIs exist in the literature, there is a lack of research on TUIs intended for daily two-handed tasks and processes, such as cooking. In response to this gap, we propose SPICE (Smart Projection Interface for Cooking Enhancement). SPICE investigates TUIs in a kitchen setting, aiming to transform the recipe following experience from simply text-based to tangibly interactive. SPICE uses a tracking system, an agent-based simulation software, and vision large language models to create and interpret a kitchen environment where recipe information is projected directly onto the cooking surface. We conducted comparative usability and a validation studies of SPICE, with 30 participants. The results show that participants using SPICE completed the recipe with far less stops and in a substantially shorter time. Despite this, participants self-reported negligible change in feelings of difficulty, which is a direction for future research. Overall, the SPICE project demonstrates the potential of using TUIs to improve everyday activities, paving the way for future research in HCI and new computing interfaces.