Current paper-based interfaces such as PapierCraft, provide very little feedback and this limits the scope of possible interactions. So far, there has been little systematic exploration of the structure, constraints, and contingencies of feedback-mechanisms in paper-based interaction systems for paper-only environments. We identify three levels of feedback: discovery feedback (e.g., to aid with menu learning), status-indication feedback (e.g., for error detection), and task feedback (e.g., to aid in a search task). Using three modalities (visual, tactile, and auditory) which can be easily implemented on a pen-sized computer, we introduce a conceptual matrix to guide systematic research on pen-top feedback for paper-based interfaces. Using this matrix, we implemented a multimodal pen prototype demonstrating the potential of our approach. We conducted an experiment that confirmed the efficacy of our design in helping users discover a new interface and identify and correct their errors.
The HCIL has a long, rich history of transforming the experience people have with new technologies. From understanding user needs, to developing and evaluating these technologies, the lab's faculty, staff, and students have been leading the way in HCI research and teaching.