This paper develops a theoretical and practical framework for "input" — the design, interpretation, and optimization of signals, prompts, and data used to elicit useful outputs from systems ranging from humans to machines. We propose a taxonomy of input types, mathematical models for input–response dynamics, principled methods for robust input design under uncertainty, and evaluation metrics. We illustrate applications in human-computer interaction, prompt engineering for large language models, sensor design in cyber-physical systems, and education.
Even seasoned users commit sins against the art. Avoid these pitfalls: the art of inputwo pdf
Point your phone at a printed QR code on a paper document. The corresponding digital PDF opens in AR, allowing you to input notes via holographic keyboard that syncs back to the cloud file. The physical and digital merge. This paper develops a theoretical and practical framework
The masters of input do not write one perfect prompt. They write a conversation. Example evolution:
Cycle:
Example evolution: