BIGN

BIGN, or Binary Goal-based Interface Navigation, is a computing concept that describes a type of user interface navigation based on binary goal-setting. Developed in the late 1990s by a team of researchers, BIGN aims to improve usability and user experience by dividing the user's goals into clear, binary objectives.

In a BIGN system, the user is presented with a series of decisions that are framed as binary choices, such as "shall I prioritize this task over that one?" or "is this option the best available?" By breaking down complex decision-making processes into simple, yes-or-no choices, BIGN seeks to reduce user cognitive overload and improve decision-making speed.

BIGN has been applied in various fields, including human-computer interaction, artificial intelligence, and cognitive science. Proponents of BIGN argue that it can lead to more efficient and effective decision-making, as well as improved user satisfaction. However, detractors have raised concerns about the limitations of binary decision-making, suggesting that it may not account for the complexity and nuance of real-world problems.

Research on BIGN has shown mixed results, with some studies demonstrating significant improvements in user performance and satisfaction, while others have found little or no effect. Further investigation is needed to fully understand the potential benefits and drawbacks of BIGN.

As a concept, BIGN remains an area of ongoing research and development, with potential applications in areas such as decision support systems, expert systems, and human-computer interaction.