Idea Spotter and Comment Interpreter: Sensemaking tools for Idea Management Systems

Agnes Sandor Gregorio Convertino Marcos Baez

Regular contributors and facilitators using current idea management systems face the problem of information overload. With large numbers of ideas to be assessed or refined, they lack adequate support to efficiently make sense of unstructured idea descriptions and comments. We propose two sensemaking tools as enhancements of current idea management systems: the idea spotter and the comment interpreter. Both integrate interactive user interfaces that use the output of automatic linguistic analysis of ideas and comments. In this workshop paper we present the prototypes, their preliminary evaluation, and the next steps in this research.