Towards Computationally Creating Multi-answer Queries for the Remote Associates Test

Abstract

The Remote Associates Test is a creativity test used to assess human participants'ability for association. Small normative datasets of queries exist for this test; however, such datasets do not deal with the issue of potential multiple answers to the same test query. In this work we create a large dataset of queries to which multiple answers are possible. The computational work to create such a dataset is presented, together with the metrics relating to this dataset. The applications of this tool for the investigation and modeling of the creative processes of association in human cognition are also discussed.