At the 16.10.2018 we were able to present on the interactive visualization of ideation outcomes at the UIST Conference in Berlin. Presenting the poster were Maximilian Mackeprang and Johann Strama.

Abstract

Evaluating and selecting ideas is a critical and time-consuming step in collaborative ideation, making computational support for this task a desired research goal. However, existing automatic approaches to idea selection might eliminate valuable ideas. In this work we combine automatic approaches with human sensemaking. Kaleidoscope is an exploratory data analytics tool based on semantic technologies. It supports users in exploring and annotating existing ideas interactively. In the following, we present key design principles of Kaleidoscope. Based on qualitative feedback collected on a prototype, we identify potential improvements and describe future work.

The poster abstract is available at the ACM Digital Library.