Figure 1: Many robot manipulation tasks (left) are learnt best by observing humans. Human motion can be demonstrated using virtual environments (center). Data acquisition with motion-based games makes demonstrating a fun activity (right). ABSTRACTAutonomous manipulation robots can be valuable aids as interactive agents in the home, yet it has proven extremely difficult to program their behavior. Imitation learning uses data on human demonstrations to build behavioral models for robots. In order to cover a wide range of action strategies, data from many individuals is needed. Acquiring such large amounts of data can be a challenge. Tools for data capturing in this domain must thus implement a good user experience. We propose to use human computation games in order to gather data on human manual behavior. We demonstrate the idea with a strategy game that is operated via a natural user interface. A comparison between using the game for action execution and demonstrating actions in a virtual environment shows that people interact longer and have a better experience when playing the game.
The use of digital media for interactive art installations is increasingly popular. Art and technology merge. Our intention is to create interactive art installations that offer an incentive to interact playfully with the surrounding environment. Motivated by this, we developed and realised two forms of installations: an interactive screen with several and a light cone installation.
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