© 2016, International Speech Communications Association. All rights reserved. Laughter commonly occurs in daily interactions, and is not only simply related to funny situations, but also for expressing some type of attitude, having important social functions in communication. The background of the present work is generation of natural motions in a humanoid robot, so that miscommunication might be caused if there is mismatch between audio and visual modalities, especially in laughter intervals. In the present work, we analyzed a multimodal dialogue database, and investigated the relations between different types of laughter (including production type, vowel quality, laughing style, intensity and laughter functions) and different types of motion during laughter (including facial expressions, head and body motion).