Abstract
Most research on group recommender systems relies on the assumption that individuals have conicting preferences; in order to generate group recommendations the system should identify a fair way of aggregating these preferences. Both empirical studies and theoretical frameworks have tried to identify the most effective preference aggregation techniques without coming to definite conclusions. In this paper, we propose to approach group recommendation from the group dynamics perspective and analyze the group decision mak- ing process for a particular task (in the travel domain). We observe several individual and group properties and corre- late them to choice satisfaction. Supported by these initial results we therefore advocate for the development of new group recommendation techniques that consider group dy- namics and support the full group decision making process.