socio-ec(h)o: Ambient Intelligence and Gameplay

This paper describes the preliminary research of an ambient intelligent system known as socioec(h)o. socio-ec(h)o explores the design and implementation of an ambient intelligent system for sensing and display, user modeling, and interaction models based on game structures. Our interaction model is based on a game structure including levels, body states, goals and game skills. Body states are the body movements and positions that players must discover in order to complete a level and in turn represent a learned game skill. The paper provides an overview of background concepts and related research. We describe the game structure and prototype of our environment. We discuss the utilized games research concepts and our approach to group user models based on Richard Bartle’s game types. We explain the role of embodied cognition within our design and elaborate on what we chose to encode as embodied actions, cognition and communication. We describe how we utilized selective responses that...

• Type: Conference
• Year: 2005
• Where: DIGRA
• Authors: Ron Wakkary, Marek Hatala, Robb Lovell, Milena Droumeva, Alissa Nicole Antle, Dale Evernden, Jim Bizzocchi
• Keywords: Computer Graphics, DIGRA 2005, Game Structure, Intelligent Systems, User Model