10 likes | 153 Vues
This research explores the development of an untethered human interaction device in the form of a plush toy, designed to offer a fun and personalized companion for younger users. Utilizing reinforcement learning techniques, the device aims to train and create a pervasive model of user behavior, enhancing the interaction experience. Through wireless communication, the plush toy can not only engage with the user but also interact and learn from other devices within its environment, paving the way for advanced user interfaces in wireless settings.
E N D
Smart Internet Technology Research Group Collaborative Tangible User Interfaces for Wireless Environments Supervised by Bob Kummerfeld Trent Apted tapted@it.usyd.edu.au • An untethered human interaction device in the form of a plush toy can be used to provide a fun, personalised companion for younger users • Reinforcement learning can be used to train the device and generate a pervasive model of the user • Wireless communication allows interaction and learning not only with the user but also with other devices