Title :
Providing tablets as collaborative-task workspace for human-robot interaction
Author :
Hae Won Park ; Howard, Alex
Author_Institution :
Human-Autom. Syst. Lab., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
In a recent conference on assistive technology in special education and rehabilitation, over 54 percentage of the sessions were directly or indirectly involved with tablets. Following this trend, many traditional assistive technologies are now transitioning from standalone devices into apps on mobile devices. As such, this paper follows this trend by discussing transforming a tablet into an HRI research platform where our robotic system engages the user in social interaction by learning how to operate a given app (task) using guidance from the user. The objective is to engage the robot within the context of the user´s task by understanding the task´s underlying rules and structures. An overview of the HRI toolkit is presented and a knowledge-based approach in modeling a task is discussed where previously learned cases are reused to solve a new problem.
Keywords :
control engineering computing; human-robot interaction; learning (artificial intelligence); learning systems; mobile computing; notebook computers; task analysis; HRI research platform; HRI toolkit; assistive technology; case learning; collaborative-task workspace; human-robot interaction; knowledge-based approach; mobile device apps; rehabilitation; robotic system; social interaction; special education; standalone devices; task structure; task underlying rules; user guidance; user task; Cognition; Context; Databases; Education; Knowledge based systems; Robot sensing systems; Collaborative HRI toolkit; case-based reasoning; tablet shared workspace; task learning;
Conference_Titel :
Human-Robot Interaction (HRI), 2013 8th ACM/IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4673-3099-2
Electronic_ISBN :
2167-2121
DOI :
10.1109/HRI.2013.6483574