Title:
Providing tablets as collaborative task workspace for human-robot interaction
Providing tablets as collaborative task workspace for human-robot interaction
| dc.contributor.author | Park, Hae Won | en_US |
| dc.contributor.author | Howard, Ayanna M. | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Human-Automation Systems Lab | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Institute for Robotics and Intelligent Machines | en_US |
| dc.date.accessioned | 2013-12-03T21:30:57Z | |
| dc.date.available | 2013-12-03T21:30:57Z | |
| dc.date.issued | 2013-03 | |
| dc.description | ©2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | en_US |
| dc.description | Presented at the 8th ACM/IEEE International Conference on Human-robot Interaction, HRI '13, Tokyo, Japan, March 3-6, 2013. | en_US |
| dc.description.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. | en_US |
| dc.identifier.citation | Park, Hae Won and Howard, Ayanna, "Providing Tablets As Collaborative-task Workspace for Human-robot Interaction," Proceedings of the 8th ACM/IEEE International Conference on Human-robot Interaction, HRI '13, Tokyo, Japan, 207-208. | en_US |
| dc.identifier.isbn | 978-1-4673-3055-8 | |
| dc.identifier.uri | http://hdl.handle.net/1853/49759 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | Institute of Electrical and Electronics Engineers | en_US |
| dc.subject | Case-based reasoning | en_US |
| dc.subject | Collaborative HRI toolkit | en_US |
| dc.subject | Tablet shared workspace | en_US |
| dc.subject | Task learning | en_US |
| dc.title | Providing tablets as collaborative task workspace for human-robot interaction | en_US |
| dc.type | Text | |
| dc.type.genre | Proceedings | |
| dc.type.genre | Post-print | |
| dspace.entity.type | Publication | |
| local.contributor.author | Howard, Ayanna M. | |
| local.contributor.corporatename | School of Civil and Environmental Engineering | |
| local.contributor.corporatename | Institute for Robotics and Intelligent Machines (IRIM) | |
| relation.isAuthorOfPublication | 6d77e175-105c-4b0b-9548-31f20e60e20a | |
| relation.isOrgUnitOfPublication | 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c | |
| relation.isOrgUnitOfPublication | 66259949-abfd-45c2-9dcc-5a6f2c013bcf |
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