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Apprentice of Oz: Human in the Loop System for Conversational Robot Wizard of Oz
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Ahnjae | - |
dc.contributor.author | Oh, JongHwan | - |
dc.contributor.author | Lee, Joonhwan | - |
dc.date.accessioned | 2022-11-22T08:52:51Z | - |
dc.date.available | 2022-11-22T08:52:51Z | - |
dc.date.created | 2022-10-17 | - |
dc.date.issued | 2019-03 | - |
dc.identifier.citation | HRI '19: 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, pp.516-517 | - |
dc.identifier.issn | 2167-2121 | - |
dc.identifier.uri | https://hdl.handle.net/10371/187161 | - |
dc.description.abstract | Conversational robots that exhibit human-level abilities in physical and verbal conversation are widely used in human-robot interaction studies, along with the Wizard of Oz protocol. However, even with the protocol, manipulating the robot to move and talk is cognitively demanding. A preliminary study with a humanoid was conducted to observe difficulties wizards experienced in each of four subtasks: attention, decision, execution, and reflection. Apprentice of Oz is a human-in-the-loop Wizard of Oz system designed to reduce the wizard's cognitive load in each subtask. Each task is co-performed by the wizard and the system. This paper describes the system design from the view of each subtask. | - |
dc.language | 영어 | - |
dc.publisher | IEEE | - |
dc.title | Apprentice of Oz: Human in the Loop System for Conversational Robot Wizard of Oz | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/HRI.2019.8673205 | - |
dc.citation.journaltitle | HRI '19: 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION | - |
dc.identifier.wosid | 000467295400071 | - |
dc.identifier.scopusid | 2-s2.0-85063999280 | - |
dc.citation.endpage | 517 | - |
dc.citation.startpage | 516 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Lee, Joonhwan | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
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