1. Apprentice of Oz: Human in the Loop System for Conversational Robot Wizard of Oz
- Author
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Jonghwan Oh, Ahnjae Shin, and Joonhwan Lee
- Subjects
Computer science ,media_common.quotation_subject ,05 social sciences ,020207 software engineering ,02 engineering and technology ,Wizard ,Human–robot interaction ,Human–computer interaction ,Educational robotics ,0202 electrical engineering, electronic engineering, information engineering ,Task analysis ,Robot ,0501 psychology and cognitive sciences ,Conversation ,Protocol (object-oriented programming) ,050107 human factors ,Cognitive load ,media_common - 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.
- Published
- 2019
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