{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/applying-the-wizard-of-oz-technique-to","title":"Applying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue","arxiv_id":"1703.03714","date":"2017-03-10","proceeding":null,"authors":["Matthew Marge","Claire Bonial","Brendan Byrne","Taylor Cassidy","A. William Evans","Susan G. Hill","Clare Voss"],"abstract":"Our overall program objective is to provide more natural ways for soldiers to\ninteract and communicate with robots, much like how soldiers communicate with\nother soldiers today. We describe how the Wizard-of-Oz (WOz) method can be\napplied to multimodal human-robot dialogue in a collaborative exploration task.\nWhile the WOz method can help design robot behaviors, traditional approaches\nplace the burden of decisions on a single wizard. In this work, we consider two\nwizards to stand in for robot navigation and dialogue management software\ncomponents. The scenario used to elicit data is one in which a human-robot team\nis tasked with exploring an unknown environment: a human gives verbal\ninstructions from a remote location and the robot follows them, clarifying\npossible misunderstandings as needed via dialogue. We found the division of\nlabor between wizards to be workable, which holds promise for future software\ndevelopment.","url_abs":"http://arxiv.org/abs/1703.03714v1","url_pdf":"http://arxiv.org/pdf/1703.03714v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"applying-the-wizard-of-oz-technique-to","repo_url":"https://github.com/USArmyResearchLab/ARL-SCOUT","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"CC0-1.0"}}],"tasks":[{"task_slug":"dialogue-management","task_name":"Dialogue Management"},{"task_slug":"management","task_name":"Management"},{"task_slug":"robot-navigation","task_name":"Robot Navigation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}