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extended-abstract

DesertWoZ: A Wizard of Oz Environment to Support the Design of Collaborative Conversational Agents

Authors:

Hamish Stening,

Patrick Nalepka,

Erik D. Reichle,

Christopher J. Best,

Deborah Richards,

Michael J. RichardsonAuthors Info & Claims

CSCW'22 Companion: Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing

Pages 188 - 192

https://doi.org/10.1145/3500868.3559711

Published: 08 November 2022 Publication History

Abstract

The use of conversational agents to support team-based training in virtual environments is a nascent area of research within the Computer Supported Collaborative Work (CSCW) and Conversational User Interface (CUI) communities. To support this research, we developed a Wizard of Oz (WoZ) system enabling experimenters to play the role of the conversational agent who must work with a team of three human participants to herd together a group of autonomous robots (target agents) within a virtual task environment. The experimenter can select from one of several tailored responses. The aim of this environment is to determine whether the identified responses facilitate effective team performance and to collect training data to build a conversational agent capable of engaging in team based virtual learning environments.

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Cited By

Rayan JKanetkar DGong YYang YPalani SXia HDow S(2024)Exploring the Potential for Generative AI-based Conversational Cues for Real-Time Collaborative IdeationProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656184(117-131)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656184

Index Terms

DesertWoZ: A Wizard of Oz Environment to Support the Design of Collaborative Conversational Agents
1. Applied computing
  1. Education
    1. Collaborative learning
2. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing

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Information & Contributors

Information

Published In

cover image ACM Conferences

CSCW'22 Companion: Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing

November 2022

318 pages

ISBN:9781450391900

DOI:10.1145/3500868

Editors:
Gary Hsieh
University of Washington, Seattle, USA
,
Anthony Tang
University of Toronto, Toronto, Canada
,
Morgan G. Ames
University of California Berkeley, Berkeley, USA
,
Sharon Ding
University of Glasgow, Glasgow, UK
,
Susan Fussell
Cornell University, Ithaca, USA
,
Vera Liao
Microsoft Research, Montreal, Canada
,
Andrés Monroy-Hernández
Princeton University, Princeton, USA
,
Sean Munson
University of Washington, Seattle, USA
,
Irina Shklovski
University of Copenhagen, Copenhagen, Denmark
,
John Tang
Microsoft Research, Sunnyvale, USA

Copyright © 2022 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 November 2022

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Extended-abstract
Research
Refereed limited

Funding Sources

Australian Department of Defence

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CSCW '22

Sponsor:

SIGCHI

CSCW '22: Computer Supported Cooperative Work and Social Computing

November 8 - 22, 2022

Virtual Event, Taiwan

Acceptance Rates

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Cited By

Rayan JKanetkar DGong YYang YPalani SXia HDow S(2024)Exploring the Potential for Generative AI-based Conversational Cues for Real-Time Collaborative IdeationProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656184(117-131)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656184

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