demonstration

Having an Animated Coffee with a Group of Chatbots from the 19^th Century

Authors:

Heloisa Candello,

Claudio Pinhanez,

Mauro Carlos Pichiliani,

Melina Alberio Guerra,

Maira Gatti de BayserAuthors Info & Claims

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: D206, Pages 1 - 4

https://doi.org/10.1145/3170427.3186519

Published: 20 April 2018 Publication History

Get Access

Abstract

Beyond current dyadic chatbots and voice-based personal assistants, this demo showcases a novel experience where users interact with multiple, text-based conversational systems as if seating around a table with them. Two key technologies allow the seamless interaction between users and chatbots: (1) A state-of-art artificial conversational governance system which allows a natural flow of conversation without the use of vocatives to trigger the chatbot responses; (2) a conversation visualization mechanism where the utterances from participants are aesthetically projected on a tabletop. Those technologies were developed originally for "Café com os Santiagos" an artwork where visitors conversed with three chatbots portraying characters from a book in a scenographic space recreating a 19th-century coffee table. The demo allows users to seat to actually have coffee and chat with multi-chatbots characters.

Supplementary Material

suppl.mov (demo2373-file6.mp4)

Supplemental video

Download
13.96 MB

suppl.mov (demo2373.mp4)

Supplemental video

Download
18.10 MB

References

[1]

John Langshaw Austin. 1975. How to do things with words. Oxford university press.

Google Scholar

[2]

J. Cassell, T. Bickmore, M. Billinghurst, L. Campbell, K. Chang, H. Vilhjálmsson, and H. Yan. 1999. Embodiment in Conversational Interfaces: Rea. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '99), 520--527.

Digital Library

Google Scholar

[3]

Maira Gatti de Bayser, Paulo Cavalin, Renan Souza, Alan Braz, Heloisa Candello, Claudio Pinhanez, and Jean-Pierre Briot. 2017. A Hybrid Architecture for Multi-Party Conversational Systems. arXiv:1705.01214 {cs}. Retrieved from http://arxiv.org/abs/1705.01214

Google Scholar

[4]

Emanuela Haller and Traian Rebedea. 2013. Designing a chat-bot that simulates an historical figure. In Control Systems and Computer Science (CSCS), 2013 19th International Conference on, 582--589.

Digital Library

Google Scholar

[5]

Christian Kroos and Damith C. Herath. 2012. Evoking agency: attention model and behavior control in a robotic art installation. Leonardo 45, 5: 401--407.

Crossref

Google Scholar

[6]

Ewa Luger and Abigail Sellen. 2016. Like having a really bad PA: the gulf between user expectation and experience of conversational agents. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 5286--5297.

Digital Library

Google Scholar

[7]

Harvey Sacks, Emanuel A. Schegloff, and Gail Jefferson. 1974. A Simplest Systematics for the Organization of Turn-Taking for Conversation. Language 50, 4: 696--735.

Crossref

Google Scholar

[8]

Richard Salmon and Garth Paine. 2013. Embodiment: auditory visual enhancement of interactive environments. In Proceedings of the 7th International Conference on Tangible, Embedded and Embodied Interaction, 129--136.

Digital Library

Google Scholar

[9]

David R. Traum. 1999. Speech Acts for Dialogue Agents. In Foundations of Rational Agency. Springer, Dordrecht, 169--201.

Google Scholar

[10]

Stavros Vassos, Eirini Malliaraki, Federica dal Falco, Jessica Di Maggio, Manlio Massimetti, Maria Giulia Nocentini, and Angela Testa. 2016. Art-Bots: Toward Chat-Based Conversational Experiences in Museums. In Interactive Storytelling: 9th International Conference on Interactive Digital Storytelling, ICIDS 2016, Los Angeles, CA, USA, November 15--18, 2016, Proceedings 9, 433--437.

Google Scholar

[11]

Tom White and David Small. 1998. An Interactive Poetic Garden. In CHI 98 Conference Summary on Human Factors in Computing Systems (CHI '98), 335--336.

Digital Library

Google Scholar

Cited By

View all

Cowan BClark LCandello HTsai J(2023)Introduction to this special issue: guiding the conversation: new theory and design perspectives for conversational user interfacesHuman–Computer Interaction10.1080/07370024.2022.216190538:3-4(159-167)Online publication date: 5-Jan-2023
https://doi.org/10.1080/07370024.2022.2161905
Bird JEkárt AFaria D(2021)Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classificationJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-021-03439-8Online publication date: 23-Aug-2021
https://doi.org/10.1007/s12652-021-03439-8
Ambrisi AAversa RFicco MCacace DVenticinque S(2021)Intelligent Cloud Agents in Multi-participant Conversations for Cyber-Physical Exploitation of Cultural HeritageAdvanced Information Networking and Applications10.1007/978-3-030-75078-7_11(97-106)Online publication date: 1-May-2021
https://doi.org/10.1007/978-3-030-75078-7_11
Show More Cited By

Index Terms

Having an Animated Coffee with a Group of Chatbots from the 19^th Century
1. Human-centered computing

Recommendations

Exploring how politeness impacts the user experience of chatbots for mental health support
Abstract
Politeness is important in human–human interaction when asking people to engage in sensitive conversations. If politeness manifests similarly in human–chatbot interaction, it may play an important role in the design of sensitive chatbot ...
Highlights
- Politeness can both positively and negatively impact the chatbot user experience.
- The Personal politeness chatbot was experienced as caring and encouraging.
- The Passive politeness chatbot was experienced as too apologetic and ...
User Engagement with Chatbots: A Discursive Psychology Approach
CUI '20: Proceedings of the 2nd Conference on Conversational User Interfaces

Conversational agents have transcended into multiple industries with increased ability for user engagement in intelligent conversation. Conversations with chatbots are different from interpersonal communication in terms of turn-taking, intentions, and ...
Understanding the user experience of customer service chatbots: An experimental study of chatbot interaction design
Highlights
- User experience is impacted by interaction style and conversation types in customer service chatbots.
Abstract
Understanding the user experience of chatbots for customer service is essential to realize the potential of this technology. Such chatbots are typically designed for efficient and effective interactions, accentuating pragmatic quality, ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

3155 pages

ISBN:9781450356213

DOI:10.1145/3170427

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2018

Check for updates

Author Tags

Qualifiers

Demonstration

Conference

CHI '18

Sponsor:

SIGCHI

CHI '18: CHI Conference on Human Factors in Computing Systems

April 21 - 26, 2018

Montreal QC, Canada

Acceptance Rates

CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
439
Total Downloads

Downloads (Last 12 months)49
Downloads (Last 6 weeks)2

Reflects downloads up to 30 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Cowan BClark LCandello HTsai J(2023)Introduction to this special issue: guiding the conversation: new theory and design perspectives for conversational user interfacesHuman–Computer Interaction10.1080/07370024.2022.216190538:3-4(159-167)Online publication date: 5-Jan-2023
https://doi.org/10.1080/07370024.2022.2161905
Bird JEkárt AFaria D(2021)Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classificationJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-021-03439-8Online publication date: 23-Aug-2021
https://doi.org/10.1007/s12652-021-03439-8
Ambrisi AAversa RFicco MCacace DVenticinque S(2021)Intelligent Cloud Agents in Multi-participant Conversations for Cyber-Physical Exploitation of Cultural HeritageAdvanced Information Networking and Applications10.1007/978-3-030-75078-7_11(97-106)Online publication date: 1-May-2021
https://doi.org/10.1007/978-3-030-75078-7_11
Chaves ABernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Should my Chatbot be Register-Specific? Designing Appropriate Utterances for TourismExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3375033(1-11)Online publication date: 25-Apr-2020
https://dl.acm.org/doi/10.1145/3334480.3375033
Seering JLuria MYe CKaufman GHammer JBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)It Takes a Village: Integrating an Adaptive Chatbot into an Online Gaming CommunityProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376708(1-13)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376708
Chaves AGerosa M(2020)How Should My Chatbot Interact? A Survey on Social Characteristics in Human–Chatbot Interaction DesignInternational Journal of Human–Computer Interaction10.1080/10447318.2020.184143837:8(729-758)Online publication date: 8-Nov-2020
https://doi.org/10.1080/10447318.2020.1841438
Wicke PVeale T(2020)The Show Must Go On: On the Use of Embodiment, Space and Gesture in Computational StorytellingNew Generation Computing10.1007/s00354-020-00106-y38:4(565-592)Online publication date: 5-Sep-2020
https://dl.acm.org/doi/10.1007/s00354-020-00106-y
Seering JLuria MKaufman GHammer JBrewster SFitzpatrick GCox AKostakos V(2019)Beyond Dyadic InteractionsProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300680(1-13)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300680

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Exploring how politeness impacts the user experience of chatbots for mental health support

User Engagement with Chatbots: A Discursive Psychology Approach

Understanding the user experience of customer service chatbots: An experimental study of chatbot interaction design