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A Web-based Platform for Collection of Human-Chatbot Interactions

Published: 04 October 2016 Publication History

Abstract

Over recent years, the world has seen multiple uses for conversational agents. Chatbots has been implemented into ecommerce systems, such as Amazon Echo's Alexa [1]. Businesses and organizations like Facebook are also implementing bots into their applications. While a number of amazing chatbot platform exists, there are still difficulties in creating data-driven-systems as they large amount of data is needed for development and training. This paper we describe an advanced platform for evaluating and annotating human-chatbot interactions, its main features and goals, as well as the future plans we have for it.

References

[1]
Alexa. Amazon, 2016. https://developer.amazon.com/alexa.
[2]
Rafael E. Banchs, Haizhou Li. IRIS: a Chat-oriented Dialogue System based on the Vector Space Model. 2012.
[3]
Rafael E. Banchs. Movie-DiC: a movie dialogue corpus for research and development. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers-Volume 2, pp. 203--207. Association for Computational Linguistics, 2012.
[4]
Jerome R Bellegarda. Spoken language understanding for natural interaction: The SIRI experience. In Natural Interaction with Robots, Knowbots and Smartphones, p. 3--14. Springer. 2014.
[5]
Dascalu, Mihai, Stefan Trausan-Matu, and Philippe Dessus. Utterances assessment in chat conversations. Research in Computing Science 46, 2010: pp. 323--334.
[6]
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, and Bill Dolan. A neural network approach to context-sensitive generation of conversational responses. arXiv:1506.06714. 2015.
[7]
David C. Uthus, and David W. Aha. The Ubuntu Chat Corpus for Multiparticipant Chat Analysis. AAAI Spring Symposium: Analyzing Microtext. 2013.
[8]
Oriol Vinyals, Quoc Le. A Neural Conversational Model. 2015.
[9]
Richard S. Wallace, Be Your Own Botmaster. ALICE A.I. Foundation, 2005.
[10]
Joseph Weizenbaum, ELIZA-a computer program for the study of natural language communication between man and machine. 1966.

Cited By

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  • (2024)Artificial Intelligence System-based Chatbot as a Hotel AgentRecent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)10.2174/012352096526645923101609463017:3(316-325)Online publication date: Mar-2024
  • (2024)Beyond Text and Speech in Conversational Agents: Mapping the Design Space of AvatarsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661563(1875-1894)Online publication date: 1-Jul-2024
  • (2024)Designing an Intelligent Chatbot with Deep Learning: Leveraging FNN Algorithm for Conversational Agents to Improve the Chatbot PerformanceProceedings of World Conference on Artificial Intelligence: Advances and Applications10.1007/978-981-97-4496-1_11(143-151)Online publication date: 1-Oct-2024
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    Information

    Published In

    cover image ACM Other conferences
    HAI '16: Proceedings of the Fourth International Conference on Human Agent Interaction
    October 2016
    414 pages
    ISBN:9781450345088
    DOI:10.1145/2974804
    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.

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    • Chinese and Oriental Language Information Processing Society: Chinese and Oriental Language Information Processing Society

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 04 October 2016

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    Author Tags

    1. annotations
    2. chatbots
    3. conversational agents
    4. crowd source
    5. evaluation

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    • Poster

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    HAI '16
    Sponsor:
    • Chinese and Oriental Language Information Processing Society

    Acceptance Rates

    HAI '16 Paper Acceptance Rate 29 of 182 submissions, 16%;
    Overall Acceptance Rate 121 of 404 submissions, 30%

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    Cited By

    View all
    • (2024)Artificial Intelligence System-based Chatbot as a Hotel AgentRecent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)10.2174/012352096526645923101609463017:3(316-325)Online publication date: Mar-2024
    • (2024)Beyond Text and Speech in Conversational Agents: Mapping the Design Space of AvatarsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661563(1875-1894)Online publication date: 1-Jul-2024
    • (2024)Designing an Intelligent Chatbot with Deep Learning: Leveraging FNN Algorithm for Conversational Agents to Improve the Chatbot PerformanceProceedings of World Conference on Artificial Intelligence: Advances and Applications10.1007/978-981-97-4496-1_11(143-151)Online publication date: 1-Oct-2024
    • (2024)Intelligent Conversational Chatbots: History, Taxonomy, Classification with PRISMA ModelComputation of Artificial Intelligence and Machine Learning10.1007/978-3-031-71481-8_3(30-46)Online publication date: 25-Sep-2024
    • (2023)Personalized Gamification for Learning: A Reactive Chatbot Architecture ProposalSensors10.3390/s2301054523:1(545)Online publication date: 3-Jan-2023
    • (2023)CommunityBots: Creating and Evaluating A Multi-Agent Chatbot Platform for Public Input ElicitationProceedings of the ACM on Human-Computer Interaction10.1145/35794697:CSCW1(1-32)Online publication date: 16-Apr-2023
    • (2023)Quantifying chatbots’ ability to learn business processesInformation Systems10.1016/j.is.2023.102176113(102176)Online publication date: Jan-2023
    • (2022)A Chatbot Application by using Natural Language Processing and Artificial Intelligence Markup LanguageInternational Journal of Soft Computing and Engineering10.35940/ijsce.C3566.071232212:3(1-7)Online publication date: 30-Jul-2022
    • (2022)Contextual Conversational Agent to Address Vaccine Hesitancy: Protocol for a Design-Based Research StudyJMIR Research Protocols10.2196/3804311:8(e38043)Online publication date: 23-Aug-2022
    • (2022)Development and preliminary validity of an Indonesian mobile application for a balanced and sustainable diet for obesity managementBMC Public Health10.1186/s12889-022-13579-x22:1Online publication date: 20-Jun-2022
    • Show More Cited By

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