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Perceived Usefulness of Conversational Agents Predicts Search Performance in Aerospace Domain

Published: 22 July 2020 Publication History

Abstract

This paper presents a user-centered approach to the design and evaluation of conversational search user interfaces to support the pilot in cockpits. Our findings of a controlled user experiment suggest that user perception of the usefulness of the system in completing the search task and the system's responses to the relevance of the topic are good predictors of search performance. User satisfaction with the system's responses may not be a good predictor of search performance in the context of safety of life scenarios such as cockpit procedures for pilots.

References

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Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, and W Bruce Croft. 2019. Asking Clarifying Questions in Open-Domain Information-Seeking Conversations. In Proceedings of the ACM SIGIR Conference (SIGIR '19). ACM, New York, 475--484. https://doi.org/10.1145/3331184.3331265
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Alexandre Arnold, Gérard Dupont, Catherine Kobus, and François Lancelot. 2019. Conversational agent for aerospace question answering: A position paper. In Proceedings of the 1st Workshop on Conversational Interaction Systems (WCIS at SIGIR). Paris. https://drive.google.com/file/d/1yEw4Kj9c04PScdnaHkwPTiACBJ8AL-G3/view
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Tom Bocklisch, Joey Faulkner, Nick Pawlowski, and Alan Nichol. 2017. Rasa: Open Source Language Understanding and Dialogue Management. arXiv:arXiv:1712.05181
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Pavel Braslavski, Denis Savenkov, Eugene Agichtein, and Alina Dubatovka. 2017. What Do You Mean Exactly?: Analyzing Clarification Questions in CQA. In Proceedings of the ACM CHIIR Conference (CHIIR '17). ACM, New York, 345--348. https://doi.org/10.1145/3020165.3022149
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Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017. Reading Wikipedia to Answer Open-Domain Questions. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Vancouver, Canada. https://doi.org/10.18653/v1/p17--1171
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Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W Black, Alexander Rudnicky, Jason Williams, Joelle Pineau, Mikhail Burtsev, and Jason Weston. 2020. The Second Conversational Intelligence Challenge (ConvAI2).In The NeurIPS '18 Competition: From Machine Learning to Intelligent Conversations, Sergio Escalera and Ralf Herbrich (Eds.). Springer International Publishing, Cham, 187--208. https://doi.org/10.1007/978--3-030-29135-8_7
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Roger E. Kirk. 2013. Experimental Design: Procedures for the Behavioral Sciences (4th ed.). Brooks/Cole, Pacific Grove, CA.
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Filip Radlinski and Nick Craswell. 2017. A Theoretical Framework for Conversational Search. In Proceedings of the ACM CHIIR Conference (CHIIR '17). ACM, New York, 117--126. https://doi.org/10.1145/3020165.3020183
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Stephen Robertson and Hugo Zaragoza. 2009. The Probabilistic Relevance Framework: BM25 and Beyond. Found. Trends Inf. Retr. 3, 4 (2009), 333--389. https://doi.org/10.1561/1500000019
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Cited By

View all
  • (2023)Psychological assessment of AI-based decision support systems: tool development and expected benefitsFrontiers in Artificial Intelligence10.3389/frai.2023.12493226Online publication date: 25-Sep-2023
  • (2023)User Evaluation of Conversational Agents for Aerospace DomainInternational Journal of Human–Computer Interaction10.1080/10447318.2023.223954440:19(5549-5568)Online publication date: 2-Aug-2023
  • (2021)Understanding the Utility of Digital Flight Assistants: A Preliminary AnalysisProceedings of the 3rd Conference on Conversational User Interfaces10.1145/3469595.3469627(1-5)Online publication date: 27-Jul-2021
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Other conferences
CUI '20: Proceedings of the 2nd Conference on Conversational User Interfaces
July 2020
271 pages
ISBN:9781450375443
DOI:10.1145/3405755
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2020

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Author Tags

  1. Aerospace industry
  2. Conversational agent
  3. Conversational search
  4. Question answering
  5. User study

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  • Demonstration
  • Research
  • Refereed limited

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CUI '20

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CUI '20 Paper Acceptance Rate 13 of 39 submissions, 33%;
Overall Acceptance Rate 34 of 100 submissions, 34%

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Cited By

View all
  • (2023)Psychological assessment of AI-based decision support systems: tool development and expected benefitsFrontiers in Artificial Intelligence10.3389/frai.2023.12493226Online publication date: 25-Sep-2023
  • (2023)User Evaluation of Conversational Agents for Aerospace DomainInternational Journal of Human–Computer Interaction10.1080/10447318.2023.223954440:19(5549-5568)Online publication date: 2-Aug-2023
  • (2021)Understanding the Utility of Digital Flight Assistants: A Preliminary AnalysisProceedings of the 3rd Conference on Conversational User Interfaces10.1145/3469595.3469627(1-5)Online publication date: 27-Jul-2021
  • (2021)Why Do You Trust Siri?Proceedings of the Association for Information Science and Technology10.1002/pra2.46458:1(366-379)Online publication date: 13-Oct-2021

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