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A Digital Companion for Air Travelers

Published:25 February 2021Publication History

ABSTRACT

Digital voice assistants (e.g., Alexa, and Siri) have increased users’ acceptance and expectations in getting immediate help from smart agents available in smartphones and IoT devices. However, such assistants are capable of performing simple tasks that can be accomplished with specific commands, and minimum user interaction, e.g., “play some music”. A Digital Companion goes beyond assisting to complete a task upon request, a Digital Companion knows its users, the environment they interact with, and their relationship with other users, it learns with time, gathers information from heterogenous sources, analyzes it, and provides relevant and suitable information and recommendations about available services. Thus, a Digital Companion frees users from redundant, boring tasks; allowing them to focus on the meaningful parts of their activities. In this paper, an instance of a Digital Companion is presented, which combines semantic technologies and speech recognition to provide air travelers with a tool that enhances their experience at airports.

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References

  1. Bogicevic, Vanja, Wan Yang, Cihan Cobanoglu, Anil Bilgihan, and Milos Bujisic. "Traveler anxiety and enjoyment: The effect of airport environment on traveler's emotions." Journal of Air Transport Management 57 (2016): 122-129.Google ScholarGoogle ScholarCross RefCross Ref
  2. Braun, Michael, Anja Mainz, Ronee Chadowitz, Bastian Pfleging, and Florian Alt. "At your service: Designing voice assistant personalities to improve automotive user interfaces." In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1-11. 2019.Google ScholarGoogle Scholar
  3. Følstad, Asbjørn, and Marita Skjuve. "Chatbots for customer service: user experience and motivation." In Proceedings of the 1st International Conference on Conversational User Interfaces, pp. 1-9. 2019.Google ScholarGoogle Scholar
  4. Khatri, Chandra, Behnam Hedayatnia, Anu Venkatesh, Jeff Nunn, Yi Pan, Qing Liu, Han Song "Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize." arXiv preprint arXiv:1812.10757 (2018).Google ScholarGoogle Scholar
  5. Kritzler, Mareike, Jack Hodges, Dan Yu, Kimberly García, Hemant Shukla, and Florian Michahelles. "Digital Companion for Industry." In Companion Proceedings of The 2019 World Wide Web Conference, pp. 663-667. 2019.Google ScholarGoogle Scholar
  6. Livingstone, Alison, Vesna Popovic, Ben J. Kraal, and Philip J. Kirk. "Understanding the airport passenger landside retail experience." DRS 2012 Bangkok–Research: Uncertainty, Contradiction and Value 1 (2012).Google ScholarGoogle Scholar
  7. Mayer, Simon, Jack Hodges, Dan Yu, Mareike Kritzler, and Florian Michahelles. "An open semantic framework for the industrial Internet of Things." IEEE Intelligent Systems 32, no. 1 (2017): 96-101.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Myers, Chelsea, Anushay Furqan, Jessica Nebolsky, Karina Caro, and Jichen Zhu. "Patterns for how users overcome obstacles in voice user interfaces." In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1-7. 2018.Google ScholarGoogle Scholar
  9. Walanchalee Wattanacharoensil, Markus Schuckert, and Anne Graham. "An airport experience framework from a tourism perspective." Transport reviews 36, no. 3 (2016): 318-340Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Other conferences
    MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services
    October 2020
    248 pages
    ISBN:9781450380522
    DOI:10.1145/3406324

    Copyright © 2020 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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 25 February 2021

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    • extended-abstract
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    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate202of906submissions,22%

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