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Passengers in the airport: artefacts and activities

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OZCHI '09: Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group: Design: Open 24/7

Pages 349 - 352

https://doi.org/10.1145/1738826.1738894

Published: 23 November 2009 Publication History

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Abstract

This study addresses the ordinary activities of passengers in airports. Using observational techniques we investigated how passenger activities are mediated by artefacts, in this the bags that people carry. The relationship between passengers and their bags is shown to be complex and contingent on many factors. We report on our early research in the airport and document an emerging taxonomy of passenger activity. The significance of this research is in the contribution made to an understanding of passenger activities which could contribute to the design of future technologies for passenger facilitation and to airport terminal design.

References

[1]

DeVries, P. D. (2008). The state of RFID for effective baggage tracking in the airline industry. International Journal of Mobile Communications, 6(2), 151--164.

Digital Library

Google Scholar

[2]

Jordan, B. (1994). Ethnographic workplace studies and computer supported cooperative work (IRL94-0026). Palo Alto, CA: Institute for Research on Learning.

Google Scholar

[3]

Noldus (2008). The Observer. Noldus.

Google Scholar

[4]

Popovic, Vesna and Kraal, Ben J. (2008) Focus-Shift: Interaction and Expertise Level. In: Design Research Society 2008, 16--19 July 2008, Sheffield, UK.

Google Scholar

[5]

Popovic, V and Kraal, B. (2009) Passenger Experience in an Airport: An Activity-centred Approach. In: IASDR 2009: Proceedings of the International Association of Societies of Design Research Conference, 18--22 October, 2009, Seoul, Korea. (In Press)

Google Scholar

[6]

Robertson, T., Kan, M., Sadler, K., & Hagen, P. (2005). Uncovering traces of mobile practices: 'the bag study'. In Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future (pp. 1--4).

Digital Library

Google Scholar

[7]

Takakuwa, S., & Oyama, T. (2003). Modeling people flow: simulation analysis of international-departure passenger flows in an airport terminal. In Proceedings of the 35th conference on Winter simulation: driving innovation (pp. 1627--1634). New Orleans, Louisiana: Winter Simulation Conference. Retrieved May 26, 2009, from http://portal.acm.org/citation.cfm?id=1030818.1031040.

Digital Library

Google Scholar

[8]

Wyld, D. C., Jones, M. A., & Totten, J. W. (2005). Where is my suitcase? RFID and airline customer service. Marketing Intelligence & Planning, 23(4), 382--394.

Google Scholar

Cited By

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Kalakou SMoura F(2021)Analyzing passenger behavior in airport terminals based on activity preferencesJournal of Air Transport Management10.1016/j.jairtraman.2021.10211096(102110)Online publication date: Sep-2021
https://doi.org/10.1016/j.jairtraman.2021.102110
Zdanowicz KHerriotts PPayre WMangurenje DBirrell S(2021)The World’s First ‘Pop-Up’ Urban Airport: A User-Centred Design Approach to Understand the Customer JourneyHuman Interaction, Emerging Technologies and Future Systems V10.1007/978-3-030-85540-6_61(483-490)Online publication date: 10-Sep-2021
https://doi.org/10.1007/978-3-030-85540-6_61
Derjany PNamilae SLiu DSrinivasan A(2020)Computational Modeling Framework for the Study of Infectious Disease Spread through Commercial Air-Travel2020 IEEE Aerospace Conference10.1109/AERO47225.2020.9172285(1-10)Online publication date: Mar-2020
https://doi.org/10.1109/AERO47225.2020.9172285
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Index Terms

Passengers in the airport: artefacts and activities
1. Human-centered computing

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Published In

OZCHI '09: Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group: Design: Open 24/7

November 2009

445 pages

ISBN:9781605588544

DOI:10.1145/1738826

Conference Chair:
Marcus Foth
Queensland University of Technology
,
Program Chairs:
Jesper Kjeldskov
Aalborg University
,
Jeni Paay
CSIRO

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 23 November 2009

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OZCHI '09

OZCHI '09: Proceedings of the 21st conference of the computer-human interaction special interest group of Australia on Computer-human interaction: design

November 23 - 27, 2009

Melbourne, Australia

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OZCHI '09 Paper Acceptance Rate 32 of 60 submissions, 53%;

Overall Acceptance Rate 362 of 729 submissions, 50%

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Kalakou SMoura F(2021)Analyzing passenger behavior in airport terminals based on activity preferencesJournal of Air Transport Management10.1016/j.jairtraman.2021.10211096(102110)Online publication date: Sep-2021
https://doi.org/10.1016/j.jairtraman.2021.102110
Zdanowicz KHerriotts PPayre WMangurenje DBirrell S(2021)The World’s First ‘Pop-Up’ Urban Airport: A User-Centred Design Approach to Understand the Customer JourneyHuman Interaction, Emerging Technologies and Future Systems V10.1007/978-3-030-85540-6_61(483-490)Online publication date: 10-Sep-2021
https://doi.org/10.1007/978-3-030-85540-6_61
Derjany PNamilae SLiu DSrinivasan A(2020)Computational Modeling Framework for the Study of Infectious Disease Spread through Commercial Air-Travel2020 IEEE Aerospace Conference10.1109/AERO47225.2020.9172285(1-10)Online publication date: Mar-2020
https://doi.org/10.1109/AERO47225.2020.9172285
Derjany PNamilae S(2018)Computational Model for Pedestrian Movement and Infectious Diseases Spread During Air Travel2018 AIAA Modeling and Simulation Technologies Conference10.2514/6.2018-0419Online publication date: 7-Jan-2018
https://doi.org/10.2514/6.2018-0419
Cheng LReddy VFookes CYarlagadda P(2014)Agent-Based Modelling Simulation Case Study: Assessment of Airport Check-In and Evacuation Process by Considering Group Travel Behaviour of Air PassengersApplied Mechanics and Materials10.4028/www.scientific.net/AMM.568-570.1859568-570(1859-1864)Online publication date: Jun-2014
https://doi.org/10.4028/www.scientific.net/AMM.568-570.1859
Cheng LReddy VFookes CYarlagadda P(2014)Impact of Passenger Group Dynamics on an Airport Evacuation Process Using an Agent-Based ModelProceedings of the 2014 International Conference on Computational Science and Computational Intelligence - Volume 0210.1109/CSCI.2014.111(161-167)Online publication date: 10-Mar-2014
https://dl.acm.org/doi/10.1109/CSCI.2014.111

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Smart airport: an IoT-based Airport Management System

Evaluating rail transit timetable using big passengers' data

Airport Choice in Multi-airport Regions: An Empirical Study for Chinese Metropolitan Area

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