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AIRSF: a new entertainment adaptive framework for stress free air travels

Published: 03 December 2008 Publication History

Abstract

In this paper, we present a new entertainment adaptive framework AIRSF for stress free air travels. Based on the passenger's current and target comfort states, user entertainment preference, and context of use, the system uses a Markov decision process to recommend context-aware and personalized stress reduction entertainment to transfer the passenger from the current state to the target comfort state with the minimum time cost if he/she is stressed, or keep the passenger at comfort state with context-aware and personalized non stress induction entertainment if the passenger is not stressed. Compared to the current in-flight entertainment framework, it can regulate the passenger's physical and psychological states to comfort states with context-aware and personalized stress reduction entertainment; Compared to the current entertainment stress reduction methods, it uses a linear bio feedback system to regulate the user to comfort state with context-aware and personalized entertainment recommendation.

References

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World Health Organization 2005. Travel by air: health considerations. Retrieved March 1, 2008 from World Health Organization's Web site: http://whqlibdoc.who.int/publications/2005/9241580364_cha p2.pdf.
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Liu, H. 2006. State of Art of In-flight Entertainment Systems and Office Work Infra structure. Deliverable 4.1 of European project Smart tEchnologies for stress free Air Travel, Technical university of Eindhoven, 2006.
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Ashby, W. R. 1956. Introduction to Cybernetics, Chapman & Hall, London, 1956.
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Salem, B., Rauterberg, M. 2004. Multiple User Profile Merging (MUPE): Key Challenges for Environment Awareness. Lecture Notes in Computer Science, vol. 4161, pp. 103--116.
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Liu, H., Salem, B., Rauterberg, M. 2008. Adaptive User Preference Modeling and Its Application to In-flight Entertainment. In: Proceedings of 3rd International Conference on Digital Interactive Media in Entertainment and Arts, ACM ISBN: 978-1-60558-248-1, pp. 289--294.
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Wikipedia 2008. Markov decision process, retrieved June 1, 2008 from Wikipedia's Web site: http://en.wikipedia.org/wiki/Markov_decision_process.
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Steelman, VM. 1991. Relaxing to the beat: music therapy in perioperative nursing, Today's OR Nurse, Vol. 13, pp. 18--22.
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Stratton, VN., Zalanowski, AH. 1984. The Relationship between Music, Degree of Liking, and Self-Reported Relaxation, Journal of Music Therapy 21(4): 184--92.

Cited By

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  • (2018)Improve Onboarding Customer Experience and Reduce Airline Ground Staff Efforts Using WearableHCI International 2018 – Posters' Extended Abstracts10.1007/978-3-319-92285-0_35(255-260)Online publication date: 7-Jun-2018
  • (2015)Follow your heart: Heart rate controlled music recommendation for low stress air travel*Interaction StudiesInteraction Studies Social Behaviour and Communication in Biological and Artificial Systems10.1075/is.16.2.12liu16:2(303-339)Online publication date: 20-Nov-2015
  • (2010)Towards high level of presence: Combining static infrastructure with dynamic services2010 International Conference on Electronics and Information Engineering10.1109/ICEIE.2010.5559751(V2-535-V2-539)Online publication date: Aug-2010
  • Show More Cited By

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Published In

cover image ACM Conferences
ACE '08: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
December 2008
427 pages
ISBN:9781605583938
DOI:10.1145/1501750
  • General Chairs:
  • Masa Inakage,
  • Adrian David Cheok
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

Publication History

Published: 03 December 2008

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Author Tags

  1. adaptive framework
  2. context-awareness
  3. in-flight entertainment

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Overall Acceptance Rate 36 of 90 submissions, 40%

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Cited By

View all
  • (2018)Improve Onboarding Customer Experience and Reduce Airline Ground Staff Efforts Using WearableHCI International 2018 – Posters' Extended Abstracts10.1007/978-3-319-92285-0_35(255-260)Online publication date: 7-Jun-2018
  • (2015)Follow your heart: Heart rate controlled music recommendation for low stress air travel*Interaction StudiesInteraction Studies Social Behaviour and Communication in Biological and Artificial Systems10.1075/is.16.2.12liu16:2(303-339)Online publication date: 20-Nov-2015
  • (2010)Towards high level of presence: Combining static infrastructure with dynamic services2010 International Conference on Electronics and Information Engineering10.1109/ICEIE.2010.5559751(V2-535-V2-539)Online publication date: Aug-2010
  • (2010)LsM: A new location and emotion aware web-based interactive music system2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE)10.1109/ICCE.2010.5418750(253-254)Online publication date: Jan-2010
  • (2010)Embedding gesture recognition into airplane seats for in-flight entertainmentJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-010-0032-02:2(103-112)Online publication date: 10-Nov-2010
  • (2009)Music Playlist Recommendation Based on User Heartbeat and Music PreferenceProceedings of the 2009 International Conference on Computer Technology and Development - Volume 0110.1109/ICCTD.2009.246(545-549)Online publication date: 13-Nov-2009
  • (2009)Software architecture support for biofeedback based in-flight music systems2009 2nd IEEE International Conference on Computer Science and Information Technology10.1109/ICCSIT.2009.5234489(580-584)Online publication date: Aug-2009

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