in-flight entertainment – Jun HU

Hao Liu , Jun Hu, Matthias Rauterberg

Abstract In this paper, we present a software architecture support for biofeedback in-flight music systems to promote stress free air travels. Once the passenger sits in a seat of a flight, his/her bio signals are acquired via non intrusive sensors embedded in the seat and then are modeled into stress states. If the passenger is in a stress state, the system recommends a personalized stress reduction music playlist to the passenger to transfer him/her from the current stress state to the target comfort state; if the passenger is not in a stress state, the system recommends a personalized non stress induction music playlist keep him/her at comfort state. If the passenger does not accept the recommendation, he/she can browse the in-flight music system and select preferred music himself/herself.

Keywords in-flight music; biofeedback; healthy air travels; stress reduction.

H. Liu, J. Hu, and M. Rauterberg, “Software Architecture Support for Biofeedback Based In-flight Music Systems,” in 2nd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2009), Beijing, China, 2009, pp. 580-584.
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DOI: 10.1109/ICCSIT.2009.5234489

Hao Liu, Jun Hu, Matthias Rauterberg

ABSTRACT
Travel by air, especially long distance, the combination of long flight duration, limited space and an unusual cabin environment causes physical and psychological discomfort and even stress for a large group of passengers. In-flight entertainment systems are commonly installed on the long haul flights to increase the passenger’s comfort level. However, the current installed and commercially available in-flight entertainment systems do not explore how the entertainment services can be adapted to reduce the passenger’s stress level systematically and intelligently. Also, these systems are designed and implemented based on a pre-set concept of what customer likes and requires as a homogeneous passenger group that has similar tastes and desires. In this paper, we present a new entertainment adaptive framework AIRSF for stress free air travel. Compared to the current in-flight entertainment framework, it can regulate the passenger’s physical and psychological states at comfort physical and psychological states with context-aware and personalized stress reduction entertainment service provision intelligently; What is more, based on the passenger’s bio and explicit feedback, it can automatically track, learn and adapt to the passenger’s preferences.
Categories and Subject Descriptors
H.1.2 [Models and Principles]: User/Machine Systems – Human factors, Human information processing.
General Terms
Design, human Factors, languages.
Keywords
Adaptive framework, context-awareness, in-flight entertainment.

H. Liu, J. Hu, and M. Rauterberg, “AIRSF: A New Entertainment Adaptive Framework for Stress Free Air Travels,” in International Conference on Advances in Computer Entertainment Technology (ACE 2008), Yokohama, Japan, 2008, pp. 183-186.
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DOI: 10.1145/1501750.1501793