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AIRSF: a new entertainment adaptive framework for stress free air travels by Hao Liu; Jun Hu; Matthias Rauterberg is a scholarly article available to read on EtoBox.

What is AIRSF: a new entertainment adaptive framework for stress free air travels about?

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 contextaware 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.

Author

Hao Liu; Jun Hu; Matthias Rauterberg

Publisher

ACM

Published

2008

Language

EN