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

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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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human factors

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human information processing

General Terms:
Design, Human Factors

Keywords:
adaptive framework, context-awareness, in-flight entertainment