human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "virtual immersive reality for stated preference travel behaviour experiments a case study of autonomous vehicles on urban roads"
  Abstract: Stated preference experiments have been criticized for lack of realism. This issue is particularly visible when the scenario does not have a well understood prior reference, as in the case of research into demand for autonomous vehicles. The paper presents Virtual Immersive Reality Environment (VIRE), which is capable of developing highly realistic, immersive, and interactive choice scenarios. We demonstrate the use of VIRE in researching pedestrian preferences related to autonomous vehicles and associated infrastructure changes on urban streets in Montreal, Canada. The results are compared with predominantly used approaches: text-only and visual aid. We show that VIRE results in respondents having better understanding of the scenario and it yields more consistent results.

Connected through hyperedge HE-1 (induced by source paper "multi objective autonomous braking system using naturalistic dataset"):
  with members:
    - "analysis of distracted pedestrians waiting time head mounted immersive virtual reality application"
    - "unity a general platform for intelligent agents"
    - "multinet multi modal multi task learning for autonomous driving"
    - "carla an open urban driving simulator"
    - "autonomous braking system via deep reinforcement learning"
    - "airsim high fidelity visual and physical simulation for autonomous vehicles"
    - "proximal policy optimization algorithms"
    - "continuous control with deep reinforcement learning"

Connected through hyperedge HE-2 (induced by source paper "a multi layered blockchain framework for smart mobility data markets"):
  with members:
    - "ekiden a platform for confidentiality preserving trustworthy and performant smart contracts"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "is geo indistinguishability what you are looking for"
    - "towards an ontology driven blockchain design for supply chain provenance"
    - "geo indistinguishability differential privacy for location based systems"
    - "majority is not enough bitcoin mining is vulnerable"

Connected through hyperedge HE-3 (induced by source paper "deepsurvival pedestrian wait time estimation in mixed traffic conditions using deep survival analysis"):
  with members:
    - "a deep active survival analysis approach for precision treatment recommendations application of prostate cancer"
    - "analysis of distracted pedestrians waiting time head mounted immersive virtual reality application"

Connected through hyperedge HE-4 (induced by source paper "analysis of distracted pedestrians waiting time head mounted immersive virtual reality application"):
  with members:
    - "impact of smartphone distraction on pedestrians crossing behaviour an application of head mounted immersive virtual reality"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.HC(Human-Computer Interaction)