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: "evaluation of pervasive games recruitment of qualified participants through preparatory game phases"
  Abstract: In this paper we present the evaluation process for Barbarossa, a pervasive role playing game. Barbarossa involves an invitational (preparatory) and a main execution phase. The former is freely available though Google Play store and may be played anytime/ anywhere. The latter defines three inter-dependent player roles acted by players who need to collaborate in a treasure hunting game. The eligibility of players for participating in the main game phase is restricted among those ranked relatively high in the invitational phase. Herein, we investigate the impact of the invitational game mode on the players overall game experience. The main hypothesis tested is that game awareness (gained from participating in a preliminary game phase) may serve as a means for recruiting the most suitable subjects for user trials on pervasive game research prototypes.

Connected through hyperedge HE-1 (induced by source paper "touch less interactive augmented reality game on vision based wearable device"):
  with members:
    - "webvrgis based city bigdata 3d visualization and analysis"
    - "big city 3d visual analysis"
    - "preprint a game based assistive tool for rehabilitation of dysphonic patients"
    - "serious game based dysphonic rehabilitation tool"
    - "a game based assistive tool for rehabilitation of dysphonic patients"

Connected through hyperedge HE-2 (induced by source paper "preprint touch less interactive augmented reality game on vision based wearable device"):
  with members:
    - "webvrgis based city bigdata 3d visualization and analysis"
    - "big city 3d visual analysis"
    - "serious game based dysphonic rehabilitation tool"
    - "a game based assistive tool for rehabilitation of dysphonic patients"

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)