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: "review of the use of electroencephalography as an evaluation method for human computer interaction"
  Abstract: Evaluating human-computer interaction is essential as a broadening population uses machines, sometimes in sensitive contexts. However, traditional evaluation methods may fail to combine real-time measures, an "objective" approach and data contextualization. In this review we look at how adding neuroimaging techniques can respond to such needs. We focus on electroencephalography (EEG), as it could be handled effectively during a dedicated evaluation phase. We identify workload, attention, vigilance, fatigue, error recognition, emotions, engagement, flow and immersion as being recognizable by EEG. We find that workload, attention and emotions assessments would benefit the most from EEG. Moreover, we advocate to study further error recognition through neuroimaging to enhance usability and increase user experience.

Connected through hyperedge HE-1 (induced by source paper "measuring cognitive conflict in virtual reality with feedback related negativity"):
  with members:
    - "framework for electroencephalography based evaluation of user experience"

Connected through hyperedge HE-2 (induced by source paper "framework for electroencephalography based evaluation of user experience"):
  with members:
    - "continuous mental effort evaluation during 3d object manipulation tasks based on brain and physiological signals"

Connected through hyperedge HE-3 (induced by source paper "introspectibles tangible interaction to foster introspection"):
  with members:
    - "tobe tangible out of body experience"

Connected through hyperedge HE-4 (induced by source paper "vif virtual interactive fiction with a twist"):
  with members:
    - "tobe tangible out of body experience"

Connected through hyperedge HE-5 (induced by source paper "tobe tangible out of body experience"):
  with members:
    - "teegi tangible eeg interface"

Connected through hyperedge HE-6 (induced by source paper "estimating visual comfort in stereoscopic displays using electroencephalography a proof of concept"):
  with members:
    - "assessing the zone of comfort in stereoscopic displays using eeg"

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)