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: "peg in hole revisited a generic force model for haptic assembly"
  Abstract: The development of a generic and effective force model for semi-automatic or manual virtual assembly with haptic support is not a trivial task, esp. when the assembly constraints involve complex features of arbitrary shape. The primary challenge lies in a proper formulation of the guidance forces that effectively assist the user in his/her exploration of the virtual environment, from repulsing collisions to attracting proper contact. The secondary difficulty is that of efficient implementation that maintains the standard 1 kHz haptic refresh rate. We propose a purely geometric model for an artificial energy field that favors spatial relations leading to proper assembly, differentiated to obtain forces and torques in a 6 DOF motion. The energy function is expressed in terms of a convolution of shape-dependent affinity fields, precomputed offline separately for each object. We test the effectiveness of the method using familiar peg-in-hole examples. We show that the proposed technique unifies collision detection and precision assembly modes into a single interaction, and provides a generic and automatic constraint model for the so-called virtual fixtures, with no restrictive assumptions on the types of the involved assembly features.Copyright © 2014 by ASME

Connected through hyperedge HE-1 (induced by source paper "haptic assembly and prototyping an expository review"):
  with members:
    - "shape complementarity analysis for objects of arbitrary shape"
    - "analytic methods for geometric modeling via spherical decomposition"
    - "haptic assembly using skeletal densities and fourier transforms"
    - "realistic haptic rendering of interacting deformable objects in virtual environments"

Connected through hyperedge HE-2 (induced by source paper "analytic methods for geometric modeling via spherical decomposition"):
  with members:
    - "haptic assembly using skeletal densities and fourier transforms"

Connected through hyperedge HE-3 (induced by source paper "haptic assembly using skeletal densities and fourier transforms"):
  with members:
    - "analytic methods for geometric modeling via spherical decomposition"

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)