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: "from error detection to behaviour observation first results from screen capture analysis"
  Abstract: This paper deals with errors in using spreadsheets and analysis of automatic recording of user interaction with spreadsheets. After a review of literature devoted to spreadsheet errors, we advocate the importance of going from error detection to interaction behaviour analysis. We explain how we analyze screen captures and give the main results we have obtained using this specific methodology with secondary school students (N=24). Transcription provides general characteristics: time, sequence of performed tasks, unsuccessful attempts and user preferences. Analysis reveals preferred modes of actions (toolbar buttons or menu commands), ways of writing formulas, and typical approaches in searching for solutions. Time, rhythm and density appear to be promising indicators. We think such an approach (to analyze screen captures) could be used with more advanced spreadsheet users.

Connected through hyperedge HE-1 (induced by source paper "teaching spreadsheets curriculum design principles"):
  with members:
    - "an exploratory analysis of the impact of named ranges on the debugging performance of novice users"
    - "milestones for teaching the spreadsheet program"
    - "does an awareness of differing types of spreadsheet errors aid end users in identifying spreadsheets errors"
    - "new guidelines for spreadsheets"

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)