human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Spotting agreement and disagreement: A survey of nonverbal audiovisual cues and tools"
  Abstract: While detecting and interpreting temporal patterns of non-verbal behavioral cues in a given context is a natural and often unconscious process for humans, it remains a rather difficult task for computer systems. Nevertheless, it is an important one to achieve if the goal is to realise a naturalistic communication between humans and machines. Machines that are able to sense social attitudes like agreement and disagreement and respond to them in a meaningful way are likely to be welcomed by users due to the more natural, efficient and human-centered interaction they are bound to experience. This paper surveys the nonverbal cues that could be present during agreement and disagreement behavioural displays and lists a number of tools that could be useful in detecting them, as well as a few publicly available databases that could be used to train these tools for analysis of spontaneous, audiovisual instances of agreement and disagreement.

Connected through hyperedge HE-1 (induced by source paper "Modelling and recognition of the linguistic components in American Sign Language"):
  with members:
    - "Pruning Noisy Bases in Discriminant Analysis"

Connected through hyperedge HE-2 (induced by source paper "Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data"):
  with members:
    - "On instance selection in audio based emotion recognition"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science