MUCOR: A Multiparty Conversation Based Robotic Interface to Evaluate Job Applicants

H. A. S. D. Senaratna, Udaka A. Manawadu, W. K. N. Hansika, S. W. A. D. M. Samarasinghe, P. Ravindra S. De Silva. MUCOR: A Multiparty Conversation Based Robotic Interface to Evaluate Job Applicants. In Constantine Stephanidis, Masaaki Kurosu, Helmut Degen, Lauren Reinerman-Jones, editors, HCI International 2020 - Late Breaking Papers: Multimodality and Intelligence - 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19-24, 2020, Proceedings. Volume 12424 of Lecture Notes in Computer Science, pages 280-293, Springer, 2020. [doi]

@inproceedings{SenaratnaMHSS20,
  title = {MUCOR: A Multiparty Conversation Based Robotic Interface to Evaluate Job Applicants},
  author = {H. A. S. D. Senaratna and Udaka A. Manawadu and W. K. N. Hansika and S. W. A. D. M. Samarasinghe and P. Ravindra S. De Silva},
  year = {2020},
  doi = {10.1007/978-3-030-60117-1_21},
  url = {https://doi.org/10.1007/978-3-030-60117-1_21},
  researchr = {https://researchr.org/publication/SenaratnaMHSS20},
  cites = {0},
  citedby = {0},
  pages = {280-293},
  booktitle = {HCI International 2020 - Late Breaking Papers: Multimodality and Intelligence - 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19-24, 2020, Proceedings},
  editor = {Constantine Stephanidis and Masaaki Kurosu and Helmut Degen and Lauren Reinerman-Jones},
  volume = {12424},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-60117-1},
}