How Much Should a Robot Trust the User Feedback? Analyzing the Impact of Verbal Answers in Active Learning

Víctor González-Pacheco, Maria Malfaz, José Carlos Castillo, Álvaro Castro-González, Fernando Alonso-Martín, Miguel A. Salichs. How Much Should a Robot Trust the User Feedback? Analyzing the Impact of Verbal Answers in Active Learning. In Arvin Agah, John-John Cabibihan, Ayanna M. Howard, Miguel A. Salichs, Hongsheng He, editors, Social Robotics - 8th International Conference, ICSR 2016, Kansas City, MO, USA, November 1-3, 2016, Proceedings. Volume 9979 of Lecture Notes in Computer Science, pages 190-199, 2016. [doi]

@inproceedings{Gonzalez-Pacheco16,
  title = {How Much Should a Robot Trust the User Feedback? Analyzing the Impact of Verbal Answers in Active Learning},
  author = {Víctor González-Pacheco and Maria Malfaz and José Carlos Castillo and Álvaro Castro-González and Fernando Alonso-Martín and Miguel A. Salichs},
  year = {2016},
  doi = {10.1007/978-3-319-47437-3_19},
  url = {http://dx.doi.org/10.1007/978-3-319-47437-3_19},
  researchr = {https://researchr.org/publication/Gonzalez-Pacheco16},
  cites = {0},
  citedby = {0},
  pages = {190-199},
  booktitle = {Social Robotics - 8th International Conference, ICSR 2016, Kansas City, MO, USA, November 1-3, 2016, Proceedings},
  editor = {Arvin Agah and John-John Cabibihan and Ayanna M. Howard and Miguel A. Salichs and Hongsheng He},
  volume = {9979},
  series = {Lecture Notes in Computer Science},
  isbn = {978-3-319-47436-6},
}