How people talk when teaching a robot

Elizabeth S. Kim, Dan Leyzberg, Katherine M. Tsui, Brian Scassellati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Scopus citations

Abstract

We examine affective vocalizations provided by human teachers to robotic learners. In unscripted one-on-one interactions, participants provided vocal input to a robotic dinosaur as the robot selected toy buildings to knock down. We find that (1) people vary their vocal input depending on the learner's performance history, (2) people do not wait until a robotic learner completes an action before they provide input and (3) people näively and spontaneously use intensely affective vocalizations. Our findings suggest modifications may be needed to traditional machine learning models to better fit observed human tendencies. Our observations of human behavior contradict the popular assumptions made by machine learning algorithms (in particular, reinforcement learning) that the reward function is stationary and pathindependent for social learning interactions. We also propose an interaction taxonomy that describes three phases of a human-teacher's vocalizations: direction, spoken before an action is taken; guidance, spoken as the learner communicates an intended action; and feedback, spoken in response to a completed action.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09
Pages23-30
Number of pages8
DOIs
StatePublished - 2008
Event4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09 - San Diego, CA, United States
Duration: Mar 11 2009Mar 13 2009

Publication series

NameProceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09

Conference

Conference4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09
CountryUnited States
CitySan Diego, CA
Period3/11/093/13/09

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Electrical and Electronic Engineering

Keywords

  • Experimentation
  • Human factors

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