Robot, asker of questions (original) (raw)

Abstract

Collaborative control is a teleoperation system model based on human-robot dialogue. With this model, the robot asks questions to the human in order to obtain assistance with cognition and perception. This enables the human to function as a resource for the robot and help to compensate for limitations of autonomy. To understand how collaborative control influences human-robot interaction, we performed a user study based on contextual inquiry (CI). The study revealed that: (1) dialogue helps users understand problems encountered by the robot and (2) human assistance is a limited resource that must be carefully managed.

Loading...

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.

References (19)

  1. Guide to Human Performance Measurements, ANSI/AIAA G-035-1992.
  2. H. Beyer, K. Holtzblatt, Apprenticing with the customer, Communication of the ACM 38 (5) (1995).
  3. C. Breazeal, Toward sociable robots, Robotics and Autonomous Systems 42 (3-4) (2003) 167-175 (this issue).
  4. G. Churcher, et al., Dialogue management systems: a survey and overview, Report 97.6, School of Computer Studies, University of Leeds, 1997.
  5. G. Cooper, R. Harper, The use of pilot ratings in the evaluation of aircraft handling qualities, NASA TN-D-5153, 1969.
  6. G. Dorais, et al., Adjustable autonomy for human-centered autonomous systems, in: Proceedings of the International Joint Conference of Artificial Intelligence Workshop on Adjoint Autonomus System, 1999.
  7. T. Fong, Collaborative control: a robot-centric model for vehicle teleoperation, Ph.D. Thesis, Technical Report CMU-RI-TR-01-34, Carnegie Mellon University, 2001.
  8. T. Fong, I. Nourbakhsh and K. Dautenhahn, A survey of socially interactive robots, Robotics and Autonomous Systems 42 (3-4) (2003) 143-166 (this issue).
  9. T. Fong, C. Thorpe, Vehicle teleoperation interfaces, Autonomous Robots 11 (1) (2001).
  10. A. Green, K. Severinson-Eklundh, Task-oriented dialogue for CERO: a user-centered approach, in: Proceedings of the IEEE International Workshop on Robot-Human Interactive Collaboration, 2001.
  11. K. Holtzblatt, S. Jones, Contextual inquiry: a participatory technique for system design, in: D. Schuler, A. Namioka (Eds.), Participatory Design: Principles and Practice, Lawrence Erlbaum Association, 1993.
  12. S. Kiesler, J. Goetz, Mental models and cooperation with robotic assistants, in: Proceedings of the CHI, 2002.
  13. D. McFarlane, Coordinating the interruption of people in human-computer interaction, in: Proceedings of the HCI Interact, 1999.
  14. K. Myers, D. Morley, Human directability of agents, in: Proceedings of the K-CAP, 2001.
  15. R. Murphy, E. Rogers, Cooperative assistance for remote robot supervision, Presence: Teleoperators and Virtual Environments 5 (2) (1996).
  16. J. Nielsen, T. Landauer, A mathematical model of the finding of usability problems, in: Proceedings of the ACM INTERCHI Conference, 1993.
  17. B. Reeves, C. Nass, The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places. Cambridge University Press, Cambridge, 1996.
  18. J. Scholtz, Theory and evaluation of human-robot interaction, in: Proceedings of the HICSS 36, 2003.
  19. K. Simsarian, Toward human-robot collaboration, Ph.D. Thesis, Swedish Institute of Computer Science, 2000.