ACM Home Page
Please provide us with feedback. Feedback
The oz of wizard: simulating the human for interaction research
Full text PdfPdf (974 KB)
Source
ACM/IEEE International Conference on Human-Robot Interaction archive
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction table of contents
La Jolla, California, USA
SESSION: New methods for studying HRI table of contents
Pages 101-108  
Year of Publication: 2009
ISBN:978-1-60558-404-1
Authors
Aaron Steinfeld  Carnegie Mellon University, Pittsburgh, PA, USA
Odest Chadwicke Jenkins  Brown University, Providence, RI, USA
Brian Scassellati  Yale University, New Haven, CT, USA
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 28,   Downloads (12 Months): 118,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1514095.1514115
What is a DOI?

ABSTRACT

The Wizard of Oz experiment method has a long tradition of acceptance and use within the field of human-robot interaction. The community has traditionally downplayed the importance of interaction evaluations run with the inverse model: the human simulated to evaluate robot behavior, or Oz of Wizard. We argue that such studies play an important role in the field of human-robot interaction. We differentiate between methodologically rigorous human modeling and placeholder simulations using simplified human models. Guidelines are proposed for when Oz of Wizard results should be considered acceptable. This paper also describes a framework for describing the various permutations of Wizard and Oz states.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
2
3
4
5
 
6
Granda, T., Kirkpatrick, M., Julien, T., and Peterson, L. 1990. The evolutionary role of humans in the human-robot system. In Proc. Human Factors Society 34th Annual Meeting. 664--668.
7
 
8
 
9
Jenkins, O., González, G., and Loper, M. 2007. Interactive human pose and action recognition using dynamical motion primitives. International Journal of Humanoid Robotics, 4(2):365--385.
 
10
Grollman, D. H., and Jenkins, O. C. 2008. Sparse incremental learning for interactive robot control policy estimation. In International Conference on Robotics and Automation (ICRA, Pasadena, CA, USA, May 2008).
11
12
13
 
14
Vondrak, M., Sigal, L., and Jenkins, O. 2008. Physical simulation for probabilistic motion tracking. In Computer Vision and Pattern Recognition (CVPR, Anchorage, AK, USA, Jun 2008).
 
15
Srinivasa, S., Ferguson, D., Vande Weghe, M., Diankov, R., Berenson, D., Helfrich, C. and Strasdat, H. 2008. The Robotic Busboy: steps towards developing a mobile robotic home assistant. In International Conference on Intelligent Autonomous Systems.
16
17
18
19
20
 
21
Scholtz, J., Young, J., Drury, J., and Yanco, H. 2004. Evaluation of human-robot interaction awareness in search and rescue. In Proc. IEEE International Conference on Robotics and Automation.
 
22
Casper, J., and Murphy, R. 2003. Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center. IEEE Transactions on Systems, Man and Cybernetics B, 33.
23
 
24
Krishnan, H., Gibb, S., Steinfeld, A., and Shladover, S. E. 2001. Rear-end collision-warning system: Design and evaluation via simulation, Transportation Research Record - Journal of the Transportation Research Board 1759, 52--60.
 
25
Bainbridge, W., Hart, J., Kim, E. and Scassellati, B. 2008. The effect of presence on human-robot interaction. In IEEE International Symposium on Robot and Human Interactive Communication (Munich, Germany).
 
26
Tapus, A., Mataric, M. and Scassellati, B. 2007. The grand challenges in socially assistive robotics. IEEE Robotics and Automation Magazine. Vol. 4, No. 1. p. 35--427.
27
 
28
Koenig, N., Chernova, S., Jones, C., Loper, M., and Jenkins, O. 2008. Hands-free interaction for human-robot teams. In ICRA 2008 Workshop on Social Interaction with Intelligent Indoor Robots (Pasadena, CA, USA, May 2008).
29
30
 
31
Gold K. and Scassellati, B. 2006. Grounded pronoun learning and pronoun reversal. In 5th International Conference on Development and Learning (ICDL-06, Bloomington, IN).
 
32
Gold, K., Doniec, M., and Scassellati, B. 2007. Learning grounded semantics with word trees: prepositions and pronouns. In Proceedings of the 6th IEEE International Conference on Development and Learning (ICDL, London, England, July 2007).
 
33
Gold, K. and Scassellati, B. 2007. A robot that uses existing vocabulary to infer non-visual word meanings from observation. In Proceedings of the Twenty-Second Annual Meeting of the Association for the Advancement of Artificial Intelligence (AAAI. Vancouver, BC, Canada, August, 2007).
 
34
MacWhinney, B. (2000). The CHILDES Project: Tools for Analyzing Talk, 3rd ed. Mahwah, NJ: Lawrence Erlbaum Associates.
 
35

Collaborative Colleagues:
Aaron Steinfeld: colleagues
Odest Chadwicke Jenkins: colleagues
Brian Scassellati: colleagues