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Concepts about the capabilities of computers and robots: a test of the scope of adults' theory of mind
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ACM/IEEE International Conference on Human-Robot Interaction archive
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction table of contents
Amsterdam, The Netherlands
SESSION: Technical papers table of contents
Pages 57-64  
Year of Publication: 2008
ISBN:978-1-60558-017-3
Authors
Daniel T. Levin  Vanderbilt University, Nashville, TN, USA
Stephen S. Killingsworth  Vanderbilt University, Nashville, TN, USA
Megan M. Saylor  Vanderbilt University, Nashville, TN, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

We have previously demonstrated that people apply fundamentally different concepts to mechanical agents and human agents, assuming that mechanical agents engage in more location-based, and feature-based behaviors whereas humans engage in more goal-based, and category-based behavior. We also found that attributions about anthropomorphic agents such as robots are very similar to those about computers, unless subjects are asked to attend closely to specific intentional-appearing behaviors. In the present studies, we ask whether subjects initially do not attribute intentionality to robots because they believe that temporary limits in current technology preclude real intelligent behavior. In addition, we ask whether a basic categorization as an artifact affords lessened attributions of intentionality. We find that subjects assume that robots created with future technology may become more intentional, but will not be fully equivalent to humans, and that even a fully human-controlled robot will not be as intentional as a human. These results suggest that subjects strongly distinguish intelligent agents based on intentionality, and that the basic living/mechanical distinction is powerful enough, even in adults, to make it difficult for adults to assent to the possibility that mechanical things can be fully intentional.


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.

 
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Levin, D.T., Saylor, M.M., Killingsworth, S.K., Gordon, S., & Kawamura, K. in prep. Predictions about the behavior of computers, robots, and people: How does intentionality affect what people think something will do?
 
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Levin, D.T. in prep. Intention and Capacity: A dual heuristic framework for visual metaknowledge.
 
19
Killingsworth, S.S., Saylor, M.M., & Levin, D.T. in review. Intentional understanding through a machine's eyes.
 
20
Herberg, J.S., Saylor, M.M., Ratanaswasd, P, Levin, D.T., & Wilkes, D.M. in review. Audience-contingent variation in action demonstrations for humans and computers.


Collaborative Colleagues:
Daniel T. Levin: colleagues
Stephen S. Killingsworth: colleagues
Megan M. Saylor: colleagues