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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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How puzzling is the social artifact puzzle?
1Department of Computer and Information Science, Linköping University, 58183 Linköping, Sweden tom.ziemke@liu.se; https://liu.se/en/employee/tomzi64 sam.thellman@liu.se; https://liu.se/en/employee/samth78.
The Behavioral and Brain Sciences
|April 5, 2023
Summary
This commentary questions the "social artifact puzzle" and proposes a simpler attribution-based model for understanding social robots, challenging existing complex depictions.
Area of Science:
- Philosophy of Technology
- Human-Robot Interaction
- Cognitive Science
Background:
- The "social artifact puzzle" describes the challenge of understanding how artifacts acquire social meaning.
- Clark and Fischer proposed a complex model for social robots involving three physical scenes.
- Existing models may overcomplicate the attribution of social properties to robots.
Purpose of the Study:
- To critically evaluate Clark and Fischer's characterization of the "social artifact puzzle."
- To propose a more parsimonious account for understanding social robots.
- To challenge the complexity of existing models for robot social depiction.
Main Methods:
- Conceptual analysis and critique of existing theories.
- Comparative analysis of theoretical models.
- Development of an alternative attribution-based framework.
Main Results:
- The "social artifact puzzle" is considered less enigmatic than presented by Clark and Fischer.
- The proposed three-physical-scene model for social robots is deemed unnecessarily complex.
- An attribution-based approach offers a more straightforward explanation for social robot perception.
Conclusions:
- A simpler, attribution-based model provides a more parsimonious explanation for social robots.
- Re-evaluation of the "social artifact puzzle" is warranted.
- Future research should focus on simpler cognitive mechanisms underlying human-robot interaction.
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