Beyond Programming: Can Robots' Norm-Violating Actions Elicit Mental State Attributions?
Autor: | Malcolm McCurry, Anthony M. Harrison, Joanna Korman, Greg Trafton |
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Rok vydání: | 2019 |
Předmět: |
05 social sciences
Mobile robot Cognition Stimulus (physiology) 050105 experimental psychology Human–robot interaction 03 medical and health sciences 0302 clinical medicine Theory of mind Robot 0501 psychology and cognitive sciences Norm (social) Attribution Psychology 030217 neurology & neurosurgery Cognitive psychology |
Zdroj: | HRI |
DOI: | 10.1109/hri.2019.8673293 |
Popis: | Social perceivers often view a human agent's norm-violating behavior as diagnostic of that person's mental states, while behaviors that conform to norms are viewed as less informative. We developed a series of stimulus videos depicting a DRC-HUBO robot engaging in norm-violating and norm-conforming behaviors. We explored the hypothesis that robots' norm-violating actions may invite social perceivers to increase their mental state attributions in a similar manner as they do in humans. Surprisingly, we found that norm-conforming behaviors appear to be at least as conducive as norm-violating behaviors, and perhaps even moreso, to mental state attribution to robotic agents. |
Databáze: | OpenAIRE |
Externí odkaz: |
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