When do we simulate non-human agents? Dissociating communicative and non-communicative actions
Introduction
An extensive body of brain imaging research suggests that passive observation of human action leads to activation of brain areas that are also involved in motor preparation and execution (Buccino et al., 2001, Fogassi et al., 2005, Gallese et al., 1996, Gazzola et al., 2006, Grezes et al., 2003, Iacoboni et al., 1999). Furthermore, behavioral research strongly suggests that the observation of an action activates a corresponding motor representation in the observer. This phenomenon has been termed motor simulation (for an overview see Brass and Heyes, 2005 and Blakemore and Frith, 2005). Motor simulation is typically measured with a motor priming paradigm, in which participants have to carry out an instructed response while observing task-irrelevant congruent or incongruent actions (e.g., Brass, Bekkering, Wohlschläger, & Prinz, 2000). It has been demonstrated that the observation of a finger movement that corresponds to the instructed finger movement leads to facilitation of the response and observing a non-corresponding finger movement leads to interference (Bertenthal et al., 2006, Brass et al., 2000, Stürmer et al., 2000).
Section snippets
Motor simulation of biological and non-biological agents
One issue that is still controversial is whether motor simulation is restricted to observing human agents or also occurs for non-human agents (Gazzola et al., 2007, Kilner et al., 2003, Press et al., 2005). A range of studies provide evidence that only actions produced by human agents lead to motor priming effects and not when these actions are produced by non-human agents (Kilner et al., 2003, Tai et al., 2004; see also Tsai & Brass, 2007). Other studies support the idea of attenuated motor
The present study
The aim of the present study was to test whether motor simulation is not only agent sensitive (human or non-human), but also sensitive to the specific action type performed by the agent. The experimental design was slightly different from the paradigms used in previous motor priming studies (e.g., Brass et al., 2000) and resembles to some extent a study on object affordances by Tucker and Ellis (1998). We developed movement stimuli for three different types of actions: a communicative action
Participants
A group of 27 undergraduate students (14 males, age range: 21–28, mean age: 23.8, SD: 2.0) participated in this experiment. All participants were right-handed, had normal or corrected-to-normal vision, and were naive with regard to the hypotheses of the experiment. Participants were paid €7 for participation.
Apparatus and stimuli
Stimuli were presented on a 17-in. color monitor that was connected to a Pentium I PC. Experiments were carried out using ERTS software (Experimental Runtime System; Beringer, 2000). The
Experiment 2
We designed a second experiment in which we aimed to (a) replicate our findings of Experiment 1 and (b) test if the smaller motor priming effect for non-human actions is actually due to the communicative nature of the gesture or to its complementarity or aversive nature. Therefore, we created completely new stimulus material for the communicative gesture condition, which did not involve a complementary response or direct hand-to-hand contact. In Experiment 2, we presented either a human or a
General discussion
Evidence from behavioral and neuroimaging research suggests that we simulate human agents and non-human agents differently in our motor system (Kilner et al., 2003, Liepelt and Brass, 2010, Perani et al., 2001, Press et al., 2006, Press et al., 2005, Tai et al., 2004, Tsai and Brass, 2007). The present study investigated whether motor simulation of non-human agents is modulated by the type of action observed. In accordance with previous literature, our results show that human movement stimuli
Conclusion
In conclusion, the present study shows that it is the reasonableness of the apparent goal the observer attributes to the observed behavior that influences the observer’s mental simulation process, such that those processes are evoked only when the observed behavior appears to be driven by a reasonable goal. On a more abstract level, our findings are in line with the assumption of top-down influences on motor simulation (Liepelt et al., 2008, Longo and Bertenthal, 2009, Stanley et al., 2007).
Acknowledgements
This research was supported by a European funded project aimed at understanding the evolutionary, developmental and intentional control of imitation (EDICI-12929). The authors wish to thank Margret Schött for help in data acquisition and Michael Masson for helpful comments on a previous version of the manuscript.
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