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Adopting the Intentional Stance Towards Humanoid Robots

  • Jairo Perez-Osorio
  • Agnieszka WykowskaEmail author
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Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 130)

Abstract

On the day by day humans need to predict and understand others’ behavior in order to efficiently navigate through our social environment. When making predictions about what others are going to do next, we refer to their mental states, such as beliefs or intentions. At the dawn of a new era, in which robots will be among us at homes and offices, one needs to ask whether (or when) we predict and also explain robots’ behavior with reference to mental states. In other words, do we adopt the intentional stance (Dennett in The Intentional Stance. MIT Press, Cambridge (1987) [1]) also towards artificial agents—especially those with humanoid shape and human-like behavior? What plays a role in adopting the intentional stance towards robots? Does adopting an intentional stance affect our social attunement with artificial agents? In this chapter, we first discuss the general approach that we take towards examining these questions—using objective methods of cognitive neuroscience to test social attunement as a function of adopting the intentional stance. Also, we describe our newly developed method to examine whether participants adopt the intentional stance towards an artificial agent. The chapter concludes with an outlook to the questions that still need to be addressed, like ethical consequences and societal impact of robots with which we attune socially, and towards which we adopt the intentional stance.

Keywords

Intentional stance Social robotics Human-robot interaction Mental states 
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Notes

Acknowledgements

Work on this chapter, and research agenda described in the section “Future directions” of this chapter have been supported by the European Research Council under the European Union’s Horizon 2020 research and innovation program (grant awarded to AW, titled “InStance: Intentional Stance for Social Attunement”. ERC starting grant, grant agreement No.: 715058).

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Authors and Affiliations

  1. 1.Istituto Italiano di Tecnologia, IITGenoaItaly

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