The wHiSPER project comes from the idea of Alessandra Sciutti to study the development of perception during social interaction within the COgNitive Architecture for Collaborative Technologies (CONTACT) Unit of IIT.
The approach of the unit is human-centric, trying to study both Human-Human and Human-Robot Interaction also from an interdisciplinary point of view. In this respect, implementing robots is not the only aim of the unit: they are both used as tools for quantitative analysis of human interaction and to increase the readiness and effectiveness of human-robot collaboration. A better understaning of the bases of interaction and the realization of more intuitive and adaptive robots will facilitate the adoption of collaborative technologies, in particular by the weak components of our society who might benefit more of their use.
Towards a social idea of perception
The project moves from two different suggestions. On the one hand, our perception of the world depends both on the incoming sensory information, and on our prior knowledge. Even the judgment of the duration of an interval of time or of the length of a segment is influenced by our previous experience and by our expectations. On the other hand, our perspective on the world is not static and individualistic at all: it might change during social interaction, where two agents dynamically influence each other, often achieving a high level of coordination.
Starting there, wHiSPER proposes to study for the first time how basic mechanisms of spatial and temporal perceptual inference are modified during interaction.
WP1: determine how being involved in an interactive context influences perceptual inference;
WP2: assess how perceptual priors generalize to the observation of other’s actions;
WP3: understand whether and how individual perception aligns to others’ priors;
WP4: assess how is it possible to enable shared perception with a robot;
WP5: determine whether perceptual inference during interaction is modified with aging, when lowered sensory acuity could \ priors relevance.
WHiSPER will exploit rigorous psychophysical methods, Bayesian modeling and human-robot interaction, by adapting well-established paradigms in the study of visual perception to a novel interactive context.
According to this, in several experiments the humanoid robot and the participants will be shown simple temporal or spatial perceptual stimuli that they will have to perceive either to reproduce them or to perform a coordinated joint action (as passing an object). The measures of the reproduced intervals and of the kinematics of the actions will allow to quantify through Bayesian modeling how social interaction influences visual perception.
ERC Starting Grant
Principal Investigator: Alessandra Sciutti
Period: 3/2019- 2/2024. G.A: 804388
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