Perceptual interactions in a minimalist virtual environment

Auvray, Malika; Lenay, Charles; Stewart, John

doi:10.1016/j.newideapsych.2007.12.002

Cited by 156 publications

(219 citation statements)

References 19 publications

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“…3 for an example). This prediction was supported by the empirical data presented by Auvray and colleagues [1], but previously went unnoticed. Froese and Di Paolo [5] replicated these modeling results and introduced some variations, which resulted in further hypotheses about the stability of the interaction process in organizing the behavior of the interactors.…”

Section: Previous Worksupporting

confidence: 64%

“…Each solution was evaluated for 100 trials lasting for 800 units of time, each with a time step of 0.1; the overall score was weighted toward the worse trials. Each solution coded for a clonal pair of CTRNNs (range of biases and weights [-8, 8], time constants [1,200]). For more details of the GA, see [5].…”

Section: Previous Workmentioning

confidence: 99%

“…[3,4]). One promising target for this endeavor is Auvray, et al"s [1] minimalist perceptual crossing experiment. This psychological study attempts to explore the most basic conditions necessary for participants to recognize each other through minimal technologically mediated interaction in a shared virtual space.…”

Section: Introductionmentioning

confidence: 99%

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Toward Minimally Social Behavior: Social Psychology Meets Evolutionary Robotics

Froese

Paolo

2011

Advances in Artificial Life. Darwin Meets Von Neumann

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Abstract. We report on a set of minimalist modeling experiments that extends previous work on the dynamics of social interaction. We used an evolutionary robotics approach to fine-tune the design of a recent psychological experiment, as well as to synthesize a solution that gives clues about how humans might perform under these novel conditions. In this manner we were able to generate a number of hypotheses that are open to verification by future experiments in social psychology. In particular, the results indicate some of the advantages and disadvantages of relying on social factors for solving behavioral tasks.

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Section: Previous Worksupporting

confidence: 64%

Section: Previous Workmentioning

confidence: 99%

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Toward Minimally Social Behavior: Social Psychology Meets Evolutionary Robotics

Froese

Paolo

2011

Advances in Artificial Life. Darwin Meets Von Neumann

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“…Moreover, a wide variety of processes such as the recruitment and annihilation of biomechanical degrees of freedom (51), parametric stabilization (38), sensory anchoring (37), and so forth, can be incorporated into the HDC. It seems possible that the same approach can be extended to other situations such as gaze interaction (52), imitation games (53,54), and game theory (55), to name a few.…”

Section: Discussionmentioning

confidence: 99%

The human dynamic clamp as a paradigm for social interaction

Dumas

Guzman

Tognoli

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

144

168

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Social neuroscience has called for new experimental paradigms aimed toward real-time interactions. A distinctive feature of interactions is mutual information exchange: One member of a pair changes in response to the other while simultaneously producing actions that alter the other. Combining mathematical and neurophysiological methods, we introduce a paradigm called the human dynamic clamp (HDC), to directly manipulate the interaction or coupling between a human and a surrogate constructed to behave like a human. Inspired by the dynamic clamp used so productively in cellular neuroscience, the HDC allows a person to interact in real time with a virtual partner itself driven by well-established models of coordination dynamics. People coordinate hand movements with the visually observed movements of a virtual hand, the parameters of which depend on input from the subject's own movements. We demonstrate that HDC can be extended to cover a broad repertoire of human behavior, including rhythmic and discrete movements, adaptation to changes of pacing, and behavioral skill learning as specified by a virtual "teacher." We propose HDC as a general paradigm, best implemented when empirically verified theoretical or mathematical models have been developed in a particular scientific field. The HDC paradigm is powerful because it provides an opportunity to explore parameter ranges and perturbations that are not easily accessible in ordinary human interactions. The HDC not only enables to test the veracity of theoretical models, it also illuminates features that are not always apparent in real-time human social interactions and the brain correlates thereof.human-machine interface | artificial agent | computational social neuroscience | multiscale | dynamical systems R eciprocally coupled complex systems in biology and psychology are notoriously difficult to study. Over the course of the last three decades, understanding how real neurons work individually and together has grown significantly in large part due to the so-called dynamic clamp paradigm (see ref. 1 for a review). The initial idea was to combine a standard electrophysiological setup with a computer interface, and then control in real time the current injected into a neuron as a function of its membrane potential measured via an intracellular electrode (2). The original dynamic clamp used tried and tested electrophysiological models such as the Hodgkin-Huxley equations (3) to explore parametrically how neurons behave. The latter, considered one of the most significant accomplishments in biophysics in the 20th century, provides a quantitative description of the electric potential across a cell membrane. The interaction between the real neuron and its artificial counterpart allows simulating artificial membrane or synaptic conductance (4, 5), chemical or electronic inputs (6, 7), and even connections with other neurons (8). Because the dynamic clamp falls midway between computational modeling and experimental electrophysiology, it affords the same degree of precision a...

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“…by interactions) "replaces individual mechanisms" such as mindreading (De Jaegher et al, 2010, p. 441) and thus cannot be accommodated by individualist accounts. 18 In order to substantiate this position, De Jaegher and co-authors refer to an experiment by Auvray et al (2009) that they believe documents a case where social interaction "constitutes" social cognition. Something constitutes -or is a "constitutive element" of -a case of social cognition if it is "part of the processes that produce" the social cognition, De Jaegher et al (2010, p. 443) explain.…”

Section: Individualismmentioning

confidence: 99%