89768 20210902121710.0 doi 10.3389/fnhum.2020.00102 sideral 117876 ART-2020-117876 eng Barone, Pamela A minimal turing test: reciprocal sensorimotor contingencies for interaction detection 2020 Access copy available to the general public Unrestricted In the classical Turing test, participants are challenged to tell whether they are interacting with another human being or with a machine. The way the interaction takes place is not direct, but a distant conversation through computer screen messages. Basic forms of interaction are face-to-face and embodied, context-dependent and based on the detection of reciprocal sensorimotor contingencies. Our idea is that interaction detection requires the integration of proprioceptive and interoceptive patterns with sensorimotor patterns, within quite short time lapses, so that they appear as mutually contingent, as reciprocal. In other words, the experience of interaction takes place when sensorimotor patterns are contingent upon one’s own movements, and vice versa. I react to your movement, you react to mine. When I notice both components, I come to experience an interaction. Therefore, we designed a “minimal” Turing test to investigate how much information is required to detect these reciprocal sensorimotor contingencies. Using a new version of the perceptual crossing paradigm, we tested whether participants resorted to interaction detection to tell apart human from machine agents in repeated encounters with these agents. In two studies, we presented participants with movements of a human agent, either online or offline, and movements of a computerized oscillatory agent in three different blocks. In each block, either auditory or audiovisual feedback was provided along each trial. Analysis of participants’ explicit responses and of the implicit information subsumed in the dynamics of their series will reveal evidence that participants use the reciprocal sensorimotor contingencies within short time windows. For a machine to pass this minimal Turing test, it should be able to generate this sort of reciprocal contingencies. info:eu-repo/grantAgreement/ES/MINECO/FFI2017-86351-R info:eu-repo/grantAgreement/ES/MINECO/TIN2016-80347-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.169 2020 PSYCHOLOGY 27 / 77 = 0.351 2020 Q2 T2 NEUROSCIENCES 179 / 273 = 0.656 2020 Q3 T2 1.127 2020 Behavioral Neuroscience 2020 Q1 Biological Psychiatry 2020 Q1 Psychiatry and Mental Health 2020 Q1 Neuropsychology and Physiological Psychology 2020 Q1 Neurology 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion González Bedia, Manuel Universidad de Zaragoza (orcid)0000-0002-8263-2444 Gomila, Antoni 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 14 (2020), 102 1-19 Frontiers in Human Neuroscience Frontiers in Human Neuroscience 1662-5161 8205115 http://zaguan.unizar.es/record/89768/files/texto_completo.pdf Versión publicada 476349 http://zaguan.unizar.es/record/89768/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:89768 articulos driver 2021-09-02-09:20:32 ARTICLE