000089768 001__ 89768
000089768 005__ 20210902121710.0
000089768 0247_ $$2doi$$a10.3389/fnhum.2020.00102
000089768 0248_ $$2sideral$$a117876
000089768 037__ $$aART-2020-117876
000089768 041__ $$aeng
000089768 100__ $$aBarone, Pamela
000089768 245__ $$aA minimal turing test: reciprocal sensorimotor contingencies for interaction detection
000089768 260__ $$c2020
000089768 5060_ $$aAccess copy available to the general public$$fUnrestricted
000089768 5203_ $$aIn 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.
000089768 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/FFI2017-86351-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-80347-R
000089768 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000089768 590__ $$a3.169$$b2020
000089768 591__ $$aPSYCHOLOGY$$b27 / 77 = 0.351$$c2020$$dQ2$$eT2
000089768 591__ $$aNEUROSCIENCES$$b179 / 273 = 0.656$$c2020$$dQ3$$eT2
000089768 592__ $$a1.127$$b2020
000089768 593__ $$aBehavioral Neuroscience$$c2020$$dQ1
000089768 593__ $$aBiological Psychiatry$$c2020$$dQ1
000089768 593__ $$aPsychiatry and Mental Health$$c2020$$dQ1
000089768 593__ $$aNeuropsychology and Physiological Psychology$$c2020$$dQ1
000089768 593__ $$aNeurology$$c2020$$dQ1
000089768 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000089768 700__ $$0(orcid)0000-0002-8263-2444$$aGonzález Bedia, Manuel$$uUniversidad de Zaragoza
000089768 700__ $$aGomila, Antoni
000089768 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000089768 773__ $$g14 (2020), 102 1-19$$pFrontiers in Human Neuroscience$$tFrontiers in Human Neuroscience$$x1662-5161
000089768 8564_ $$s8205115$$uhttps://zaguan.unizar.es/record/89768/files/texto_completo.pdf$$yVersión publicada
000089768 8564_ $$s476349$$uhttps://zaguan.unizar.es/record/89768/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
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000089768 951__ $$a2021-09-02-09:20:32
000089768 980__ $$aARTICLE