Alle Publikationen
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2018
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(2018): Action Anticipation: Reading the Intentions of Humans and Robots. In: IEEE Robotics and Automation Letters 3 (4), S. 4132-4139. DOI: 10.1109/LRA.2018.2861569
DOI: https://doi.org/10.1109/LRA.2018.2861569 Abstract: Humans have the fascinating capacity of processing nonverbal visual cues to understand and anticipate the actions of other humans. This “intention reading” ability is underpinned by shared motor repertoires and action models, which we use to interpret the intentions of others as if they were our own. We investigate how different cues contribute to the legibility of human actions during interpersonal interactions. Our first contribution is a publicly available dataset with recordings of human body motion and eye gaze, acquired in an experimental scenario with an actor interacting with three subjects. From these data, we conducted a human study to analyze the importance of different nonverbal cues for action perception. As our second contribution, we used motion/gaze recordings to build a computational model describing the interaction between two persons. As a third contribution, we embedded this model in the controller of an iCub humanoid robot and conducted a second human study, in the same scenario with the robot as an actor, to validate the model's “intention reading” capability. Our results show that it is possible to model (nonverbal) signals exchanged by humans during interaction, and how to incorporate such a mechanism in robotic systems with the twin goal of being able to “read” human action intentionsand acting in a way that is legible by humans
Keywords: Blick / Gaze, Body Movement, EYE GAZE, Gaze, Gesichtserkennung, HRI, human-robot interaction, iCub, Intentionserkennung (Roboter erkennt Menschenintention), Körperbewegung, Körperhaltung, Körpersprache, Nichtverbale Kommunikation, nonverbal, Nonverbal behavior, non-verbal cues, Nonverbale Kommunikation, Soziosensitive Systeme 2009
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(2009): Is family special to the brain? An event-related fMRI study of familiar, familial, and self-face recognition. In: Neuropsychologia 47 (3), S. 849-858. DOI: 10.1016/j.neuropsychologia.2008.12.027
DOI: http://www.ncbi.nlm.nih.gov/pubmed/19159636 Abstract: The face-processing network has evolved to respond differentially to different classes of faces depending on their relevance to the perceiver. For example, self-, familiar, and unknown faces are associated with activation in different neural substrates. Family should represent a special class of face stimuli that is of high relevance to individuals, because incorrect assignment of kinship can have dire consequences (e.g., incest, cuckoldry). Therefore evolution should have favored redundant mechanisms for detection of kin. We used fMRI to investigate the neural substrates associated with viewing faces of kin compared to other classes of faces (e.g., self-face, familiar face, and unknown face), and to examine the degree to which self-facial resemblance activated similar neural substrates. Contrasting kin faces with unknown faces activated substrates associated with self-face recognition, while comparing kin faces to friend faces activated posterior cingulate and cuneus. Similar posterior medial substrates were recruited when contrasting self-resembling faces with morphed faces of kin, suggesting these regions potentially represent computational processing about facial familiarity and identity. On the other hand, discrimination of self-resembling faces from familiar morphs activated anterior medial substrates (anterior cingulate cortex, ACC, medial prefrontal cortex, MPFC). These findings, and a region of interest (ROI) analysis, highlight the role of the extended face-processing network for discrimination of kin from familiar non-kin members of one's social group based on self-referent phenotypic cues.
Keywords: Adult, Bekanntheitsgrad, Brain/anatomy & histology/physiology, Discrimination (Psychology)/physiology, Face, familiarity, Female, Gesichtserkennung, Gesichtszüge, Gyrus Cinguli/physiology, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Neurowissenschaften, Pattern Recognition, Visual/physiology, Prefrontal Cortex/physiology, Visual Perception/physiology, Young Adult 2007
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(2007): The representation of information about faces in the temporal and frontal lobes. In: Neuropsychologia 45 (1), S. 124-143. DOI: 10.1016/j.neuropsychologia.2006.04.019
DOI: http://www.ncbi.nlm.nih.gov/pubmed/16797609 Abstract: Neurophysiological evidence is described showing that some neurons in the macaque inferior temporal visual cortex have responses that are invariant with respect to the position, size and view of faces and objects, and that these neurons show rapid processing and rapid learning. Which face or object is present is encoded using a distributed representation in which each neuron conveys independent information in its firing rate, with little information evident in the relative time of firing of different neurons. This ensemble encoding has the advantages of maximising the information in the representation useful for discrimination between stimuli using a simple weighted sum of the neuronal firing by the receiving neurons, generalisation and graceful degradation. These invariant representations are ideally suited to provide the inputs to brain regions such as the orbitofrontal cortex and amygdala that learn the reinforcement associations of an individual's face, for then the learning, and the appropriate social and emotional responses, generalise to other views of the same face. A theory is described of how such invariant representations may be produced in a hierarchically organised set of visual cortical areas with convergent connectivity. The theory proposes that neurons in these visual areas use a modified Hebb synaptic modification rule with a short-term memory trace to capture whatever can be captured at each stage that is invariant about objects as the objects change in retinal view, position, size and rotation. Another population of neurons in the cortex in the superior temporal sulcus encodes other aspects of faces such as face expression, eye gaze, face view and whether the head is moving. These neurons thus provide important additional inputs to parts of the brain such as the orbitofrontal cortex and amygdala that are involved in social communication and emotional behaviour. Outputs of these systems reach the amygdala, in which face-selective neurons are found, and also the orbitofrontal cortex, in which some neurons are tuned to face identity and others to face expression. In humans, activation of the orbitofrontal cortex is found when a change of face expression acts as a social signal that behaviour should change; and damage to the orbitofrontal cortex can impair face and voice expression identification, and also the reversal of emotional behaviour that normally occurs when reinforcers are reversed.
Keywords: Animals, Computer Simulation, Facial Expression, Frontal Lobe/physiology, Gesicht und assoziierte Zuschreibungen, Gesichtserkennung, Gesichtszüge, Gestik/Mimik, Haplorhini, hierarchy, Humans, Mensch oder Tier, Neurowissenschaften, Social Perception, Temporal Lobe/physiology, Tier und Mensch 1987
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(1987): Universals and cultural differences in the judgments of facial expressions of emotion. In: Journal of personality and social psychology 53 (4), S. 712-717
Abstract: We present here new evidence of cross-cultural agreement in the judgement of facial expression. Subjects in 10 cultures performed a more complex judgment task than has been used in previous cross-cultural studies. Instead of limiting the subjects to selecting only one emotion term for each expression, this task allowed them to indicate that multiple emotions were evident and the intensity of each emotion. Agreement was very high across cultures about which emotion was the most intense. The 10 cultures also agreed about the second most intense emotion signaled by an expression and about the relative intensity among expressions of the same emotion. However, cultural differences were found in judgments of the absolute level of emotional intensity.
Keywords: Adult, Attitude, Cross-Cultural Comparison, Disziplin, dominance, Emotions, Emotionserkennung, Facial Expression, FACS (Facial Action Coding System) Paul Ekman, Friesen und Tomkins (Vorgänger: FAST Facial Affect Scoring Technique, Favoriten, Female, Gesichtserkennung, Gestik/Mimik, Humans, Judgment, Kulturinvarianz, Kulturtheorie, Male, Mensch-Technik-Relationen (MTR), Realtechnik, Sozialpsychologie, Technik, zugeschriebene Emotionsvarianz 1971
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(1971): Constants across cultures in the face and emotion. In: Journal of personality and social psychology 17 (2), S. 124-129. DOI: 10.1037/h0030377
Abstract: Investigated the question of whether any facial expressions of emotion are universal. Recent studies showing that members of literate cultures associated the same emotion concepts with the same facial behaviors could not demonstrate that at least some facial expressions of emotion are universal; the cultures compared had all been exposed to some of the same mass media presentations of facial expression, and these may have taught the people in each culture to recognize the unique facial expressions of other cultures. To show that members of a preliterate culture who had minimal exposure to literate cultures would associate the same emotion concepts with the same facial behaviors as do members of Western and Eastern literate cultures, data were gathered in New Guinea by telling 342 Ss a story, showing them a set of 3 faces, and asking them to select the face which showed the emotion appropriate to the story. Ss were members of the Fore linguistic-cultural group, which up until 12 yr. ago was an isolated, Neolithic, material culture. Results provide evidence in support of the hypothesis.
Keywords: Disziplin, dominance, Emotionserkennung, FACS (Facial Action Coding System) Paul Ekman, Friesen und Tomkins (Vorgänger: FAST Facial Affect Scoring Technique, Gesichtserkennung, Gesichtszüge, Gestik/Mimik, Kulturinvarianz, Kulturtheorie, Mensch-Technik-Relationen (MTR), Realtechnik, Sozialpsychologie, Technik
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