scholarly journals How attitudes generated by humanoid robots shape human brain activity

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
G. Di Cesare ◽  
F. Vannucci ◽  
F. Rea ◽  
A. Sciutti ◽  
G. Sandini
Keyword(s):  
Human Brain ◽  
Humanoid Robot ◽  
Brain Activity ◽  
Negative Attitude ◽  
Humanoid Robots ◽  
Bold Signal ◽  
Future Perspectives ◽  
Soft Or ◽  
Forms Of Vitality

Abstract During interpersonal interactions, people perform actions with different forms of vitality, communicating their positive or negative attitude toward others. For example, a handshake can be “soft” or “vigorous”, a caress can be ‘kind’ or ‘rushed’. While previous studies have shown that the dorso-central insula is a key area for the processing of human vitality forms, there is no information on the perception of vitality forms generated by a humanoid robot. In this study, two fMRI experiments were conducted in order to investigate whether and how the observation of actions generated by a humanoid robot (iCub) with low and fast velocities (Study 1) or replicating gentle and rude human forms (Study 2) may convey vitality forms eliciting the activation of the dorso-central insula. These studies showed that the observation of robotic actions, generated with low and high velocities, resulted in activation of the parieto-frontal circuit typically involved in the recognition and the execution of human actions but not of the insula (Study 1). Most interestingly, the observation of robotic actions, generated by replicating gentle and rude human vitality forms, produced a BOLD signal increase in the dorso-central insula (Study 2). In conclusion, these data highlight the selective role of dorso-central insula in the processing of vitality forms opening future perspectives on the perception and understanding of actions performed by humanoid robots.

Is Artistic Composition in Abstract Art Detected Automatically?

2021 ◽  
pp. 102-106
Author(s):  
Claudia Menzel ◽  
Gyula Kovács ◽  
Gregor U. Hayn-Leichsenring ◽  
Christoph Redies
Keyword(s):  
Human Brain ◽  
Significant Role ◽  
Mismatch Negativity ◽  
Brain Activity ◽  
Perceptual Processing ◽  
Abstract Art ◽  
Electrical Brain Activity ◽  
Image Set ◽  
The Brain

Most artists who create abstract paintings place the pictorial elements not at random, but arrange them intentionally in a specific artistic composition. This arrangement results in a pattern of image properties that differs from image versions in which the same pictorial elements are randomly shuffled. In the article under discussion, the original abstract paintings of the author’s image set were rated as more ordered and harmonious but less interesting than their shuffled counterparts. The authors tested whether the human brain distinguishes between these original and shuffled images by recording electrical brain activity in a particular paradigm that evokes a so-called visual mismatch negativity. The results revealed that the brain detects the differences between the two types of images fast and automatically. These findings are in line with models that postulate a significant role of early (low-level) perceptual processing of formal image properties in aesthetic evaluations.

scholarly journals The modular and integrative functional architecture of the human brain

2015 ◽  
Vol 112 (49) ◽  
pp. E6798-E6807 ◽  
Author(s):  
Maxwell A. Bertolero ◽  
B. T. Thomas Yeo ◽  
Mark D’Esposito
Keyword(s):  
Human Brain ◽  
Cognitive Functions ◽  
Topic Model ◽  
Brain Activity ◽  
Modular Function ◽  
Imaging Data ◽  
Functional Architecture ◽  
Brain Imaging Data ◽  
The Brain

Network-based analyses of brain imaging data consistently reveal distinct modules and connector nodes with diverse global connectivity across the modules. How discrete the functions of modules are, how dependent the computational load of each module is to the other modules’ processing, and what the precise role of connector nodes is for between-module communication remains underspecified. Here, we use a network model of the brain derived from resting-state functional MRI (rs-fMRI) data and investigate the modular functional architecture of the human brain by analyzing activity at different types of nodes in the network across 9,208 experiments of 77 cognitive tasks in the BrainMap database. Using an author–topic model of cognitive functions, we find a strong spatial correspondence between the cognitive functions and the network’s modules, suggesting that each module performs a discrete cognitive function. Crucially, activity at local nodes within the modules does not increase in tasks that require more cognitive functions, demonstrating the autonomy of modules’ functions. However, connector nodes do exhibit increased activity when more cognitive functions are engaged in a task. Moreover, connector nodes are located where brain activity is associated with many different cognitive functions. Connector nodes potentially play a role in between-module communication that maintains the modular function of the brain. Together, these findings provide a network account of the brain’s modular yet integrated implementation of cognitive functions.

Socially Interactive Robotic Platforms as Sign Language Tutors

2014 ◽  
Vol 11 (01) ◽  
pp. 1450003 ◽  
Author(s):  
Hatice Kose ◽  
Neziha Akalin ◽  
Pinar Uluer
Keyword(s):  
Sign Language ◽  
Humanoid Robot ◽  
Humanoid Robots ◽  
Human Robot Interaction ◽  
Learning Ability ◽  
Robot Interaction ◽  
Communication Problems ◽  
Adult Participants ◽  
Robot Platform

This paper investigates the role of interaction and communication kinesics in human–robot interaction. This study is part of a novel research project on sign language (SL) tutoring through interaction games with humanoid robots. The main goal is to motivate the children with communication problems to understand and imitate the signs implemented by the robot using basic upper torso gestures and sound. We present an empirical and exploratory study investigating the effect of basic nonverbal gestures consisting of hand movements, body and face gestures expressed by a humanoid robot, and having comprehended the word, the participants will give relevant feedback in SL. This way the participant is both a passive observer and an active imitator throughout the learning process in different phases of the game. A five-fingered R3 robot platform and a three-fingered Nao H-25 robot are employed within the games. Vision-, sound-, touch- and motion-based cues are used for multimodal communication between the robot, child and therapist/parent within the study. This paper presents the preliminary results of the proposed game tested with adult participants. The aim is to evaluate the SL learning ability of participants from a robot, and compare different robot platforms within this setup.

scholarly journals Humanoid robots are perceived as an evolutionary threat

2021 ◽  
Author(s):  
Zhengde Wei ◽  
Ying Chen ◽  
Jiecheng Ren ◽  
Yi Piao ◽  
Pengyu Zhang ◽  
...  
Keyword(s):  
Humanoid Robot ◽  
Negative Attitude ◽  
Visual Pathway ◽  
Humanoid Robots ◽  
Implicit Attitude ◽  
Amygdala Activation ◽  
The Future ◽  
Amygdala Response ◽  
Social Encounters ◽  
Future Direction

In the grand challenges of successful social encounters with socially sophisticated robots and shaping the future development of robots in socially acceptable ways, we need to quantify people perception to the robots. The critical assumption at the perception to humanoid robots, namely that people perceive humanoid robots as an evolutionary threat, has not been directly confirmed. We assume the existence of behavioral and neural automaticity for humanoid robots that were previously only evident for evolutionary threats. Here, we observed a monocular advantage for the perception of humanoid robots the same as an evolutionary threat (i.e., snakes). Our neuroimaging analysis indicated that unconscious presentation of humanoid robot vs. human images led to significant left amygdala activation that was associated with negative implicit attitude to humanoid robots. After successfully weakening negative attitude, the left amygdala response to unconscious presentation of humanoid robot images decreased, and the decrease of left amygdala response was positively associated with the decrease of negative attitude. Our results reveal that processing of information about humanoid robots displays automaticity with regard to recruitment of visual pathway and amygdala activation. Our findings that humans may perceive humanoid robots as an evolutionary threat will guide the future direction of robots development and bring us closer to interacting with socially sophisticated robots.

scholarly journals Neuronal synchrony and the relation between the BOLD response and the local field potential

2016 ◽  
Author(s):  
Dora Hermes ◽  
Mai Nguyen ◽  
Jonathan Winawer
Keyword(s):  
Human Brain ◽  
Brain Activity ◽  
Field Potential ◽  
Neuronal Population ◽  
Alpha Power ◽  
Bold Signal ◽  
Population Responses ◽  
Data Matching ◽  
Two Measures ◽  
The Relationship

AbstractThe most widespread measures of human brain activity are the blood oxygen level dependent (BOLD) signal and surface field potential. Prior studies report a variety of relationships between these signals. To develop an understanding of how to interpret these signals and the relationship between them, we developed a model of (a) neuronal population responses, and (b) transformations from neuronal responses into the fMRI BOLD signal and electrocorticographic (ECoG) field potential. Rather than seeking a transformation between the two measures directly, this approach interprets each measure with respect to the underlying neuronal population responses. This model accounts for the relationship between BOLD and ECoG data from human visual cortex in V1-V3, with the model predictions and data matching in three ways: Across stimuli, the BOLD amplitude and ECoG broadband power were positively correlated, the BOLD amplitude and alpha power (8-13 Hz) were negatively correlated, and the BOLD amplitude and narrowband gamma power (30-80 Hz) were uncorrelated. The two measures provide complementary information about human brain activity and we infer that features of the field potential that are uncorrelated with BOLD arise largely from changes in synchrony, rather than level, of neuronal activity.

Role of structural plasticity in the human brain for multisensory compensation following unilateral peripheral vestibular lesion

2008 ◽  
Vol 35 (S 01) ◽  
Author(s):  
C Helmchen ◽  
J Klinkenstein ◽  
T Sander ◽  
J Gliemroth ◽  
B Machner ◽  
...  
Keyword(s):  
Human Brain ◽  
Structural Plasticity ◽  
Vestibular Lesion

Modality and folk psychology

2019 ◽  
Vol 28 (1) ◽  
pp. 19-27
Author(s):  
Ja. O. Petik
Keyword(s):  
Modal Logic ◽  
Brain Activity ◽  
Formal System ◽  
Philosophy Of Logic ◽  
Psychological States ◽  
Formal Systems ◽  
Modern Psychology ◽  
Philosophical Interpretation ◽  
Important Direction

The connection of the modern psychology and formal systems remains an important direction of research. This paper is centered on philosophical problems surrounding relations between mental and logic. Main attention is given to philosophy of logic but certain ideas are introduced that can be incorporated into the practical philosophical logic. The definition and properties of basic modal logic and descending ones which are used in study of mental activity are in view. The defining role of philosophical interpretation of modality for the particular formal system used for research in the field of psychological states of agents is postulated. Different semantics of modal logic are studied. The hypothesis about the connection of research in cognitive psychology (semantics of brain activity) and formal systems connected to research of psychological states is stated.

Role of Pharmacogenomics in Antiepileptic Drug Therapy: Current Status and Future Perspectives

2018 ◽  
Vol 23 (37) ◽  
pp. 5760-5765 ◽  
Author(s):  
Antonio Gambardella ◽  
Angelo Labate ◽  
Laura Mumoli ◽  
Iscia Lopes-Cendes ◽  
Fernando Cendes
Keyword(s):  
Drug Therapy ◽  
Antiepileptic Drug ◽  
Current Status ◽  
Future Perspectives ◽  
Antiepileptic Drug Therapy

Humans and humanoids

2018 ◽  
Author(s):  
Giorgio Metta
Keyword(s):  
Humanoid Robot ◽  
Robot Vision ◽  
Physical Space ◽  
Humanoid Robots ◽  
Human Robot Interaction ◽  
Biologically Inspired ◽  
Robot Interaction ◽  
Humanoid Robotics ◽  
Biomimetic Robot ◽  
Compliant Actuation

This chapter outlines a number of research lines that, starting from the observation of nature, attempt to mimic human behavior in humanoid robots. Humanoid robotics is one of the most exciting proving grounds for the development of biologically inspired hardware and software—machines that try to recreate billions of years of evolution with some of the abilities and characteristics of living beings. Humanoids could be especially useful for their ability to “live” in human-populated environments, occupying the same physical space as people and using tools that have been designed for people. Natural human–robot interaction is also an important facet of humanoid research. Finally, learning and adapting from experience, the hallmark of human intelligence, may require some approximation to the human body in order to attain similar capacities to humans. This chapter focuses particularly on compliant actuation, soft robotics, biomimetic robot vision, robot touch, and brain-inspired motor control in the context of the iCub humanoid robot.

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