1,721,109 research outputs found

    GSRTM 1.0: un sistema cross-platform, integrato, low cost per la misurazione della risposta galvanica cutanea e la gestione di sessioni sperimentali

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    Nelle ultime due decadi abbiamo assistito alla crescente disponibilità di strumenti hardware di notevole complessità e di un costo relativamente basso. Basti pensare a come il kit robotico della Lego (Mindstorms) ha rivoluzionato il modo di pensare alla robotica. Una scienza dura e difficile che ad un tratto si è ritrovata alla portata della curiosità dei bambini (Miglino e Gigliotta, 2002; Miglino, Ponticorvo, Gigliotta e Nolfi, 2008). Ma il fenomeno hardware doveva attendere ancora qualche anno per esplodere grazie al successo indiscusso di una scheda open hardware italiana: Arduino 1. Ispirato dalla necessità di fornire ai designer uno strumento di veloce prototipizzazione, Arduino è una scheda elettronica low cost, dotata di un microprocessore e delle porte di input/output, che permette in modo rapido l'acquisizione di informazioni digitali e il controllo di attuatori di interesse. L'uso di questo tipo di schede può aver un grande ruolo nel rendere low budget le attrezzature per studiare dei fenomeni cognitivi. In particolare, in questo lavoro introduciamo GSRTM, una piattaforma hardware/software che consta di uno strumento hardware realizzato attraverso una scheda open hardware per registrare la risposta galvanica cutanea (GSR Tool 1.0), un indice fisiologico legato ad aspetti psicologici come il carico cognitivo (Nourbakhsh, Wang, Chen e Calvo, 2012) o all'esperienza emotiva (Westerink et al., 2008) ed uno strumento software (GSR Manager 1.0) in grado di gestire in maniera flessibile ed efficace sessioni sperimentali. GSR Tool 1.0: Hardware per la misurazione della risposta galvanica cutanea

    TeamSim: An Educational Micro-world for the Teaching of Team Dynamics

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    In this paper we present an educational micro-world in which a learner can manipulate variables affecting the efficiency with which a team adapts to its environment. These include the structure of hierarchical relations within the team, the structure of the communications network, and other environmental parameters. Using the micro-world, the learner can design experiments (simulations) exploring notions in the dynamics of small groups. A freeware version of TeamSim is available from http:// laral.istc.cnr.it/gigliotta/

    Equal but different: Task allocation in homogeneous communicating robots

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    Social animals have conquered the world thanks to their ability to team up in order to solve survival problems. From ants to human beings, animals show the ability to cooperate, communicate and divide labor among individuals. Cooperation allows members of a group to solve problems that a single individual could not, or to speed up a solution by splitting a task into subparts. Biological and swarm robotics studies suggest that division of labor can be favored by differences in local information, especially in clonal individuals. However, environmental information alone could not suffice despite a task requires a role differentiation to be solved. In order to overcome this problem, in this paper, we analyze and discuss the role of a communication system able to differentiate signals emitted among groups of homogeneous robots equipped with three neurocontrollers of increasing complexity, to foster the evolution of a successful role allocation strategy in a context in which local information is not enough. Moreover, emerged behaviors suggest a relation between the complexity of neural networks and the cognitive complexity of the communication strategies used to carry out role allocation

    Task Allocation in Evolved Communicating Homogeneous Robots: The Importance of Being Different

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    Social animals have conquered the world thanks to their ability to team up in order to solve survival problems. From ants to human beings, animals show ability to cooperate, communicate and divide labour among individuals. Cooperation allows members of a group to solve problems that a single individual could not, or to speed up a solution by splitting a task in subparts. Biological and swarm robotics studies suggest that division of labour can be favoured by differences in local information, especially in clonal individuals. However, environmental information alone could not suffice despite a task requires a role differentiation to be solved. In order to overcome this problem, in this paper, we analyse and discuss the role of a communication system able to differentiate signals emitted among a group of homogeneous robots to foster the evolution of a successful role allocation strategy

    Marriage record of Biagio, Amante and Gigliotta, Vincenza

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    Marriage license for Amante Biagio and Vincenza Gigliotta. Richard White was the officiant

    Supporting rehabilitation patients with COVID-19 during the pandemic: experiences from a technologybased psychological approach

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    Patients with COVID-19 experienced severe physical conditions as well as psychological difficulties. Moreover, the COVID-19 outbreak has disrupted rehabilitation programs for patients isolating them from their family and friends – that were not allowed to access hospital facilities to visit their beloved ones. Patients underwent a psychological intervention aimed at reducing distress symptoms and at favoring communication with caregivers. In particular, patients participated in videocalls via digital tablets to keep in contact with their family and friends. Through the (novel) use of technologic devices, this descriptive study aimed at reporting the most common psychological issues displayed by patients with COVID-19 during the recent pandemic in a rehabilitation Institute. Results show that symptoms of psychological distress (e.g., acute stress, depressive, anxious) were common among patients with COVID-19 in rehabilitation and were equally distributed across sex. The technology-based approach was feasible and easily integrated into the rehabilitation program. In conclusion, in this situation of emergency and isolation, technologic devices had a key role in re-establishing communication between patients and caregivers allowing to provide the so important social support resource that was lacking. Technologic devices represent useful tools that can be integrated into psychological interventions in rehabilitation contexts to promote the sychophysical health of patients and caregivers as well

    DOMENICO PARISI, IL CERCHIO E ALTRE FIGURE GEOMETRICHE

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    In his office at the Institute of Cognitive Sciences and Technologies, Domenico Parisi sat in front of a densely written whiteboard. It was crowded with different geometric figures, mainly circles. In the visual dictionary of Domenico, circles represent divers things: agents, neurons, environments and more. With a pinch of imagination, it was not difficult to see an entire world behind those figures. A simulated (micro) world designed and developed to explain interesting phenomena of its real counterpart. In this paper, I try to describe how Domenico’s ideas influenced and still influence, through his precious scientific heritage, my research work devoted to building up (micro) worlds to better understand psychological phenomena

    ENACT

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    ENACT has the ambition to achieve a new milestone towards the provision of innovative pedagogy and assessment methods for helping people to enhance and (self-)assess their negotiation competences based on recent psychological modelling and the application of current ICT research (e-learning, mobility, internet, artificial intelligence). Negotiation has been prioritised among other social competences as it is widely recognised to be a fundamental key element in entrepreneurship skills education. It is also recognised to help people to better communicate and improve their social skills by flexibly adapting to changing situations and environments. ENACT will implement a training methodology, in the form of an online “game”, which emphasizes practical skills by exploiting an innovative technology that uses autonomous intelligent agents as virtual interlocutors for the user. Together with the training methodology, ENACT will also offer an innovative and scientifically sound assessment methodology, in the form of an intelligent tutor, capable of providing reliable analysis of the user’s negotiation skills and communication style. The technology developed by ENACT will be freely accessible online and will exploit modern mobile devices, such as tablets and smartphones. The main drive for ENACT comes from the observation of a need, at European level, for flexible, accessible, and affordable learning tools, which are capable of helping large and heterogeneous groups of people to access informal learning pathways for the autonomous improvement and assessment of their social competences. The rationale for ENACT is that of addressing this need by bridging social skills enhancement and assessment with modern technology. The project partners are from UK, Italy, Turkey, and Spain. This assures that the new technology will be tested across different cultures and target groups, ranging from school children and teachers in school and higher education , to SME managers and employee

    Evolution of Communication-Based Collaborative Behavior in Homogeneous RobotsArtificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems

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    In the field of collective robotics much research has been devoted to the study of coordinated and cooperative behaviours where typically all the robots play the same function. Much less attention has been devoted to the development of groups of robots that play different roles (robot teams), probably because evolutionary collective robotics tend to use groups of homogeneous robots, in which role differentiation poses difficult challenges. In the few Evolutionary robotics studies in which role differentiation has been demonstrated such differentiation depends exclusively on the robots physical interactions, making the solutions found by evolution quite fragile, in particular with respect to the number of robots that form the group. In this paper we apply a method for role differentiation developed in previous work to the evolution of teams of homogeneous robots in which role differentiation is based on a dedicated communication channel. Our evolved robots are able to negotiate their role through communication and perform very effectively their collaborative task, which requires that one robot is sent to a 'mission' away from the group while all other robots remain in a 'home'. Our simulations also show that the method proposed, based on the rewarding of communication-based role differentiation, is necessary for the evolution of the desired behaviour. Finally, we show that since role differentiation is based on communication and not only on robot physical interactions, evolved solutions are considerably robust with respect to the number of robots composing the group
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