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Neuropsychiatric Electrophysiology 2016年第1期2卷 1-34页

作者： Igor Timofeev Leon Kenemans P. F. Fabene A. Ahnaou Sebastian Olbrich Robert Oostenveld Martijn Arns Nash Boutros Fernando Lopes da Silva Ole Jensen Sandra K. Loo Hans-Peter Landolt Jan Mathijs Schoffelen Alida A. Gouw Arjan Hillebrand Matteo Demuru Peterjan Ris Philip Scheltens Cornelis J. Stam Ida A. Nissen Ilse E. C. W. van Straaten Jaap C. Reijneveld Sonja Simpraga Ricardo Alvarez-Jimenez Huibert D. Mansvelder Joop M. A. van Gerven Geert Jan Groeneveld Simon-Shlomo Poil Klaus Linkenkaer-Hansen Michel J. A. M. van Putten Marleen C. Tjepkema-Cloostermans Jeannette Hofmeijer Claudio Babiloni Antonio Ivano Triggiani Roberta Lizio Susanna Cordone Antonio Brunetti Giacomo Tattoli Vitoantonio Bevilacqua Andrea Soricelli Raffaele Ferri Flavio Nobili Loreto Gesualdo José Carlos Millán-Calenti Ana Buján Rosanna Tortelli Valentina Cardinali Orietta Barulli Antonio Giannini Pantaleo Spagnolo Silvia Armenise Grazia Buenza Gaetano Scianatico Giancarlo Logroscino Giovanni B. Frisoni Claudio Del Percio Joerg F. Hipp Robert Comley Darren Bentley Michael Derks Pilar Garces Frederic Knoflach Sian Lennon-Chrimes Stephane Nave Jana Noldeke Nick Seneca Gerhard Trube Christoph Wandel Andrew WThomas Maria-Clemancia Hernandez Berrie Gerrits Madelon A. Vollebregt Roy P. C. Kessels Donna Palmer Evian Gordon Tieme W. P. Janssen Dirk J. Heslenfeld Rosa van Mourik Katleen Geladé Athanasios Maras Jaap Oosterlaan Daniel Brandeis Christian Sander Ulrich Hegerl Nash N. Boutros Alexandra Kirsten Anna-Lena Dohrmann Galina Surova T. A. Iseger J. L. Kenemans M. Arns Marcel A. Pawlowski Marek Adamczyk Thorsten Mikoteit Axel Steiger Martien J. Kas Karlijn I. van Aerde Clementina M. van Rijn Marijtje L. A. Jongsma Philip L. C. van den Broek Jan van Egmond C. Walsh L. Raeymaekers R. Biermans N. V. Manyakov C. Wintmolders A. Bottelbergs K. Van Kolen D. Moechars J. A. Kemp W. H. Drinkenburg Nicola Marzano Susanna Lopez Giuseppe Noce Cristina Bagnoli Paolo Maria Rossini Flavio Mariano Nobili David Bartres Faz Olivier Blin Pierre Payoux Regis Bordet Bernh Department of Psychiatry and Neuroscience Université Laval Québec Canada Centre de recherche de l’Institut universitaire en santé mentale de Québec (CRIUSMQ) Université Laval Québec Canada Experimental Psychology Helmholtz Institute Utrecht University Utrecht Netherlands Department Neuroscience Biomedicine and Movement School of Medicine University of Verona Verona Italy A Division of Janssen Pharmaceutica NV Department of Neuroscience Discovery Janssen Research & Development Beerse Belgium Department for Psychiatry Psychotherapy and Psychosomatic University of Zurich Zurich Switzerland Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen The Netherlands NatMEG Karolinska Institute Stockholm Sweden euroCare group Munich Germany Research Institute Brainclinics Nijmegen The Netherlands Department of Experimental Psychology Utrecht University Utrecht The Netherlands University of Missouri-Kansas City Kansas City USA Centre of Neuroscience Swammerdam Institute for Life Sciences University of Amsterdam Amsterdam The Netherlands School of Psychology University of Birmingham Birmingham UK Department of Psychiatry and Biobehavioral Sciences UCLA Los Angeles USA Institute of Pharmacology and Toxicology University of Zürich Zürich Switzerland Zürich Center for interdisciplinary Sleep Research University of Zürich Zürich Switzerland Donders Institute Radboud University Nijmegen The Netherlands Alzheimer Center and Department of Neurology Neuroscience Campus Amsterdam VU University Medical Center Amsterdam The Netherlands Department of Clinical Neurophysiology and MEG Center Neuroscience Campus Amsterdam VU University Medical Center Amsterdam The Netherlands Department of Clinical Neurophysiology and MEG Center VU University Medical Center Amsterdam The Netherlands Brain Tumor Center Amsterdam & Department of Neurology VU University Medical Center Amsterdam The Netherlands Department Integrative Neurophysiology CNCR Neuroscie

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Facial communicative signal interpretation in human-robot interaction by discriminative video subsequence selection

Facial communicative signal interpretation in human-robot in...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Christian Lang Sven Wachsmuth Marc Hanheide Heiko Wersing Research Institute for Cognition and Robotics Applied Informatics Bielefeld University Germany School of Computer Science University of Lincoln UK Honda Research Institute Europe Offenbach Germany

Facial communicative signals (FCSs) such as head gestures, eye gaze, and facial expressions can provide useful feedback in conversations between people and also in human-robot interaction. This paper presents a pattern recognition approach for the interpretation of FCSs in terms of valence, based on the selection of discriminative subsequences in video data. These subsequences capture important temporal dynamics and are used as prototypical reference subsequences in a classification procedure based on dynamic time warping and feature extraction with active appearance models. Using this valence classification, the robot can discriminate positive from negative interaction situations and react accordingly. The approach is evaluated on a database containing videos of people interacting with a robot by teaching the names of several objects to it. The verbal answer of the robot is expected to elicit the display of spontaneous FCSs by the human tutor, which were classified in this work. The achieved classification accuracies are comparable to the average human recognition performance and outperformed our previous results on this task.

关键词： Training Active appearance model Databases Optimization Feature extraction Visualization

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"Can you answer questions, Flobi?": Interactionally defining a robot's competence as a fitness instructor

"Can you answer questions, Flobi?": Interactionally defining...

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IEEE International Symposium on Robot and Human Interactive Communication

作者： Luise Sussenbach Karola Pitsch Ingmar Berger Nina Riether Franz Kummert Applied Informatics Group and the Research Institute for Cognition and Robotics Faculty of Technology Bielefeld University

ISBN: (纸本)9781467346047

Users draw on four sources to judge a robot's competence: (1) the robot's voice, (2) physical appearance of and (3) the interaction experience with the robot but also (4) the relationship between the robot's physical appearance and its conduct. Furthermore, most approaches in social robotics have an outcome-oriented focus and thus use questionnaires to measure a global evaluation of the robot after interaction took place. The present research takes a process-oriented approach to explore the factors relevant in the formation of users' attitudes toward the robot. To do so, an ethnographic approach (Conversation Analysis) was employed to analyze the micro-coordination between user and robot. We report initial findings from a study in which a robot took the role of a fitness instructor. Our results emphasize that the participant judges step-by-step the robot's capabilities and differentiates its competence on two levels regarding to the robot's role: a robot as a (1) social/interactional co-participant and as a (2) fitness instructor.

关键词： Robot instructor competence health Consumers Physical Appearance, Body

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A saliency model for goal directed actions

A saliency model for goal directed actions

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IEEE International Conference on Development and Learning, ICDL

作者： Tadmeri Narayan Vikram Marko Tscherepanow Britta Wrede Research Institute for Cognition and Robotics (CoR-Lab) and Applied Informatics Bielefeld University Bielefeld Germany

In this paper, we propose a saliency model which can be used to guide eye movements for viewing a goal-directed action video. The model employs top-down and bottom-up saliency components which work purely on contrasts of random pixels in the image. We construct task specific spatio-temporal priors and integrate them into the top-down and bottom-up modules. These priors reduce the search space for the target object, thereby automatically suppressing those image regions that are task irrelevant. For the purpose of evaluation we introduce a new goal-directed video database containing 60 sequences of five goal-directed actions performed by the same human demonstrator. The presented results of saliency detection justify the proposed model and demonstrate its advantage over models for task independent saliency detection.

关键词： Computational modeling Visualization Streaming media Search problems Humans Robots Predictive models

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Integrating habituation into saliency maps

Integrating habituation into saliency maps

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IEEE International Conference on Development and Learning, ICDL

作者： Tadmeri Narayan Vikram Marko Tscherepanow Britta Wrede Research Institute for Cognition and Robotics (CoR-Lab) and Applied Informatics Bielefeld University Bielefeld Germany

Computational modelling of visual saliency has been an active area of research since the last two decades. It has profound impact on robotics as it helps in automatically selecting visually interesting regions from a given scene. A model of visual saliency generates a saliency map - which is a two-dimensional representation of the visual scene - where each pixel highlights the degree of saliency at a given spatial location. A saliency map is meant to be a surrogate representation of the spread of visual attention over the scene. Several saliency maps such as [1], [2] and [3] have been proposed in the literature. They are successful in mimicking the human eye-gaze on images for a free-viewing condition. The saliency models operate at the pixel level and rely on colour contrasts to compute the saliency at a given point. However, humans do not necessarily view images at the pixel level, but rather segment the scene in terms of objects. This is at a higher level of abstraction which the contemporary saliency models do not handle.

关键词： Rabbits Computational modeling Visualization Robots Humans Psychology Pattern recognition

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Contingency scaffolds language learning

Contingency scaffolds language learning

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IEEE International Conference on Development and Learning, ICDL

作者： Katrin Solveig Lohan Katharina Rohlfing Joe Saunders Chrystopher Nehaniv Britta Wrede Robotics Brain & Cognitive Sciences Instituto Italiano di Tecnologia Bielefeld University Cognitive Interaction Technology - Center of Excellence Adaptive Systems Research Group University of Hertfordshire Applied Informatics Group Research Institute for Cognition and Robotics

In human robot interaction the question how to communicate is an important one. The answer to this question can be approached through several perspectives. One approach to study the best way how a robot should behave in an interaction with a human is by providing a consistent robotic behavior. From this we can gain insights into what parameters are triggering what responsive behavior in an user. This method allows us as roboticists to investigate how we can elicit a specific behavior in users in order to facilitate robot's learning. In previous studies, we have shown how responsive eye gaze and feedback on a looming detection is modifying the human tutoring behavior [1]. In this paper, we present a study was carried out within the ITALK project. The study is targeting, how we can tune robotic feedback strategies of the iCub robot to evoke a tutoring behavior in a human tutor that is supporting a language acquisition system. We used a longitudinal approach for the study to also verify the verbal feedback given by the robot.

关键词： Robot sensing systems Usability Humans Face Shape

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Effects of a Robot's Aesthetic Design on the attribution of social capabilities

Effects of a Robot's Aesthetic Design on the attribution of ...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Frank Hegel Faculty of Technology Applied Informatics (AGAI) Research Institute for Cognition and Robotics (CoR-Lab) Bielefeld University Bielefeld Germany

A robot's physical appearance is the most visible and most easily accessible information about its capabilities. The objective of the experiment presented in this paper is to bring insights into the evaluation of a robot's aesthetic design with regard to its social capabilities. Specifically, participants evaluated four human-like and four highly anthropomorphic robots regarding their aesthetic design, specific capabilities, and human-likeness. The robots varied in the quality of the industrial design: two of the human-like as well as two of the anthropomorphic robots have obviously been professionally designed while the others appear less professionally (i.e., rather unsophisticated) designed. The findings demonstrate that participants judged sophisticated designed robots to possess significantly more social capabilities (e.g., honesty, intelligence, emotionality). Human-likeness of the different robots did not have any significant effects on the attribution of social capabilities.

关键词： Service robots Humans Robot sensing systems Educational institutions Anthropomorphism Sections

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Better be reactive at the beginning. Implications of the first seconds of an encounter for the tutoring style in human-robot-interaction

Better be reactive at the beginning. Implications of the fir...

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IEEE International Symposium on Robot and Human Interactive Communication

作者： Karola Pitsch Katrin S. Lohan Katharina Rohlfing Joe Saunders Chrystopher L. Nehaniv Britta Wrede Applied Informatics Group and the Research Institute for Cognition and Robotics Faculty of Technology Bielefeld University Cognitive Humanoids Lab Istituto Italiano di Tecnologia for Robotics Brain & Cognitive Sciences Emergentist Semantics group at Bielefeld University Adaptive Systems Research Group School of Computer Science University of Hertfordshire

ISBN: (纸本)9781467346047

The paper investigates the effects of a robot's "on-line" feedback during a tutoring situation with a human tutor. Analysis is based on a study conducted with an iCub robot that autonomously generates its feedback (gaze, pointing gesture) based on the system's perception of the tutor's actions using the idea of reciprocity of actions. Sequential micro-analysis of two opposite cases reveals how the robot's behavior (responsive vs. non-responsive) pro-actively shapes the tutor's conduct and thus co-produces the way in which it is being tutored. A dialogic and a monologic tutoring style are distinguished. The first 20 seconds of an encounter are found to shape the user's perception and expectations of the system's competences and lead to a relatively stable tutoring style even if the robot's reactivity and appropriateness of feedback changes.

关键词： Coaching ENCOUNTERS Robot Feedback Human machine interaction REACTIVE cargo

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A random center surround bottom up visual attention model useful for salient region detection

A random center surround bottom up visual attention model us...

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2011 IEEE Workshop on Applications of Computer Vision, WACV 2011

作者： Vikram, Tadmeri Narayan Tscherepanow, Marko Wrede, Britta Applied Informatics Group Bielefeld University Bielefeld Germany Research Institute for Cognition and Robotics CoR-Lab. Bielefeld University Bielefeld Germany

ISBN: (纸本)9781424494965

In this article, we propose a bottom-up saliency model which works on capturing the contrast between random pixels in an image. The model is explained on the basis of the stimulus bias between two given stimuli (pixel intensity values) in an image and has a minimal set of tunable parameters. The methodology does not require any training bases or priors. We followed an established experimental setting and obtained state-of-the-art-results for salient region detection on the MSR dataset. Further experiments demonstrate that our method is robust to noise and has, in comparison to six other state-of-the-art models, a consistent performance in terms of recall, precision and F-measure. © 2010 IEEE.

关键词： Pixels

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Impact of Real-time Visual Attention on Computer Vision Products and Cognitive robotics

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Procedia Computer Science 2011年 7卷 332-333页

作者： Tadmeri Narayan Vikram Marko Tscherepanow Britta Wrede Research Institute for Cognition and Robotics (CoR-Lab) and Applied Informatics Group Bielefeld University Bielefeld Germany

In this article we explore the current avenues and future applications of visual attentional models that have a significant bearing on the fields of computer vision and cognitive robotics. Computational modelling of visual attention is among the active areas of research which are being pursued by diverse communities like computer science, systems biology, psychology and electrical engineering. An efficient model for visual attention is shown to have interesting applications to many real-life problems. We explore these ideas and point to some more plausible and useful applications of visual attention which could impact positively on our lives.

关键词： Visual Attention Saliency Map robotics Eye-Gaze Predictions Human-Robot Interaction

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