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Automated Prediction of Extraversion During Human–Humanoid Interaction

Salvatore Maria Anzalone, Giovanna Varni, Serena Ivaldi, Mohamed Chetouani
2017 International Journal of Social Robotics  
Experimental results highlight that it possible to predict Extraversion of the human partner from nonverbal behavior during human-robot interaction with an accuracy of 62%.  ...  A higher accuracy, 70%, is obtained from the computational model by explicitly combining the dynamics of interpersonal interaction and the attitude of the participants towards the robots.  ...  Compliance with ethical standards The experimental protocol used in this work (Ivaldi et al., "Engagement during human-humanoid interaction", IRB n.20135200001072) received approbation by the local Ethics  ... 
doi:10.1007/s12369-017-0399-6 fatcat:c25wjy32vba2djlhvv2sp4nima

How Social Signal Processing (SSP) Can Help Assessment of Bonding Phenomena in Developmental Psychology? [chapter]

Emilie Delaherche, Sofiane Boucenna, Mohamed Chetouani, David Cohen
2013 Smart Innovation, Systems and Technologies  
In the field of biology, the study of bonding has been renewed by the discovery of non genetic transmission of behavioural traits through early mother-infant interaction and the role of stress hormones  ...  However, the study of early interaction is complex and Social Signal Processing (SSP) can help in addressing some issues.  ...  This work was supported by the UPMC "Emergence 2009" program, the European Union Seventh Framework Programme under grant agreement n • 288241 and the Fondation de France.  ... 
doi:10.1007/978-3-642-35467-0_34 fatcat:6p3haxfbvrbmxlufgxkxydvpfy

Online Hybrid Motion Planning for Dyadic Collaborative Manipulation via Bilevel Optimization

Theodoros Stouraitis, Iordanis Chatzinikolaidis, Michael Gienger, Sethu Vijayakumar
2020 IEEE Transactions on robotics  
Effective collaboration is based on online adaptation of one's own actions to the actions of their partner.  ...  We propose an efficient bilevel formulation that combines graph search methods with trajectory optimization, enabling robotic agents to adapt their policy on-the-fly in accordance to changes of the dyadic  ...  reviewers for their suggestions for improving the quality of this article.  ... 
doi:10.1109/tro.2020.2992987 fatcat:3id7lkc3zjftzcnbtj7elcvcva

Toward an Attentive Robotic Architecture: Learning-Based Mutual Gaze Estimation in Human–Robot Interaction

Maria Lombardi, Elisa Maiettini, Davide De Tommaso, Agnieszka Wykowska, Lorenzo Natale
2022 Frontiers in Robotics and AI  
In this context, the investigation of how to endow a humanoid robot with social behavioral skills typical of humanhuman interactions is still an open problem.  ...  We propose a learning-based framework to automatically detect eye contact events in online interactions with human partners.  ...  We also thank all the people who took part in the experiments.  ... 
doi:10.3389/frobt.2022.770165 pmid:35321344 pmcid:PMC8935014 doaj:92193c3f9f6640628eba94edf29e60e6 fatcat:74whn3r3nvegraljxpqpa7iag4

Dyadic collaborative Manipulation through Hybrid Trajectory Optimization

Theodoros Stouraitis, Iordanis Chatzinikolaidis, Michael Gienger, Sethu Vijayakumar
2018 Conference on Robot Learning  
We also realize, in hardware, effective co-manipulation of a large object by the human and the robot, including eminent grasp changes as well as optimal dyadic interactions to realize the joint task.  ...  We demonstrate the efficacy of the optimization method by investigating the effect of robot policy changes (trajectories, timings, grasp-holds) based on changes in collaborative partner policies using  ...  University of Edinburgh, as part of the UK RAI Hub in Future AI and Robotics for Space (FAIR-SPACE) with project ID: EP/R026092/1, and UKIERI as part of the project with ID: UKIERI-DST 2016-17-0152.  ... 
dblp:conf/corl/StouraitisCGV18 fatcat:nsev62wekjgt3gohvf3bsl6r6q

Towards real-time whole-body human dynamics estimation through probabilistic sensor fusion algorithms

Claudia Latella, Marta Lorenzini, Maria Lazzaroni, Francesco Romano, Silvio Traversaro, M. Ali Akhras, Daniele Pucci, Francesco Nori
2018 Autonomous Robots  
This paper builds upon our former work on human dynamics estimation by proposing a probabilistic framework and an estimation tool for online monitoring of the human dynamics during human-robot collaboration  ...  Current state of the art methods, however, do not allow one for reliable estimations of the human dynamics during physical human-robot interaction.  ...  The European Commission or its services cannot be held responsible for any use that may be made of the information it contains.  ... 
doi:10.1007/s10514-018-9808-4 fatcat:pt3nf67wxrf43na45qercts2ye

Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction

Maryam Alimardani, Kazuo Hiraki
2020 Frontiers in Robotics and AI  
In this paper, we first illustrate the state of the art in passive BCI technology and then provide examples of BCI employment in human-robot interaction (HRI).  ...  Particularly in the field of robotics, passive BCIs provide a promising channel for prediction of user's cognitive and affective state for development of a user-adaptive interaction.  ...  AUTHOR CONTRIBUTIONS MA wrote the manuscript with subsequent input from KH. All authors contributed to the article and approved the submitted version.  ... 
doi:10.3389/frobt.2020.00125 pmid:33501291 pmcid:PMC7805996 fatcat:6y3m5wdylbdw5jmjyag5bqjvqi

Human Motion Understanding for Selecting Action Timing in Collaborative Human-Robot Interaction

Francesco Rea, Alessia Vignolo, Alessandra Sciutti, Nicoletta Noceti
2019 Frontiers in Robotics and AI  
In the second context, we evaluate online on the robot iCub the capability of the action signature in providing hints to establish an actual temporal coordination during the interaction with human participants  ...  The goal of this work is to make a further step toward endowing robot with such capability.  ...  AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.  ... 
doi:10.3389/frobt.2019.00058 pmid:33501073 pmcid:PMC7805633 fatcat:ojeseggjoneetiw2rtcdpfvvji

Evaluating the Engagement with Social Robots

Salvatore M. Anzalone, Sofiane Boucenna, Serena Ivaldi, Mohamed Chetouani
2015 International Journal of Social Robotics  
The quality of a human-robot interaction can not be reduced to the evaluation of the employed algorithms: we should integrate the engagement information that naturally arises during interaction in response  ...  We will introduce a set of metrics useful in direct, face to face scenarios, based on the behaviors analysis of the human partners.  ...  Acknowledgements This work was supported by the Investissiments d'Avenir program (SMART ANR-11-IDEX-0004-02) through Project EDHHI/SMART, the ANR Project Pramad, and by the European Commission, within  ... 
doi:10.1007/s12369-015-0298-7 fatcat:yjq7ymlkkza2xmkvplozazwkce

A review of verbal and non-verbal human–robot interactive communication

Nikolaos Mavridis
2015 Robotics and Autonomous Systems  
In this paper, an overview of human-robot interactive communication is presented, covering verbal as well as non-verbal aspects.  ...  Following a historical introduction, and motivation towards fluid human-robot communication, ten desiderata are proposed, which provide an organizational axis both of recent as well as of future research  ...  Furthermore, when a robot is purposefully issuing an inform statement ("there is a tomato behind you") it should know that the human does not already know that; i.e. again an estimated model of second-order  ... 
doi:10.1016/j.robot.2014.09.031 fatcat:g5eso4vrdzhlbjwk7eblea2avu

Online inference of human belief for cooperative robots

Moritz C. Buehler, Thomas H. Weisswange
2018 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
For human-robot cooperation, inferring a human's cognitive state is very important for an efficient and natural interaction.  ...  In contrast to most prior work, we explicitly estimate the human belief instead of inferring only a single mode or intention.  ...  It proved to be an efficient concept to evaluate and enhance the performance of a human operator in his interaction with a machine.  ... 
doi:10.1109/iros.2018.8594076 dblp:conf/iros/BuehlerW18 fatcat:7wrikkjujfb73o7mpu4lri4k4i

Now you feel it, now you don't

Susanne Quadflieg, Israr Ul-Haq, Nikolaos Mavridis
2016 Interaction Studies  
Moreover, eeriness towards robots, but not towards humans, was most strongly predicted by a lack of perceived usefulness.  ...  Robots seemingly in possession of an experiential mind, as well as humans allegedly incapable thereof, have been reported to elicit feelings of eeriness in their perceivers.  ...  Thomas Schubert for advice on the multi-level regression analyses presented in this paper. Any mistakes made are our own. This research was funded by a start-up grant awarded to SQ by NYU|AD.  ... 
doi:10.1075/is.17.2.03qua fatcat:nvcn74zodfhltpmp5la4tsujci

Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement

Serena Ivaldi, Salvatore M. Anzalone, Woody Rousseau, Olivier Sigaud, Mohamed Chetouani
2014 Frontiers in Neurorobotics  
We propose an object learning experiment where the human interacts in a natural way with the humanoid iCub.  ...  We hypothesize that the initiative of a robot during a collaborative task with a human can influence the pace of interaction, the human response to attention cues, and the perceived engagement.  ...  The work was partially funded by the European Commission, through the Projects CoDyCo (FP7-ICT-2011-9, No. 600716) and Michelangelo (FP7-ICT No. 288241), and by French National Agency of Research, through  ... 
doi:10.3389/fnbot.2014.00005 pmid:24596554 pmcid:PMC3925832 fatcat:hx5ey5fljra5diw2zc5nahlnoe

Functional advantages of an adaptive Theory of Mind for robotics: a review of current architectures [article]

Francesca Bianco, Dimitri Ognibene
2019 arXiv   pre-print
In the present paper, seven current robotic architectures for human-robot interactions were described as well as four main functional advantages of equipping robots with an adaptive ToM.  ...  Nonetheless, progresses towards better adaptive ToM features in robots are warranted to provide them with full access to the advantages of having a ToM resembling that of humans.  ...  and limits the quality of human-robot interactions.  ... 
arXiv:1909.00193v1 fatcat:4ohorkxoivbunieaabutbicn3a

Transferring Studies Across Embodiments: A Case Study in Confusion Detection [article]

Na Li, Robert Ross
2022 arXiv   pre-print
Human-robot studies are expensive to conduct and difficult to control, and as such researchers sometimes turn to human-avatar interaction in the hope of faster and cheaper data collection that can be transferred  ...  For the physical embodiment, we used a Pepper Robot, while for the virtual modality, we used a 3D avatar.  ...  For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.  ... 
arXiv:2206.01493v1 fatcat:jdoq3h6windybckohgck36tueu
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