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Automated Prediction of Extraversion During Human–Humanoid Interaction
2017
International Journal of Social Robotics
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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]
2013
Smart Innovation, Systems and Technologies
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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
2020
IEEE Transactions on robotics
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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
2022
Frontiers in Robotics and AI
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In this context, the investigation of how to endow a humanoid robot with social behavioral skills typical of human–human 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
2018
Conference on Robot Learning
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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
2018
Autonomous Robots
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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
2020
Frontiers in Robotics and AI
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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
2019
Frontiers in Robotics and AI
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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
2015
International Journal of Social Robotics
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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
2015
Robotics and Autonomous Systems
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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
2018
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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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
2016
Interaction Studies
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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
2014
Frontiers in Neurorobotics
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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]
2019
arXiv
pre-print
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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]
2022
arXiv
pre-print
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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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