Automatically Classifying User Engagement for Dynamic Multi-party Human–Robot Interaction
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[1] Oliver Lemon,et al. A nonparametric Bayesian approach to learning multimodal interaction management , 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).
[2] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[3] R. Baayen,et al. Mixed-effects modeling with crossed random effects for subjects and items , 2008 .
[4] Geoff Holmes,et al. Benchmarking Attribute Selection Techniques for Discrete Class Data Mining , 2003, IEEE Trans. Knowl. Data Eng..
[5] Sebastian Loth,et al. Automatic detection of service initiation signals used in bars , 2013, Front. Psychol..
[6] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[7] Brian Scassellati,et al. Comparing Models of Disengagement in Individual and Group Interactions , 2015, 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[8] Maria Pateraki,et al. Comparing task-based and socially intelligent behaviour in a robot bartender , 2013, ICMI '13.
[9] Ronald P. A. Petrick,et al. EXPERIENCES WITH PLANNING FOR NATURAL LANGUAGE GENERATION , 2011, Comput. Intell..
[10] Ronald P. A. Petrick,et al. Planning for Social Interaction with Sensor Uncertainty , 2014 .
[11] Kerstin Dautenhahn,et al. Socially intelligent robots: dimensions of human–robot interaction , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.
[12] Panos Trahanias,et al. Visual human-robot communication in social settings , 2013 .
[13] Yong Wang,et al. Using Model Trees for Classification , 1998, Machine Learning.
[14] Oliver Lemon,et al. Training and evaluation of an MDP model for social multi-user human-robot interaction , 2013, SIGDIAL Conference.
[15] Jenq-Neng Hwang,et al. A Review on Video-Based Human Activity Recognition , 2013, Comput..
[16] Maria Pateraki,et al. Visual tracking of hands, faces and facial features of multiple persons , 2012, Machine Vision and Applications.
[17] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[18] R. Allan Reese,et al. Linear Mixed Models: a Practical Guide using Statistical Software , 2008 .
[19] Elena Torta,et al. Socially Assistive Robots: A Comprehensive Approach to Extending Independent Living , 2013, International Journal of Social Robotics.
[20] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[21] Jan Peter De Ruiter,et al. Insights from the bar: A model of interaction , 2012 .
[22] Eric Horvitz,et al. Learning to Predict Engagement with a Spoken Dialog System in Open-World Settings , 2009, SIGDIAL Conference.
[23] Alois Knoll,et al. Social behavior recognition using body posture and head pose for human-robot interaction , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[24] Goldie Nejat,et al. Affect detection from body language during social HRI , 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.
[25] Junji Yamato,et al. A probabilistic inference of multiparty-conversation structure based on Markov-switching models of gaze patterns, head directions, and utterances , 2005, ICMI '05.
[26] Ronald P. A. Petrick,et al. Planning for Social Interaction in a Robot Bartender Domain , 2013, ICAPS.
[27] Jorge Nocedal,et al. Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization , 1997, TOMS.
[28] Jose I. Figueroa-Angulo,et al. Compound Hidden Markov Model for Activity Labelling , 2015 .
[29] Christian Wolf,et al. Social Behavior Modeling Based on Incremental Discrete Hidden Markov Models , 2013, HBU.
[30] Björn Granström,et al. Multimodality in Language and Speech Systems , 2002 .
[31] Kazuhiro Otsuka. Conversation Scene Analysis [Social Sciences] , 2011, IEEE Signal Processing Magazine.
[32] Miguel A. Labrador,et al. A Survey on Human Activity Recognition using Wearable Sensors , 2013, IEEE Communications Surveys & Tutorials.
[33] Qianli Xu,et al. Attention-based addressee selection for service and social robots to interact with multiple persons , 2012, WASA '12.
[34] Mary Ellen Foster. Validating Attention Classifiers for Multi-Party Human-Robot Interaction , 2014 .
[35] H. Bekkering,et al. Joint action: bodies and minds moving together , 2006, Trends in Cognitive Sciences.
[36] Elena Torta,et al. How Can a Robot Attract the Attention of Its Human Partner? A Comparative Study over Different Modalities for Attracting Attention , 2012, ICSR.
[37] Eric Horvitz,et al. Dialog in the open world: platform and applications , 2009, ICMI-MLMI '09.
[38] S. Cessie,et al. Ridge Estimators in Logistic Regression , 1992 .
[39] Alois Knoll,et al. Modelling State of Interaction from Head Poses for Social Human-Robot Interaction , 2012, HRI 2012.
[40] Mark A. Hall,et al. Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning , 1999, ICML.
[41] Maria Pateraki,et al. Two people walk into a bar: dynamic multi-party social interaction with a robot agent , 2012, ICMI '12.
[42] Min Wu,et al. Emotion-Age-Gender-Nationality Based Intention Understanding in Human–Robot Interaction Using Two-Layer Fuzzy Support Vector Regression , 2015, International Journal of Social Robotics.
[43] Cynthia Breazeal,et al. Socially intelligent robots: research, development, and applications , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).
[44] Oliver Lemon,et al. Towards Action Selection Under Uncertainty for a Socially Aware Robot Bartender , 2014, 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[45] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[46] B. Granström,et al. NATURAL TURN-TAKING NEEDS NO MANUAL : COMPUTATIONAL THEORY AND MODEL , FROM PERCEPTION TO ACTION , 2002 .
[47] Michael White,et al. Efficient Realization of Coordinate Structures in Combinatory Categorial Grammar , 2006 .
[48] Hiroshi Murase,et al. Conversation Scene Analysis with Dynamic Bayesian Network Basedon Visual Head Tracking , 2006, 2006 IEEE International Conference on Multimedia and Expo.
[49] Alex Pentland,et al. Coupled hidden Markov models for complex action recognition , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[50] Prasun Dewan,et al. Engagement analysis through computer vision , 2012, 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom).
[51] Andrew McCallum,et al. An Introduction to Conditional Random Fields for Relational Learning , 2007 .
[52] Peter Wittenburg,et al. ELAN: a Professional Framework for Multimodality Research , 2006, LREC.
[53] Dirk Heylen,et al. Listening Heads , 2006, ZiF Workshop.
[54] Agata Rozga,et al. Using electrodermal activity to recognize ease of engagement in children during social interactions , 2014, UbiComp.
[55] David W. Aha,et al. Instance-Based Learning Algorithms , 1991, Machine Learning.
[56] Amy Isard,et al. Social State Recognition and Knowledge-Level Planning for Human-Robot Interaction in a Bartender Domain , 2012 .
[57] Kristinn R. Thórisson,et al. Natural Turn-Taking Needs No Manual: Computational Theory and Model, from Perception to Action , 2002 .
[58] Sean Andrist,et al. Designing effective gaze mechanisms for virtual agents , 2012, CHI.
[59] Ana Paiva,et al. Detecting Engagement in HRI: An Exploration of Social and Task-Based Context , 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.
[60] Paul Davidsson,et al. Quantifying the Impact of Learning Algorithm Parameter Tuning , 2006, AAAI.
[61] William W. Cohen. Fast Effective Rule Induction , 1995, ICML.
[62] Manuel Giuliani,et al. How can i help you': comparing engagement classification strategies for a robot bartender , 2013, ICMI '13.
[63] Manuel Giuliani,et al. Ghost-in-the-Machine reveals human social signals for human–robot interaction , 2015, Front. Psychol..
[64] P. Trahanias,et al. Visual tracking of hands , faces and facial features as a basis for human-robot communication , 2011 .
[65] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[66] Laurel D. Riek,et al. Joint action perception to enable fluent human-robot teamwork , 2015, 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).
[67] Jake K. Aggarwal,et al. Human activity recognition from 3D data: A review , 2014, Pattern Recognit. Lett..