Article published in:
Social Cues in Robot Interaction, Trust and Acceptance
Edited by Alessandra Rossi, Kheng Lee Koay, Silvia Moros, Patrick Holthaus and Marcus Scheunemann
[Interaction Studies 20:3] 2019
► pp. 530560
References

References

Aarno, D., & Kragic, D.
(2006) Layered HMM for motion intention recognition, In IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing 2006, pp. 5130–5135.   Crossref link
Arasaratnam, I., Haykin, S., Kirubarajan, T., & Dilkes, F.
(2006) Tracking the mode of operation of multi-function radars. 2006 IEEE Conference on Radar, Verona, NY, USA. Crossref link
Bratman, M.
(1999) Intention, plans, and practical reason. Harvard University Press. Crossref link
Baum, L. E., Petrie, T., Soules, G., & Weiss, N.
(1970) A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Ann. Math. Statist., 41, 1, pp. 164–171. Crossref link
Charniak, E., & Goldman, R.
(1993) A Bayesian model of plan recognition, Artif. Intell. 64, pp. 53–79. Crossref link
Chouchourelou, A., Matsuka, T., Harber, K., & Shiffrar, M.
(2006) The visual analysis of emotional actions. Social Neuroscience, 1, pp. 63–74. Crossref link
Clarke, T. J., Bradshaw, M. F., Field, D. T., Hampson, S. E., & Rose, D.
(2005) The perception of emotion from body movement in point-light displays of interpersonal dialogue. Perception, 34, pp. 1171–1180. Crossref link
Cutting, J. E., & Kozlowski, L. T.
(1977) Recognizing friends by their walk-gait perception without familiarity cues. Bulletin of the Psychonomic Society, 9, pp. 353–356. Crossref link
Daprati, E., Wriessnegger, S., & Lacquaniti, F.
(2007) Kinematic cues and recognition of self-generated actions. Experimental Brain Research, 177, pp. 31–44. Crossref link
Dennett, D. C.
(1987) The Intentional Stance. MIT Press. Crossref link
Dielmann, A., & Renals, S.
(2004) Dynamic Bayesian Networks for Meeting Structuring. In Proc. of the IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, pp. 629–632. Crossref link
[ p. 557 ]
Dittrich, W. H., Troscianko, T., Lea, S. E. G., & Morgan, D.
(1996) Perception of emotion from dynamic point-light displays represented in dance. Perception, 25, 727–738. Crossref link
Durdu, A., Erkmen, I., Erkmen, A. M., Yilmaz, A.
(2011) Morphing Estimated Human Intention via Human-Robot Interactions, Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering and Computer Science 2011, WCECS 2011, San Francisco, USA, pp. 354–359.
(2012) Chapter 13: Robotic Hardware and Software Integration for Changing Human Intentions. In Prototyping of Robotic Systems: Applications of Design and Implementation, Edited by T. Sobh and X. Xiong, Pennsylvania: IGI Global Publisher 2012 Crossref link
Durdu, A., Erkmen, I., Erkmen, A. M.
(2012) Observable Operator Models for Reshaping Estimated Human Intention by Robot Moves in Human-Robot Interactions, IEEE–INISTA-12 International Symposium on Innovations in Intelligent Systems and Applications, July 2012, Trabzon, TURKIYE. Crossref link
(2016) Estimating and Reshaping Human Intention via Human-Robot Interaction, Turkish J. Elec Eng & Comp Sci, 24, 1, pp. 88–104.
Grezes, J., Frith, C., & Passingham, R. E.
(2004) Brain mechanisms for inferring deceit in the actions of others. Journal of Neuroscience, 24, pp. 5500–5505. Crossref link
Jaeger, H., Zhao, M., and Kolling, A.
(2005) Efficient estimation of OOMs. In Advances in Neural Information Processing Systems (NIPS). MIT Press.
Kelley, R., Nicolescu, M., Tavakkoli, A., Nicolescu, M., Christopher King, George Bebis
(2008) Understanding Human Intentions via Hidden Markov Models in Autonomous Mobile Robots. HRI’08, March 12–15 2008, Amsterdam, Netherlands. Crossref link
Knoblich, G., & Prinz, W.
(2001) Recognition of self-generated actions from kinematic displays of drawing. Journal of Experimental Psychology: Human Perception and Performance, 27, pp. 456–465.
Kohler, E., Keysers, C., Umilta, M. A., Fogassi, L., Gallese, V., & Rizzolatti, G.
(2002) Hearing sounds, understanding actions: Action representation in mirror neurons. Science, 297, pp. 846–848. Crossref link
Lee, K. K., & Xu, Y.
(2004) Modeling human actions from learning. in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS ’04), 3, pp. 2787–2792.
Loula, F., Prasad, S., Harber, K., & Shiffrar, M.
(2005) Recognizing people from their movement. Journal of Experimental Psychology: Human Perception and Performance, 31, pp. 210–220.
Manera, V., Schouten, B., Becchio, C., Bara, B. G., & Verfaillie, K.
(2010) Inferring intentions from biological motion: A stimulus set of point-light communicative interactions. Behavior Research Methods, 42, pp. 168–178. Crossref link
Meltzoff, A. N.
(1995) Understanding the intentions of others: Reenactment of intended acts by 18-month-old children. Developmental Psychology, 31, 5, pp 1–16. Crossref link
Miyake, T., Matsumoto, T., Imamura, T., & Zhang, Z. E.
(2011) Estimation of facial expression from its change in time. ICIC Express Letters, Part B: Applications, 2, 3, pp 641–645.
[ p. 558 ]
Nakauchi, Y., Noguchi, K., Somwong, P., Matsubara, T., & Namatame, A.
(2003) Vivid room: human intention detection and activity support environment for ubiquitous autonomy. Intelligent Robots and Systems (IROS 2003).
Noguchi, K., Somwong, P., Matsubara, T., & Nakauchi, Y.
(2003) Human Intention Detection and Activity Support System for Ubiquitous Autonomy. Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation 2003, pp. 906–911. Crossref link
Pynadath, D.
(1999) Probabilistic Grammars for Plan Recognition, Doctoral Thesis, the University of Michigan, MI.
Rabiner, L. R.
(1989) A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE 77 (2): 257–286. Crossref link
Roether, C. L., Omlor, L., Christensen, A., & Giese, M.
(2009) Critical features for the perception of emotion from gait. Journal of Vision, 9, pp. 1–32. Crossref link
Runeson, S., & Frykholm, G.
(1981) Visual perception of lifted weight. Journal of Experimental Psychology: Human Perception and Performance, 7, pp.733–740.
Sebanz, N., & Shiffrar, M.
(2009) Detecting deception in a bluffing body: The role of expertise. Psychonomic Bulletin & Review, 16, pp. 170–175. Crossref link
Russell, S. J., & Norvig, P.
(2003) Artificial Intelligence: A Modern Approach, Prentice Hall series in artificial intelligence. Prentice Hall, second edition.
Schmidt, S., & Färber, B.
(2009) Pedestrians at the kerb – Recognising the action intentions of humans. Transportation Research Part F, 12, pp. 300–310. Crossref link
Schrempf, O. C., Albrecht, D., & Hanebeck, U. D.
(2007) Tractable Probabilistic Models for Intention Recognition Based on Expert Knowledge. Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, pp. 1429–1434. Crossref link
Sevdalis, V., & Keller, P. E.
(2009) Self-recognition in the perception of actions performed in synchrony with music. Annals of the New York Academy of Sciences, 1169, pp. 499–502. Crossref link
(2010) Cues for self-recognition in point-light displays of actions performed in synchrony with music. Consciousness and Cognition, 19, 2, pp. 617–626. Crossref link
Spanczer, I.
(2007) Observable Operator Models. Austrian Journal of Statistics, 36, 1, pp. 41–52. Crossref link
Tahboub, K. A.
(2005) Compliant Human-Robot Cooperation based on Intention Recognition. Proceedings of the 2005 IEEE International Symposium on Intelligent Control, Limassol, Cyprus, June 27–29, pp. 1417–1422.
(2006) Intelligent Human-Machine Interaction Based on Dynamic Bayesian Networks Probabilistic Intention Recognition. Journal of Intelligent Robotics Systems, 45, 1, pp. 31–52. Crossref link
Terada, K., Shamoto, T., Mei, H., & Ito, A.
(2007) Reactive Movements of Non-humanoid Robots Cause Intention Attribution in Humans. Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, pp. 3715–3720. Crossref link
Viterbi, A. J.
(1967) “Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm”, IEEE Transactions on Information Theory, 13, 2, pp. 260–269. Crossref link
[ p. 559 ]
Webb, T. L., & Sheeran, P.
(2006) Does changing behavioral intentions engender behavior change? A metaanalysis of the experimental evidence. Psychological Bulletin, 132, 2, pp. 249–268. Crossref link
Zhang, D., Gatica-Perez, D., Bengio, S., McCowan, I., & Lathoud, G.
(2004) Modeling Individual and Group Actions in Meetings: A Two-Layer HMM Framework. In Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition Workshop, pp. 117–117.
[ p. 560 ]