{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:13:46Z","timestamp":1760242426076,"version":"build-2065373602"},"reference-count":31,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2017,7,20]],"date-time":"2017-07-20T00:00:00Z","timestamp":1500508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotics"],"abstract":"<jats:p>A customizable anthropomorphic telepresence robot (CATR) is an emerging medium that might have the highest degree of social presence among the existing mediated communication mediums. Unfortunately, there are problems with teleoperating a CATR, and these problems can deteriorate the gesture motion in a CATR. These problems are the disruption during decoupling, discontinuity due to the unstable transmission and jerkiness due to the reactive collision avoidance. From the review, none of the existing interfaces can simultaneously fix all of the problems. Hence, a novel framework with the perception-link behavior model (PLBM) was proposed. The PLBM adopts the distributed spatiotemporal representation for all of its input signals. Equipping it with other components, the PLBM can solve the above problems with some limitations. For instance, the PLBM can retrieve missing modalities from its experience during decoupling. Next, the PLBM can handle up to a high level of drop rate in the network connection because it is dealing with gesture style and not pose. For collision prevention, the PLBM can tune the incoming gesture style so that the CATR can deliberately and smoothly avoid a collision. In summary, the framework consists of PLBM being able to increase the user\u2019s presence on a CATR by synthesizing expressive user gestures.<\/jats:p>","DOI":"10.3390\/robotics6030016","type":"journal-article","created":{"date-parts":[[2017,7,20]],"date-time":"2017-07-20T11:21:59Z","timestamp":1500549719000},"page":"16","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot"],"prefix":"10.3390","volume":"6","author":[{"given":"William","family":"Gu","sequence":"first","affiliation":[{"name":"BeingTogether Centre, Institute for Media Innovation, Singapore 637553, Singapore"},{"name":"Robotic Research Centre, Nanyang Technological University, Singapore 639798, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerald","family":"Seet","sequence":"additional","affiliation":[{"name":"BeingTogether Centre, Institute for Media Innovation, Singapore 637553, Singapore"},{"name":"Robotic Research Centre, Nanyang Technological University, Singapore 639798, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadia","family":"Magnenat-Thalmann","sequence":"additional","affiliation":[{"name":"BeingTogether Centre, Institute for Media Innovation, Singapore 637553, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,7,20]]},"reference":[{"key":"ref_1","unstructured":"Pang, W.C., Wong, C.Y., and Seet, G. (2016, January 2\u20134). Design and development of edgar\u2014A telepresence humanoid for robot-mediated communication and social applications. Proceedings of the IEEE International Conference on Control and Robotics Engineering, Singapore."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Ekman, P. (2004). Emotional And Conversational Nonverbal Signals. Language, Knowledge, and Representation, Springer.","DOI":"10.1007\/978-1-4020-2783-3_3"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1177\/0146167295214010","article-title":"Gestures specialized for dialogue","volume":"21","author":"Bavelas","year":"1995","journal-title":"Personal. Soc. Psychol."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Neff, M., Wang, Y., Abbott, R., and Walker, M. (2010, January 20\u201322). Evaluating the Effect of Gesture and Language on Personality Perception in Conversational Agents. Proceedings of the International Conference on Intelligent Virtual Agent, Philadelphia, PA, USA.","DOI":"10.1007\/978-3-642-15892-6_24"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Adalgeirsson, S.O., and Breazeal, C. (2010, January 2\u20135). MeBot: A robotic platform for socially embodied telepresence. Proceedings of the ACM\/IEEE International Conference on Human-Robot Interaction, Osaka, Japan.","DOI":"10.1109\/HRI.2010.5453272"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2013\/902316","article-title":"A Review of Mobile Robotic Telepresence","volume":"2013","author":"Kristoffersson","year":"2013","journal-title":"Adv. Hum. Comput. Interact."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Park, H., Kim, E., Jang, S., and Park, S. (2005, January 7\u20139). HMM-based gesture recognition for robot control. Proceedings of the Iberian Conference on Pattern Recognition and Image Analysis, Estoril, Portugal.","DOI":"10.1007\/11492429_73"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1145\/1618452.1618517","article-title":"Modeling spatial and temporal variation in motion data","volume":"28","author":"Lau","year":"2009","journal-title":"ACM Trans. Graph."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/0004-3702(89)90049-0","article-title":"Connectionist learning procedures","volume":"40","author":"Hinton","year":"1989","journal-title":"Artif. Intell."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Hasegawa, K., and Nakauchi, Y. (2014, January 29\u201331). Preliminary Evaluation of a Telepresence Robot Conveying Pre-motions for Avoiding Speech Collisions. Proceedings of the Second International Conference on Human-Agent Interaction, Tsukuba, Japan.","DOI":"10.1109\/ROMAN.2013.6628491"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Hartmann, B., Mancini, M., and Pelachaud, C. (2005, January 18\u201320). Implementing expressive gesture synthesis for embodied conversational agents. Proceedings of the 6th International Conference on Gesture in Human-Computer Interaction and Simulation, Berder Island, France.","DOI":"10.1007\/11678816_22"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Neff, M., Kipp, M., Albrecht, I., and Seidel, H. (2008). Gesture modeling and animation based on a probabilistic re-creation of speaker style. ACM Trans. Graph., 27.","DOI":"10.1145\/1330511.1330516"},{"key":"ref_13","unstructured":"Taylor, G.W., Hinton, G.E., and Roweis, S.T. (2006, January 4\u20137). Modeling human motion using binary latent variables. Proceedings of the Advances in Neural Information Processing Systems, Vancouver, BC, Canada."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1145\/2766999","article-title":"Realtime Style Transfer for Unlabeled Heterogeneous Human Motion","volume":"34","author":"Xia","year":"2015","journal-title":"ACM Trans. Graph."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Danziger, K. (1976). Interpersonal Communication, Pergamon Press.","DOI":"10.1016\/B978-0-08-018757-0.50011-1"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1037\/0022-3514.76.6.893","article-title":"The chameleon effect: The percpetion-behavior link and social interaction","volume":"76","author":"Chartrand","year":"1999","journal-title":"J. Personal. Soc. Psychol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","article-title":"A Fast Learning Algorithm for Deep Belief Nets","volume":"18","author":"Hinton","year":"2006","journal-title":"Neural Comput."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/2200000006","article-title":"Learning Deep Architectures for AI","volume":"2","author":"Bengio","year":"2009","journal-title":"Found. Trends Mach. Learn."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1771","DOI":"10.1162\/089976602760128018","article-title":"Training products of experts by minimizing contrastive divergence","volume":"14","author":"Hinton","year":"2002","journal-title":"Neural Comput."},{"key":"ref_20","unstructured":"Nair, V., and Hinton, G.E. (2010, January 21\u201324). Rectified linear units improve restricted boltzmann machines. Proceedings of the International Conference on Machine Learning, Haifa, Israel."},{"key":"ref_21","unstructured":"Sutskever, I., and Hinton, G.E. (2007, January 21\u201324). Learning multilevel distributed representations for high-dimensional sequences. Proceedings of the International Conference on Artificial Intelligence and Statistics, San Juan, Puerto Rico."},{"key":"ref_22","first-page":"1025","article-title":"Two Distributed-State Models for Generating High-Dimensional Time Series","volume":"12","author":"Taylor","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2451","DOI":"10.1162\/089976600300015015","article-title":"Learning to forget: Continual Prediction with LSTM","volume":"12","author":"Gers","year":"2000","journal-title":"Neural Comput."},{"key":"ref_25","unstructured":"Jaeger, H. (2002). A Tutorial on Training Recurrent Neural Networks, Covering BPPT, RTRL, EKF and the \u201cEcho State Network\u201d Approach, German National Research Center for Information Technology."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1142\/S0129065796000270","article-title":"Concept hierarchy memory model: A neural architecture for conceptual knowledge representation, learning, and commonsense reasoning","volume":"7","author":"Tan","year":"1996","journal-title":"Int. J. Neural Syst."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4919","DOI":"10.1364\/AO.26.004919","article-title":"ART 2: Self-organization of stable category recognition codes for analog input patterns","volume":"26","author":"Carpenter","year":"1987","journal-title":"Appl. Opt."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1109\/72.668896","article-title":"Comparative analysis of fuzzy ART and ART-2A network clustering performance","volume":"9","author":"Frank","year":"1998","journal-title":"IEEE Trans. Neural Netw."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Fothergill, S., Mentis, H., Kohli, P., and Nowozin, S. (2012, January 5\u201310). Instructing people for training gestural interactive systems. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Austin, TX, USA.","DOI":"10.1145\/2207676.2208303"},{"key":"ref_30","unstructured":"Morency, L.P., and Sadeghipour, A. (2016, January 28). Available online: http:\/\/projects.ict.usc.edu\/3dig\/."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Lucey, P., Cohn, J.F., Kanade, T., Saragih, J., Ambadar, Z., Matthews, I., and Ave, F. (2010, January 13\u201318). The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition-Workshops, San Francisco, CA, USA.","DOI":"10.1109\/CVPRW.2010.5543262"}],"container-title":["Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2218-6581\/6\/3\/16\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:43:27Z","timestamp":1760208207000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2218-6581\/6\/3\/16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,20]]},"references-count":31,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2017,9]]}},"alternative-id":["robotics6030016"],"URL":"https:\/\/doi.org\/10.3390\/robotics6030016","relation":{},"ISSN":["2218-6581"],"issn-type":[{"type":"electronic","value":"2218-6581"}],"subject":[],"published":{"date-parts":[[2017,7,20]]}}}