{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:55:43Z","timestamp":1730300143903,"version":"3.28.0"},"reference-count":31,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/tale.2018.8615413","type":"proceedings-article","created":{"date-parts":[[2019,1,18]],"date-time":"2019-01-18T00:40:19Z","timestamp":1547772019000},"page":"513-519","source":"Crossref","is-referenced-by-count":1,"title":["Transferring Human Tutor's Style to Pedagogical Agent: A Possible Way by Leveraging Variety of Artificial Intelligence Achievements"],"prefix":"10.1109","author":[{"given":"Xiang","family":"Feng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoran","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Longhui","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","first-page":"926","article-title":"Reasoning with neural tensor networks for knowledge base completion","author":"socher","year":"0","journal-title":"Advances in Neural Information Processing Systems 2013"},{"key":"ref30","first-page":"2181","article-title":"Learning entity and relation embeddings for knowledge graph completion","volume":"15","author":"lin","year":"0","journal-title":"AAAI 2015"},{"key":"ref10","first-page":"43","article-title":"Tools for authoring a dialogue agent that participates in learning studies","volume":"158","author":"carolyn","year":"2007","journal-title":"Artif Intell Educ Build Technol Rich Learn Contexts Work"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383315"},{"key":"ref12","first-page":"188","article-title":"Implementing Expressive Gesture Synthesis for Embodied Conversational Agents","author":"hartmann","year":"2006","journal-title":"Proceedings of the 6th International Conference on Gesture in Human-Computer Interaction and Simulation"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25090-3_9"},{"journal-title":"The Behavior Markup Language Recent Developments and Challenges | SpringerLink","year":"0","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.94"},{"key":"ref16","first-page":"433","article-title":"Ontology-based deep learning for human behavior prediction in health social networks","author":"phan","year":"2015","journal-title":"Journal of Bioinformatics and Computational Biology"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.08.038"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/089976699300016890"},{"key":"ref19","first-page":"243","article-title":"Motion style transformation by extracting and applying motion features","author":"terasaki","year":"2006","journal-title":"International Conference on Computer Animation and Social Agents"},{"journal-title":"Generating factoid questions with recurrent neural networks The 30m factoid question-answer corpus","year":"2016","author":"serban","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11423-006-0637-3"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-1036"},{"journal-title":"Pedagogical Agents as Social Models to Influence Learner Attitudes","year":"2007","author":"kim","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/cogs.12344"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052675"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1037\/a0028616"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s40593-015-0065-9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139547369.017"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1007\/978-1-4614-3185-5_61","article-title":"Pedagogical agents","author":"veletsianos","year":"2014","journal-title":"Handbook of Research on Educational Communications and Technology"},{"key":"ref9","first-page":"199","article-title":"ASAT: AutoTutor script authoring tool","volume":"3","author":"cai","year":"0","journal-title":"Design recommendations for intelligent tutoring systems authoring tools"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"2567","DOI":"10.1007\/978-1-4419-1428-6_942","article-title":"Pedagogical Agents","author":"clarebout","year":"2012","journal-title":"Encyclopedia of the Sciences of Learning"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"93:1","DOI":"10.1145\/3072959.3073699","article-title":"A Deep Learning Approach for Generalized Speech Animation","volume":"36","author":"taylor","year":"2017","journal-title":"ACM Trans Graph"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"95:1","DOI":"10.1145\/3072959.3073640","article-title":"Synthesizing Obama: Learning Lip Sync from Audio","volume":"36","author":"suwajanakorn","year":"2017","journal-title":"ACM Trans Graph"},{"journal-title":"ObamaNet Photo-realistic lip-sync from text","year":"2017","author":"kumar","key":"ref21"},{"journal-title":"WaveNet A Generative Model for Raw Audio","year":"2016","author":"van den oord","key":"ref24"},{"key":"ref23","first-page":"42","article-title":"Phase-functioned neural networks for character control","volume":"36","author":"holden","year":"2017","journal-title":"ACM Transactions on Graphics( TOG)"},{"journal-title":"Deep voice 3 2000-speaker neural text-to-speech","year":"2017","author":"ping","key":"ref26"},{"journal-title":"Towards end-to-end prosody transfer for expressive speech synthesis with tacotron","year":"2018","author":"skerry-ryan","key":"ref25"}],"event":{"name":"2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)","start":{"date-parts":[[2018,12,4]]},"location":"Wollongong, NSW","end":{"date-parts":[[2018,12,7]]}},"container-title":["2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8600698\/8615123\/08615413.pdf?arnumber=8615413","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T23:37:42Z","timestamp":1643240262000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8615413\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/tale.2018.8615413","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}