{"_id":"3t6bRiuKf3cMQBzJK","bibbaseid":"burgoon-adkins-kruse-jensen-deokar-twitchell-lu-metaxas-etal-movingtowardintentdetectionatoolbasedapproach-2004","downloads":0,"creationDate":"2015-12-06T21:01:27.430Z","title":"Moving toward intent detection: A tool-based approach","author_short":["Burgoon, J.","Adkins, M.","Kruse, J.","Jensen, M.","Deokar, A.","Twitchell, D.","Lu, S.","Metaxas, D.","Nunamaker Jr., J.","Younger, R."],"year":2004,"bibtype":"inProceedings","biburl":null,"bibdata":{"title":"Moving toward intent detection: A tool-based approach","type":"inProceedings","year":"2004","id":"2d0d8e0c-f942-3822-8eda-2b582ed83af2","created":"2017-02-12T15:54:50.000Z","file_attached":false,"profile_id":"570a63ec-3ed0-3220-a240-3048ea496c19","last_modified":"2017-03-10T01:22:10.068Z","read":false,"starred":false,"authored":"true","confirmed":"true","hidden":false,"abstract":"Past research in deception detection at the University of Arizona has guided the investigation of intent detection. A theoretical foundation and model for the analysis of intent detection is proposed. Available test beds for intent analysis are discussed and two proof-of-concept studies exploring nonverbal communication within the context of intent detection are shared.","bibtype":"inProceedings","author":"Burgoon, J.K. and Adkins, M. and Kruse, J. and Jensen, M.L. and Deokar, A. and Twitchell, D.P. and Lu, S. and Metaxas, D.N. and Nunamaker Jr., J.F. and Younger, R.E.","booktitle":"Proceedings of the IEEE Conference on Intelligent Transportation Systems (ITSC '04)","bibtex":"@inProceedings{\n title = {Moving toward intent detection: A tool-based approach},\n type = {inProceedings},\n year = {2004},\n id = {2d0d8e0c-f942-3822-8eda-2b582ed83af2},\n created = {2017-02-12T15:54:50.000Z},\n file_attached = {false},\n profile_id = {570a63ec-3ed0-3220-a240-3048ea496c19},\n last_modified = {2017-03-10T01:22:10.068Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n abstract = {Past research in deception detection at the University of Arizona has guided the investigation of intent detection. A theoretical foundation and model for the analysis of intent detection is proposed. Available test beds for intent analysis are discussed and two proof-of-concept studies exploring nonverbal communication within the context of intent detection are shared.},\n bibtype = {inProceedings},\n author = {Burgoon, J.K. and Adkins, M. and Kruse, J. and Jensen, M.L. and Deokar, A. and Twitchell, D.P. and Lu, S. and Metaxas, D.N. and Nunamaker Jr., J.F. and Younger, R.E.},\n booktitle = {Proceedings of the IEEE Conference on Intelligent Transportation Systems (ITSC '04)}\n}","author_short":["Burgoon, J.","Adkins, M.","Kruse, J.","Jensen, M.","Deokar, A.","Twitchell, D.","Lu, S.","Metaxas, D.","Nunamaker Jr., J.","Younger, R."],"bibbaseid":"burgoon-adkins-kruse-jensen-deokar-twitchell-lu-metaxas-etal-movingtowardintentdetectionatoolbasedapproach-2004","role":"author","urls":{},"downloads":0},"search_terms":["moving","toward","intent","detection","tool","based","approach","burgoon","adkins","kruse","jensen","deokar","twitchell","lu","metaxas","nunamaker jr.","younger"],"keywords":["deception detection","decision support"],"authorIDs":[]}