{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T11:26:33Z","timestamp":1722943593323},"reference-count":18,"publisher":"Engineering and Technology Publishing","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2017]]},"DOI":"10.12720\/jcm.12.2.118-122","type":"journal-article","created":{"date-parts":[[2017,12,28]],"date-time":"2017-12-28T04:06:18Z","timestamp":1514433978000},"source":"Crossref","is-referenced-by-count":0,"title":["Crowd Naturalness Driven Mobile Cognition Scheme in Human Computer Interaction Dialogue System"],"prefix":"10.12720","author":[{"name":"College of Computer, Henan University of Engineering, Henan, Zhengzhou 450007 China","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qin","family":"Qin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong-qiang","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"4977","published-online":{"date-parts":[[2017]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"[1] D. B. J. Van, T. Cai, S. Grimoud, and B. Sayrac, \"How a layered REM architecture brings cognition to today's mobile networks,\" IEEE Wireless Communications, vol. 19, no. 4, pp. 17-24, 2012.","key":"ref0","DOI":"10.1109\/MWC.2012.6272419"},{"doi-asserted-by":"crossref","unstructured":"[2] P. Rouanet, P. Y. Oudeyer, F. Danieau, and D. Filliat, \"The impact of human\u2013Robot interfaces on the learning of visual objects,\" IEEE Transactions on Robotics, vol. 29, no. 2, pp. 525-541, 2013.","key":"ref1","DOI":"10.1109\/TRO.2012.2228134"},{"doi-asserted-by":"crossref","unstructured":"[3] G. Palmas, M. Bachynskyi, A. Oulasvirta, and H. P. Seidel, \"MovExp: A versatile visualization tool for human-computer interaction studies with 3D performance and biomechanical data,\" IEEE Transactions on Visualization & Computer Graphics, vol. 20, no. 12, pp. 2359-2368, 2014.","key":"ref2","DOI":"10.1109\/TVCG.2014.2346311"},{"doi-asserted-by":"crossref","unstructured":"[4] S. Png, J. Pineau, and B. Chaib-Draa, \"Building adaptive dialogue systems via Bayes-adaptive POMDPs,\" IEEE Journal of Selected Topics in Signal Processing, vol. 6, no. 8, pp. 917-927, 2012.","key":"ref3","DOI":"10.1109\/JSTSP.2012.2229962"},{"doi-asserted-by":"crossref","unstructured":"[5] D. Lee, M. Jeong, K. Kim, S. Ryu, and G. G. Lee, \"Unsupervised spoken language understanding for a multi-domain dialog system,\" IEEE Transactions on Audio Speech & Language Processing, vol. 21, no. 11, pp. 2451-2464, 2013.","key":"ref4","DOI":"10.1109\/TASL.2013.2280212"},{"doi-asserted-by":"crossref","unstructured":"[6] N. Novielli and C. Strapparava, \"The role of affect analysis in dialogue act identification,\" IEEE Transactions on Affective Computing, vol. 4, no. 4, pp. 439-451, 2013.","key":"ref5","DOI":"10.1109\/T-AFFC.2013.20"},{"doi-asserted-by":"crossref","unstructured":"[7] S. C. Sundararajan and S. V. Nitta, \"Designing engaging intelligent tutoring systems in an age of cognitive computing,\" IBM Journal of Research & Development, vol. 59, no. 6, 2015.","key":"ref6","DOI":"10.1147\/JRD.2015.2464085"},{"doi-asserted-by":"crossref","unstructured":"[8] W. L. Wei, C. H. Wu, J. C. Lin, and H. Li, \"Exploiting psychological factors for interaction style recognition in spoken conversation,\" IEEE\/ACM Transactions on Audio Speech & Language Processing, vol. 22, no. 3, pp. 659-671, 2014.","key":"ref7","DOI":"10.1109\/TASLP.2014.2300339"},{"doi-asserted-by":"crossref","unstructured":"[9] M. Skowron, M. Theunis, S. Rank, and A. Kappas, \"Affect and social processes in online communication - Experiments with an affective dialog system,\" IEEE Transactions on Affective Computing, vol. 4, no. 3, pp. 267-279, 2013.","key":"ref8","DOI":"10.1109\/T-AFFC.2013.16"},{"doi-asserted-by":"crossref","unstructured":"[10] S. Mei, Y. Zhu, X. Qiu, and X. Zhou, \"Individual decision making can drive epidemics: A fuzzy cognitive map study,\" IEEE Transactions on Fuzzy Systems, vol. 22, no. 2, pp. 264-273, 2013.","key":"ref9","DOI":"10.1109\/TFUZZ.2013.2251638"},{"doi-asserted-by":"crossref","unstructured":"[11] J. An, X. Gui, Z. Wang, and J. Yang, \"A crowdsourcing assignment model based on mobile crowd sensing in the internet of things,\" Internet of Things Journal IEEE, vol. 2, no. 5, pp. 1-1, 2015.","key":"ref10","DOI":"10.1109\/JIOT.2015.2415035"},{"doi-asserted-by":"crossref","unstructured":"[12] J. Hollan, E. Hutchins, and D. Kirsh, \"distributed cognition: Towards a new foundation for human-computer interaction research,\" ACM Transactions on Computer-Human Interaction, vol. 7, no. 2, pp. 174-196, 2015.","key":"ref11","DOI":"10.1145\/353485.353487"},{"doi-asserted-by":"crossref","unstructured":"[13] P. Premaratne, \"Human computer interaction using hand gestures,\" Communications in Computer & Information Science, vol. 93, no. 3, pp. 2357-2360, 2014.","key":"ref12","DOI":"10.1007\/978-981-4585-69-9"},{"doi-asserted-by":"crossref","unstructured":"[14] H. Limerick, D. Coyle, and J. W. Moore, \"The experience of agency in human-computer interactions: A review,\" Frontiers in Human Neuroscience, vol. 8, no. 8, pp. 643-643, 2014.","key":"ref13","DOI":"10.3389\/fnhum.2014.00643"},{"doi-asserted-by":"crossref","unstructured":"[15] D. Prylipko, et al., \"Analysis of significant dialog events in realistic human\u2013computer interaction,\" Journal on Multimodal User Interfaces, vol. 8, no. 1, pp. 75-86, 2014.","key":"ref14","DOI":"10.1007\/s12193-013-0144-x"},{"unstructured":"[16] L. Y. Wan and Z. University, \"Application of human-computer interaction design in product design,\" Packaging Engineering, pp. 437-439, 2014.","key":"ref15"},{"doi-asserted-by":"crossref","unstructured":"[17] J. Wang, \"Ultra-dense small cell planning using cognitive radio network toward 5G,\" IEEE Wireless Communications, vol. 22, no. 6, pp. 76-83, 2015.","key":"ref16","DOI":"10.1109\/MWC.2015.7368827"},{"doi-asserted-by":"crossref","unstructured":"[18] C. Zhang, Y. Zhang, J. Xiao, and J. Yu, \"Aeronautical central cognitive broadband air-to-ground communications,\" IEEE Journal on Selected Areas in Communications, vol. 33, no. 5, pp. 946-957, 2015.","key":"ref17","DOI":"10.1109\/JSAC.2014.2361089"}],"container-title":["Journal of Communications"],"original-title":[],"link":[{"URL":"http:\/\/www.jocm.us\/uploadfile\/2017\/0306\/20170306060314364.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,8]],"date-time":"2019-10-08T16:00:23Z","timestamp":1570550423000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.jocm.us\/index.php?m=content&c=index&a=show&catid=172&id=1084"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":18,"URL":"https:\/\/doi.org\/10.12720\/jcm.12.2.118-122","relation":{},"ISSN":["2374-4367"],"issn-type":[{"type":"print","value":"2374-4367"}],"subject":[],"published":{"date-parts":[[2017]]}}}