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020 ▼a 9780438125322
035 ▼a (MiAaPQ)AAI10902925
035 ▼a (MiAaPQ)umichrackham:001162
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 658
1001 ▼a Jeong, Heejin.
24510 ▼a Computational Modeling and Experimental Research on Touchscreen Gestures, Audio/Speech Interaction, and Driving.
260 ▼a [S.l.] : ▼b University of Michigan., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 171 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Yili Liu.
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2018.
520 ▼a As humans are exposed to rapidly evolving complex systems, there are growing needs for humans and systems to use multiple communication modalities such as auditory, vocal (or speech), gesture, or visual channels
520 ▼a The computational cognitive models were implemented by extending the Queuing Network-Model Human Processor (QN-MHP) Architecture that enables simulation of human multi-task behaviors and multimodal interactions in human-machine systems. Three ex
520 ▼a Scientifically, the results of this dissertation research make significant contributions to our better understanding of the nature of touchscreen gestures, audio/speech interaction, and driving controls in human-machine systems and whether they
590 ▼a School code: 0127.
650 4 ▼a Industrial engineering.
690 ▼a 0546
71020 ▼a University of Michigan. ▼b Industrial & Operations Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000436 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자