LDR | | 00000nmm u2200205 4500 |
001 | | 000000330779 |
005 | | 20241104160002 |
008 | | 181129s2018 ||| | | | eng d |
020 | |
▼a 9780438125322 |
035 | |
▼a (MiAaPQ)AAI10902925 |
035 | |
▼a (MiAaPQ)umichrackham:001162 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
049 | 1 |
▼f DP |
082 | 0 |
▼a 658 |
100 | 1 |
▼a Jeong, Heejin. |
245 | 10 |
▼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. |
502 | 1 |
▼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 |
710 | 20 |
▼a University of Michigan.
▼b Industrial & Operations Engineering. |
773 | 0 |
▼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 |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000436
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자
▼b 관리자 |