LDR | | 02010nmm uu200397 4500 |
001 | | 000000332862 |
005 | | 20240805171728 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438018631 |
035 | |
▼a (MiAaPQ)AAI10808798 |
035 | |
▼a (MiAaPQ)purdue:22720 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 658 |
100 | 1 |
▼a Nguyen-Vang-Phuc, Nguyen. |
245 | 12 |
▼a A Measure of Human-Integrated System Performance Under Time-Varying Circumstances. |
260 | |
▼a [S.l.] :
▼b Purdue University.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 279 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
500 | |
▼a Adviser: Steven J. Landry. |
502 | 1 |
▼a Thesis (Ph.D.)--Purdue University, 2018. |
520 | |
▼a There are many methods to evaluate a system from given options in discrete or fixed situations ('circumstance'). However, most systems are operated under time-varying circumstances and it's not known how to evaluate the best system design when t |
520 | |
▼a In the first study ('the demonstration study'), the measures proved that they could be calculated and the learning curves could be plotted in continuous varying-circumstances. In the second study ('the empirical study'), we tested two systems un |
520 | |
▼a The findings are expected to provide an insight into understanding how human operators adapt to changing circumstances while still continuing to achieve the goal. The results also are envisioned to provide new metrics for evaluating the effectiv |
590 | |
▼a School code: 0183. |
650 | 4 |
▼a Industrial engineering. |
690 | |
▼a 0546 |
710 | 20 |
▼a Purdue University.
▼b Industrial Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0183 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997837
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |