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020 ▼a 9780438018631
035 ▼a (MiAaPQ)AAI10808798
035 ▼a (MiAaPQ)purdue:22720
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 658
1001 ▼a Nguyen-Vang-Phuc, Nguyen.
24512 ▼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.
5021 ▼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
71020 ▼a Purdue University. ▼b Industrial Engineering.
7730 ▼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
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997837 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033