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| 020 | _a9783030797638 | ||
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_a10.1007/978-3-030-79763-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTA166 _b2021 EB |
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| 245 | 1 | 0 |
_aAdvances in Simulation and Digital Human Modeling : _bProceedings of the AHFE 2021 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, July 25-29, 2021, USA _cedited by Julia L. Wright, Daniel Barber, Sofia Scataglini, Sudhakar L. Rajulu. |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Pulishing _c2021 |
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| 300 |
_a1 recurso en línea (XV, 397 páginas) _b155 ilustraciones, 125 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aLecture Notes in Networks and Systems _x2367-3389 _v264 |
|
| 490 | 0 | _aIntelligent Technologies and Robotics (SpringerNature-42732) | |
| 490 | 0 | _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728) | |
| 505 | 0 | _aHuman-autonomy teaming with learning capable agents: Performance and workload outcome -- Examining vigilance decrement in a simulated unmanned aircraft system (UAS) monitoring task -- Quantifying survivability via measurement of bodily exposure during simulated combat engagements -- Supervisory control of automation during event-paced scenarios -- Exploiting interdependence in autonomous human-machine systems to avoid disaggregation and vulnerability -- Visualizing human-autonomy team dynamics through the development of a global after-action review technology -- Development of a neural network algorithm to detect Soldier load from environmental speech. | |
| 520 | 3 | _aThis book provides readers with a timely snapshot of modeling and simulation tools, including virtual and mixed-reality environment, for human factors research. It covers applications in healthcare and physical ergonomics, military and transportation systems, industrial monitoring, as well as economics and social sciences. Based on the AHFE 2021 International Conference on Human Factors and Simulation and the AHFE 2021 International Conference on Digital Human Modeling and Applied Optimization, held virtually on 25-29 July, 2021, from USA, the book offers a unique resource for modelling and simulation researchers seeking insights into human factors research and to human factors experts seeking reliable computational tools. | |
| 988 | _aSpringer_Robotics_2021 | ||
| 650 | 7 |
_2embne _9142089 _aErgonomía |
|
| 700 |
_aWright, Julia L _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682709 |
||
| 700 |
_aBarber, Daniel _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682710 |
||
| 700 | 1 |
_aScataglini, Sofia _eeditor literario _0(orcid)0000-0003-1575-9522 _1https://orcid.org/0000-0003-1575-9522 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682711 |
|
| 700 | 1 |
_aRajulu, Sudhakar L. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682712 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030797621 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030797645 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-79763-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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