<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mark Neerincx</style></author><author><style face="normal" font="default" size="100%">J. Lindenberg</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">J.M.C. Schraagen</style></author><author><style face="normal" font="default" size="100%">L. Militello</style></author><author><style face="normal" font="default" size="100%">T. Ormerod</style></author><author><style face="normal" font="default" size="100%">R. Lipshitz</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Situated cognitive engineering for complex task environments</style></title><secondary-title><style face="normal" font="default" size="100%">Naturalistic Decision Making and Macrocognition</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><publisher><style face="normal" font="default" size="100%">Ashgate Publishing Limited</style></publisher><pub-location><style face="normal" font="default" size="100%">Aldershot and UK</style></pub-location><pages><style face="normal" font="default" size="100%">373–390</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This chapter presented a generic cognitive engineering approach for the design of human-machine collaboration in which both human factors and technological constraints are being addressed in an iterative development process. Two case studies showed how this approach can be tailored to the specific needs of an application Figure 18.5 SCOPE showing a â€œjoint machine-astronautâ€ procedure (left) and control panel (right) Book - Schraagen.indb 383 20/03/2008 12:51:08 384 Naturalistic Decision Making and Macrocognition domain and refined into a toolkit for design guidance. In the space domain and the proposed SUITE method reduces the time and cost of development efforts and whereas it improves the usability of procedures and interfaces. In the project team and the SUITE design approach facilitated the contribution of different expertise types (for example and interaction design and software technology and payload) at the right time (that is and as early as possible) and whereas the use scenarios facilitated the communication between the different stakeholders. The SCOPE framework proved to support nominal and offnominal operations effectively and efficiently. Although the method and SCOPE framework can be applied independently and their combination will show the largest beneficial effects in terms of (1) better user performance and (2) earlier design changes and (3) reduced training efforts and and (4) efficient maintenance. In general and it should be stressed that the in-orbit environment and working conditions are extreme and requiring an extra need to â€œsituateâ€ the support. For example and due to micro-gravity and a restricted living area and unusual day-night light patterns and there is sleep deprivation and leading to reduced capacities to process information and a corresponding increased need for support. In the naval domain and we developed the SEAMATE method for intelligent user interfaces in future naval ships. Some support functions have been tested with good results. They are the current foundation of the envisioned adaptive user interfaces and which will be refined and tested in the near future. In this way and the knowledge base for the design of cognitive support increases systematically and focusing more and more on advanced human-machine collaboration implementations.</style></abstract></record></records></xml>