Ecological interface design for petrochemical applications: supporting operator adaptation, continuous learning, and distributed, collaborative work Export

@article{jamieson01, abstract = {Future support systems for operators of petrochemical refineries will have to support operator adaptation to unanticipated events, foster continuous learning, and facilitate distributed, collaborative work. This paper describes Ecological Interface Design, a candidate framework for human-computer interface design that has the potential to fulfill these diverse demands. Support for adaptation and continuous learning is demonstrated though the design of a novel operator interface for a fluid catalytic cracking unit. While the framework forms a basis upon which a distributed, collaborative support system may be built, no such design is presented here. The process of the application of the framework is described in detail, including the domain modelling activity and a description of the resulting graphical user interface. Limitations to applying the design approach to operational plants are discussed.}, author = {Jamieson, Greg A. and Vicente, Kim J.}, citeulike-article-id = {171290}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/S0098-1354(01)00678-0}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6TFT-43MJHCN-B/2/ef7789cbefb9a1b06f751b69a03233b7}, day = {15}, doi = {10.1016/S0098-1354(01)00678-0}, journal = {Computers \& Chemical Engineering}, keywords = {1406, analysis, cognition, empirical, work}, month = {August}, number = {7-8}, pages = {1055--1074}, posted-at = {2005-04-25 22:27:49}, priority = {2}, title = {Ecological interface design for petrochemical applications: supporting operator adaptation, continuous learning, and distributed, collaborative work}, url = {http://dx.doi.org/10.1016/S0098-1354(01)00678-0}, volume = {25}, year = {2001} }

TY - JOUR ID - jamieson01 L3 - citeulike-article-id:171290 N2 - Future support systems for operators of petrochemical refineries will have to support operator adaptation to unanticipated events, foster continuous learning, and facilitate distributed, collaborative work. This paper describes Ecological Interface Design, a candidate framework for human-computer interface design that has the potential to fulfill these diverse demands. Support for adaptation and continuous learning is demonstrated though the design of a novel operator interface for a fluid catalytic cracking unit. While the framework forms a basis upon which a distributed, collaborative support system may be built, no such design is presented here. The process of the application of the framework is described in detail, including the domain modelling activity and a description of the resulting graphical user interface. Limitations to applying the design approach to operational plants are discussed. IS - 7-8 JF - Computers & Chemical Engineering EP - 1074 TI - Ecological interface design for petrochemical applications: supporting operator adaptation, continuous learning, and distributed, collaborative work VL - 25 SP - 1055 KW - 1406 KW - analysis KW - cognition KW - empirical KW - work AU - Jamieson, Greg AU - Vicente, Kim PY - 2001/08/15/ UR - http://dx.doi.org/10.1016/S0098-1354(01)00678-0 ER -