Improving dynamic decision making in complex systems through ecological interface design: A research overview Export

@article{citeulike:3993138, abstract = {Research on dynamic decision making in complex systems has paid little attention to the impact of interface design on human performance. Ecological interface design (EID) is a theoretical framework for designing computer interfaces for complex human-machine systems that addresses this issue. This article provides an overview of a research program on EID conducted in the author's laboratory. A detailed example showing how the principles of EID can be applied to design an interface for a simplified but representative thermal-hydraulic process-control simulation is presented. Also, the results from laboratory research, lessons learned from an industrial prototype, and the details of technology transfer to industry are reviewed. Collectively, the findings from this research program demonstrate that dynamic decision-making performance in complex systems can be significantly improved through appropriate interface design. This conclusion has significant implications for system dynamics research.}, address = {Department of Mechanical \& Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario, Canada M5S 3G8}, author = {Vicente, Kim J.}, citeulike-article-id = {3993138}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/(SICI)1099-1727(199624)12:4%3C251::AID-SDR108%3E3.0.CO;2-S}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/20755/ABSTRACT}, comment = {This is a interesting article on using better interfaces in microworld experiments. The article points out that many microworld experiments typically have purposely opaque interfaces into the underlying mechanics, which is compared to ” asses people's abilities to drive a car by conducting an experiment at night, in poor weather with bad visibility”. While I'm not convinced by the main argument that opaqueness is not an inherent characteristic of the system rather the UI the authors have filled a niche sorely missed so far by starting this line of argument. }, doi = {10.1002/(SICI)1099-1727(199624)12:4%3C251::AID-SDR108%3E3.0.CO;2-S}, journal = {System Dynamics Review}, keywords = {cognition, complex\_decision\_making, complex\_system, decision\_support}, number = {4}, pages = {251--279}, posted-at = {2009-02-02 04:46:35}, priority = {2}, title = {Improving dynamic decision making in complex systems through ecological interface design: A research overview}, url = {http://dx.doi.org/10.1002/(SICI)1099-1727(199624)12:4%3C251::AID-SDR108%3E3.0.CO;2-S}, volume = {12}, year = {1996} }

TY - JOUR ID - citeulike:3993138 L3 - citeulike-article-id:3993138 N2 - Research on dynamic decision making in complex systems has paid little attention to the impact of interface design on human performance. Ecological interface design (EID) is a theoretical framework for designing computer interfaces for complex human-machine systems that addresses this issue. This article provides an overview of a research program on EID conducted in the author's laboratory. A detailed example showing how the principles of EID can be applied to design an interface for a simplified but representative thermal-hydraulic process-control simulation is presented. Also, the results from laboratory research, lessons learned from an industrial prototype, and the details of technology transfer to industry are reviewed. Collectively, the findings from this research program demonstrate that dynamic decision-making performance in complex systems can be significantly improved through appropriate interface design. This conclusion has significant implications for system dynamics research. IS - 4 JF - System Dynamics Review AD - Department of Mechanical & Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario, Canada M5S 3G8 EP - 279 TI - Improving dynamic decision making in complex systems through ecological interface design: A research overview VL - 12 SP - 251 KW - cognition KW - complex_decision_making KW - complex_system KW - decision_support N1 - This is a interesting article on using better interfaces in microworld experiments. The article points out that many microworld experiments typically have purposely opaque interfaces into the underlying mechanics, which is compared to “asses people’s abilities to drive a car by conducting an experiment at night, in poor weather with bad visibility”. While I'm not convinced by the main argument that opaqueness is not an inherent characteristic of the system rather the UI the authors have filled a niche sorely missed so far by starting this line of argument. AU - Vicente, Kim PY - 1996/// UR - http://dx.doi.org/10.1002/(SICI)1099-1727(199624)12:4%3C251::AID-SDR108%3E3.0.CO;2-S ER -